diff --git a/_datasets/json/rdls_vln-chl_etris_tsunamivulnerability.json b/_datasets/json/rdls_vln-chl_etris_tsunamivulnerability.json new file mode 100644 index 000000000..add0ab032 --- /dev/null +++ b/_datasets/json/rdls_vln-chl_etris_tsunamivulnerability.json @@ -0,0 +1,141 @@ +{ + "datasets": [ + { + "id": "rdls_vln-chl_etris_tsunamivulnerability", + "title": "ETRiS Tsunami Vulnerability and Fragility Functions - Chile (2010 Chilean Tsunami)", + "description": "Empirical tsunami vulnerability and fragility curves for Chile derived from the 2010 Chilean Tsunami post-event survey data. Contains 1 aggregate building vulnerability curve and 1 aggregate fragility curve (single damage state exceedance), each in 3 statistical model variants (logit, probit, cloglog). Developed by the European Tsunami Risk Service (ETRiS).", + "risk_data_type": [ + "vulnerability" + ], + "purpose": "Tsunami risk assessment for buildings in Chile. The vulnerability curve relates tsunami flow depth to expected structural damage ratio, and the fragility curve provides damage state exceedance probability for aggregate building stock.", + "project": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + }, + "details": "Aggregate curves for all building types combined. Fragility provides exceedance probability for 1 damage state (D1). Vulnerability provides damage ratio with epistemic uncertainty bounds (16th, 50th, 84th percentiles). Three link function variants: M1 (logit), M2 (probit), M3 (cloglog).", + "spatial": { + "scale": "sub-national", + "countries": [ + "CHL" + ], + "gazetteer_entries": [ + {"id": "gaz_maule", "scheme": "GEONAMES", "description": "Region del Maule", "uri": "geonames.org/3880306/region-del-maule.html"}, + {"id": "gaz_biobio", "scheme": "GEONAMES", "description": "Region del Biobio", "uri": "geonames.org/3898380/region-del-biobio.html"}, + {"id": "gaz_constitucion", "scheme": "GEONAMES", "description": "Constitucion", "uri": "geonames.org/3893726/constitucion.html"} + ] + }, + "license": "CC0-1.0", + "version": "1.0.0", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "ETRiS - European Tsunami Risk Service, University of Naples Federico II", + "url": "https://eurotsunamirisk.org/" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "ETRiS Research Team, University of Naples Federico II", + "url": "https://github.com/eurotsunamirisk" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + } + } + ], + "referenced_by": [ + { + "id": "ref_ged4all", + "name": "Global Exposure Database for Multi-Hazard Risk Analysis", + "author_names": [ + "V. Silva", + "D. Amo-Oduro", + "A. Calderon", + "J. Dabbeek", + "V. Despotaki", + "L. Martins", + "A. Rao", + "M. Simionato", + "D. Vigano" + ], + "date_published": "2018", + "url": "https://www.globalquakemodel.org/gempublications/global-exposure-database-for-multi-hazard-risk-analysis-multi-hazard-exposure-taxonomy" + } + ], + "resources": [ + { + "id": "resource_etris_chl", + "title": "ETRiS Data Products - Chilean Tsunami 2010", + "description": "Vulnerability and fragility curve CSV files for the Chilean Tsunami 2010. 1 unique curve x 3 model variants vulnerability curves and 1 unique curve x 3 model variants fragility curves. Building types: Aggregate (all buildings).", + "data_format": "CSV (csv)", + "access_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "download_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "vulnerability": [ + { + "id": "func_vuln_tsunami_buildings_chl", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Empirical tsunami vulnerability curves for Chile from Chilean Tsunami 2010 post-event survey data. Intensity measure: flow depth (m). Building types: Aggregate (all buildings). 1 unique curve x 3 model variants. M1 (logit), M2 (probit), M3 (cloglog) with epistemic uncertainty." + } + ], + "fragility": [ + { + "id": "func_fragility_tsunami_buildings_chl", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "damage_scale_name": "Simplified", + "damage_states_names": [ + "D1" + ], + "analysis_details": "Empirical tsunami fragility curves for Chile from Chilean Tsunami 2010. Intensity measure: flow depth (m). Building types: Aggregate (all buildings). 1 unique curve x 3 model variants. Damage scale: Simplified (1 states). M1 (logit), M2 (probit), M3 (cloglog) with Bayesian model class selection." + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "rel": "source" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-etris_tsunamivulnerability.json b/_datasets/json/rdls_vln-etris_tsunamivulnerability.json new file mode 100644 index 000000000..bb6d2a862 --- /dev/null +++ b/_datasets/json/rdls_vln-etris_tsunamivulnerability.json @@ -0,0 +1,261 @@ +{ + "datasets": [ + { + "id": "rdls_vln-etris_tsunamivulnerability", + "title": "ETRiS Tsunami Vulnerability, Fragility, and Consequence Data Products", + "description": "Empirical tsunami vulnerability curves, fragility curves, and consequence functions developed by the European Tsunami Risk Service (ETRiS) at University of Naples Federico II. The dataset provides Probabilistic Tsunami Risk Assessment (PTRA) components derived from post-event survey data across 6 historical tsunami events: South Pacific 2009 (Samoa), Chilean 2010, Tohoku 2011 (Japan), Indian Ocean 2004 (Sri Lanka), Sulawesi 2018 (Indonesia), and Lisbon 1755 (Portugal). Contains approximately 166 vulnerability curve entries and 120+ fragility curve entries covering residential buildings (RC, wood, steel, masonry) and industrial facilities (chemical, petrochemical, manufacturing, etc.). Each curve is provided in 3 statistical model variants (logit, probit, cloglog link functions) with Bayesian model class selection and epistemic uncertainty bounds. Building taxonomy follows the GED4ALL standard. Also includes 5 damage scale definitions and 7 consequence function models mapping damage states to economic loss or fatality ratios.", + "risk_data_type": [ + "vulnerability" + ], + "purpose": "Tsunami risk assessment for buildings and industrial infrastructure. The vulnerability and fragility functions relate tsunami intensity (flow depth or run-up height) to expected structural damage ratios, damage state exceedance probabilities, and fatality probabilities for various building typologies and industrial facility types across multiple geographic contexts.", + "project": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + }, + "details": "Vulnerability curves express the conditional probability distribution (mean and standard deviation) of a decision variable (damage ratio or fatality probability) as a function of tsunami intensity. Each CSV file contains 4 columns: intensity measure, 16th percentile, median, and 84th percentile vulnerability. Fragility curves express the probability of exceeding defined damage states, with 7 columns per damage state: intensity, mean +/- 1 sigma fragility, median, logarithmic standard deviation, and epistemic uncertainty. Three link function variants are provided per curve: M1 (logit), M2 (probit), M3 (cloglog), with Bayesian model class selection to rank model performance. Damage scales used include Reese (6 levels), EMS-98 for masonry and RC (6 levels each), Modified MLIT (7 levels), and Paulik (4 levels). Consequence functions map damage states to economic loss ratios or fatality/casualty rates. All curves are empirically derived from post-tsunami field survey data. The Lisbon 1755 curves represent fatality probability rather than structural damage.", + "spatial": { + "scale": "global" + }, + "license": "CC0-1.0", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "ETRiS - European Tsunami Risk Service, University of Naples Federico II", + "url": "https://eurotsunamirisk.org/" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "ETRiS Research Team, University of Naples Federico II", + "url": "https://github.com/eurotsunamirisk" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + } + } + ], + "referenced_by": [ + { + "id": "ref_reese_2011", + "name": "Tsunami vulnerability of buildings and people in South Java", + "author_names": [ + "S. Reese", + "B.A. Bradley", + "J. Bind", + "G. Smart", + "W. Power", + "J. Sturman" + ], + "date_published": "2011", + "doi": "10.1016/j.earscirev.2011.01.009", + "url": "https://doi.org/10.1016/j.earscirev.2011.01.009" + }, + { + "id": "ref_derisi_2017a", + "name": "Bayesian tsunami fragility modelling considering geological uncertainty", + "author_names": [ + "R. De Risi", + "K. Goda", + "T. Yasuda", + "N. Mori" + ], + "date_published": "2017", + "doi": "10.1007/s00477-016-1230-x", + "url": "https://doi.org/10.1007/s00477-016-1230-x" + }, + { + "id": "ref_paulik_2019", + "name": "Tsunami damage to coastal defences and buildings in the March 2011 Japan tsunami", + "author_names": [ + "R. Paulik", + "C. Gusman", + "W. Power" + ], + "date_published": "2019", + "doi": "10.1007/s00024-019-02254-9", + "url": "https://doi.org/10.1007/s00024-019-02254-9" + }, + { + "id": "ref_antoncecchi_2020", + "name": "PROGETTO SPOT - Sismicita potenzialmente innescabile offshore e tsunami", + "author_names": [ + "I. Antoncecchi" + ], + "date_published": "2020", + "doi": "10.5281/zenodo.3732887", + "url": "https://doi.org/10.5281/zenodo.3732887" + }, + { + "id": "ref_goda_2021", + "name": "Multi-hazard earthquake-tsunami loss estimation of Kuroshio Town considering Nankai-Tonankai megathrust rupture scenarios", + "author_names": [ + "K. Goda", + "R. De Risi", + "F. De Luca", + "A. Muhammad", + "T. Yasuda", + "N. Mori" + ], + "date_published": "2021", + "doi": "10.1016/j.ijdrr.2021.102050", + "url": "https://doi.org/10.1016/j.ijdrr.2021.102050" + }, + { + "id": "ref_ged4all", + "name": "Global Exposure Database for Multi-Hazard Risk Analysis", + "author_names": [ + "V. Silva", + "D. Amo-Oduro", + "A. Calderon", + "J. Dabbeek", + "V. Despotaki", + "L. Martins", + "A. Rao", + "M. Simionato", + "D. Vigano" + ], + "date_published": "2018", + "url": "https://www.globalquakemodel.org/gempublications/global-exposure-database-for-multi-hazard-risk-analysis-multi-hazard-exposure-taxonomy" + } + ], + "resources": [ + { + "id": "resource_etris_data_products", + "title": "ETRiS Tsunami Data Products Repository", + "description": "Complete GitHub repository containing Probabilistic Tsunami Risk Assessment (PTRA) data products across 5 folders: (1) Vulnerability_Curves - approximately 166 empirical vulnerability curve entries (55 unique curves x 3 model variants M1/M2/M3) for 6 tsunami events (South Pacific 2009, Chilean 2010, Tohoku 2011, Indian Ocean 2004, Sulawesi 2018, Lisbon 1755), each CSV with 4 columns (intensity, 16th percentile, median, 84th percentile vulnerability), covering residential buildings (RC, wood, steel, masonry at various storey heights), industrial facilities (chemical, petrochemical, manufacturing, cargo handling, energy, food, warehouse/distribution, construction materials with B/I variants), and fatality curves; (2) Fragility_Curves - approximately 120+ empirical fragility curve entries for the same events, each CSV with 7 columns per damage state (flow depth, mean +/- 1 sigma fragility, median, logarithmic standard deviation, epistemic uncertainty), plus Bayesian Model Class Selection subfolder; (3) Consequence_Models - 7 consequence functions mapping damage states to economic loss ratios, fatality rates, or casualty rates (Antoncecchi et al. 2020, Di Pasquale 2005, Asprone et al. 2013, Dolce et al. 2006, Goda et al. 2021); (4) Damage_Scales - 5 damage scale definitions (Reese 6 levels, EMS-98 masonry/RC 6 levels, Modified MLIT 7 levels, Paulik 4 levels); (5) Loss_Curves - in progress. All curve data available in CSV and XLSX formats. Metadata inventory tables with GED4ALL taxonomy strings and geographic coordinates available in the companion metadata repository (https://github.com/eurotsunamirisk/metadata).", + "data_format": "CSV (csv)", + "access_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "download_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "fragility": [ + { + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "damage_scale_name": "EMS-98", + "damage_states_names": [ + "D0 (no damage)", + "D1 (slight)", + "D2 (moderate)", + "D3 (heavy)", + "D4 (very heavy)", + "D5 (destruction)" + ], + "analysis_details": "Empirical tsunami fragility curves derived from post-event survey data across 6 historical events: South Pacific 2009, Chilean 2010, Tohoku 2011, Indian Ocean 2004, Sulawesi 2018, Lisbon 1755. Intensity measure: flow depth (m). Building types include RC (various storey heights), wood, steel, masonry, and industrial facilities. Each curve provided in 3 model variants: M1 (logit), M2 (probit), M3 (cloglog) link functions, with Bayesian model class selection. Damage scales vary by event: Reese (6 levels), EMS-98 masonry/RC (6 levels), Modified MLIT (7 levels), Paulik (4 levels). 7 data columns per damage state: flow depth, mean +/- 1 sigma, median, log standard deviation, epistemic uncertainty. Taxonomy: GED4ALL.", + "id": "func_fragility_tsunami_buildings" + } + ], + "vulnerability": [ + { + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Empirical tsunami vulnerability curves for residential buildings derived from post-event survey data. Events: South Pacific 2009 (Samoa), Chilean 2010, Tohoku 2011 (Japan), Indian Ocean 2004 (Sri Lanka), Sulawesi 2018 (Indonesia). Intensity measure: flow depth (m) or run-up height (m). Building types: RC (all, 1/2/3+ storey), wood (all, 1/2/3+ storey), steel, masonry (brick, unreinforced, confined). Each curve in 3 model variants (logit, probit, cloglog) with epistemic uncertainty. 4 columns per CSV: intensity, 16th percentile, median, 84th percentile. Countries: CHL, IDN, JPN, LKA, WSM. Taxonomy: GED4ALL.", + "id": "func_vuln_tsunami_buildings" + }, + { + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "infrastructure", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Empirical tsunami vulnerability curves for industrial infrastructure derived from Tohoku 2011 (Japan) post-event survey data. Intensity measure: flow depth (m). Industrial categories (each with Building and Infrastructure variants): Chemical, Construction Materials, Cargo Handling, Energy Related, Food, Manufacturing, Warehouse/Distribution, Petrochemical. Each curve in 3 model variants (logit, probit, cloglog) with epistemic uncertainty. Country: JPN. Taxonomy: GED4ALL.", + "id": "func_vuln_tsunami_infrastructure" + }, + { + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "Rh_tsi:m", + "category": "population", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "casualty_ratio_vulnerability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Empirical tsunami fatality vulnerability curve derived from 1755 Lisbon Tsunami historical data. Intensity measure: run-up height (m). Output: probability of fatality (p) per intensity level, where expected fatalities = N * p for population N. No building taxonomy specified. Country: PRT. Each curve in 3 model variants (logit, probit, cloglog) with epistemic uncertainty.", + "id": "func_vuln_tsunami_fatality" + } + ], + "damage_to_loss": [ + { + "approach": "empirical", + "relationship": "discrete", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "inferred", + "impact_metric": "loss_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "damage_scale_name": "EMS-98", + "damage_states_names": [ + "D0 (no damage)", + "D1 (slight)", + "D2 (moderate)", + "D3 (heavy)", + "D4 (very heavy)", + "D5 (destruction)" + ], + "analysis_details": "7 consequence function models mapping damage states to decision variables: economic loss ratios (5 models from Antoncecchi et al. 2020, Di Pasquale 2005, Asprone et al. 2013, Dolce et al. 2006, Goda et al. 2021), victim counts (Antoncecchi et al. 2020), and casualty rates (Antoncecchi et al. 2020). Damage scales: EMS-98, MCS, Modified MLIT. Models provide conditional probability distributions of loss given damage state.", + "id": "func_consequence_models" + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "rel": "source" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-eur_auth_synergfragility.json b/_datasets/json/rdls_vln-eur_auth_synergfragility.json new file mode 100644 index 000000000..44ddc9a9b --- /dev/null +++ b/_datasets/json/rdls_vln-eur_auth_synergfragility.json @@ -0,0 +1,209 @@ +{ + "datasets": [ + { + "id": "rdls_vln-eur_auth_synergfragility", + "title": "SYNER-G Fragility Functions for Buildings, Lifeline Networks and Infrastructures", + "description": "Seismic fragility functions for European buildings, bridges, utility networks (electric power, water, gas), transportation networks (roads, railways), and critical facilities (harbors, hospitals) developed under the SYNER-G project (EU FP7, Grant No. 244061). The project produced fragility curves for all categories of elements at risk using a unified European taxonomy, covering reinforced concrete and masonry buildings (5 damage grades DG1-DG5), bridges (yielding and near collapse states), utility network components (pipelines, substations, pumping stations), road/railway elements (tunnels, embankments, bridge abutments), and critical facilities (waterfront structures, cranes, hospital systems). A Fragility Function Manager tool was developed for storing, visualizing, harmonizing, and comparing fragility functions across different studies. Validated through case studies in Thessaloniki (Greece), Vienna (Austria), and multiple Italian sites using Monte Carlo simulation with 10,000 runs.", + "risk_data_type": [ + "vulnerability" + ], + "version": "1.0", + "purpose": "Systemic seismic vulnerability and risk assessment at urban and regional level, accounting for inter- and intra-system dependencies between buildings, utility networks, transportation networks, and critical facilities. The fragility functions enable probabilistic assessment of physical damage, functionality loss, and socio-economic impacts from earthquakes across multiple interdependent infrastructure systems.", + "project": { + "name": "SYNER-G - Systemic Seismic Vulnerability and Risk Analysis (EU FP7, Grant No. 244061)", + "url": "https://cordis.europa.eu/project/id/244061" + }, + "details": "Fragility functions were derived using analytical methods (nonlinear dynamic analysis, 3D FEM, fault tree analysis), empirical methods (post-earthquake damage data from Duzce, Lefkas, 1970 Thessaloniki), and hybrid/expert judgement approaches. Buildings: RC fragility curves account for shear failure, model uncertainties, and scatter of material properties per Eurocode 8; masonry curves use 3D FEM with biaxial failure criterion considering in-plane and out-of-plane failure. Bridges: new curves for European roadway and railway RC bridges considering bridge length, span count, pier characteristics, and seismic design level. Utility networks: empirical and analytical fragility relations for individual components (buried pipelines, storage tanks, compression stations, pumping stations) with appropriate typology classification, damage scale, and intensity measure per component. Transportation: new curves for tunnels in alluvial soil, road on embankments/trenches, bridge abutments using PGA. Critical facilities: new analytical fragility curves for waterfront/retaining structures considering soil-structure response; hospital system fragility using fault tree analysis of structural, architectural, and non-structural components. The prototype software OOFIMS implements the systemic analysis using Object-Oriented Matlab, integrated into the EQvis platform.", + "spatial": { + "scale": "regional", + "countries": [ + "AUT", + "GRC", + "ITA" + ] + }, + "license": "open", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "Aristotle University of Thessaloniki (AUTH)", + "url": "https://www.auth.gr" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "SYNER-G Consortium (14 partners: AUTH, VCE, BRGM, JRC, NGI, UPAV, UROMA, METU, AMRA, KIT, UPAT, Willis, UILLINOIS, RCUSS)", + "url": "https://cordis.europa.eu/project/id/244061" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "Prof. Kyriazis Pitilakis, Aristotle University of Thessaloniki", + "email": "kpitilak@civil.auth.gr" + } + }, + { + "id": "attribution_funder", + "role": "funder", + "entity": { + "name": "European Commission FP7 Programme (Environment, including Climate Change)", + "url": "https://cordis.europa.eu/project/id/244061" + } + } + ], + "referenced_by": [ + { + "id": "ref_synerg_report4", + "name": "SYNER-G Reference Report 4: Guidelines for deriving seismic fragility functions of elements at risk - Buildings, lifelines, transportation networks and critical facilities", + "author_names": [ + "A. M. Kaynia", + "I. Iervolino", + "F. Taucer", + "U. Hancilar" + ], + "date_published": "2013", + "doi": "10.2788/19605", + "url": "https://publications.jrc.ec.europa.eu/repository/handle/JRC80561" + }, + { + "id": "ref_synerg_report1", + "name": "SYNER-G Reference Report 1: Methodology for systemic seismic vulnerability assessment of buildings, infrastructures, networks and socio-economic impacts", + "author_names": [ + "P. Franchin", + "A. Elnashai", + "F. Taucer", + "U. Hancilar" + ], + "date_published": "2013", + "doi": "10.2788/69238", + "url": "https://publications.jrc.ec.europa.eu/repository/handle/JRC80613" + }, + { + "id": "ref_springer_vol27", + "name": "SYNER-G: Typology Definition and Fragility Functions for Physical Elements at Seismic Risk - Buildings, Lifelines, Transportation Networks and Critical Facilities", + "author_names": [ + "K. Pitilakis", + "H. Crowley", + "A. M. Kaynia" + ], + "date_published": "2014", + "doi": "10.1007/978-94-007-7872-6", + "url": "https://link.springer.com/book/10.1007/978-94-007-7872-6" + }, + { + "id": "ref_springer_vol31", + "name": "SYNER-G: Systemic Seismic Vulnerability and Risk Assessment of Complex Urban, Utility, Lifeline Systems and Critical Facilities - Methodology and Applications", + "author_names": [ + "K. Pitilakis", + "P. Franchin", + "B. Khazai", + "H. Wenzel" + ], + "date_published": "2014", + "doi": "10.1007/978-94-017-8835-9", + "url": "https://link.springer.com/book/10.1007/978-94-017-8835-9" + } + ], + "resources": [ + { + "id": "resource_synerg_openvulnerability", + "title": "SYNER-G Fragility Functions Collection", + "description": "SYNER-G fragility functions available through the OpenVulnerability platform (Collection #7). The collection contains fragility curves for buildings (RC, masonry, DG1-DG5), bridges (yielding/near collapse), utility network components (EPN substations/lines, WSS pumping stations/pipelines, GAS pipelines/stations), transportation elements (tunnels, embankments, bridge abutments), and critical facilities (harbors, hospitals). Original project data documented across seven JRC Reference Reports (DOIs: 10.2788/19605 for fragility guidelines, 10.2788/68751 for taxonomy). The Fragility Function Manager tool is bundled as electronic supplement to Springer Book Vol. 27 (DOI: 10.1007/978-94-007-7872-6). Some project deliverable PDFs (D3.1, D3.2, D3.5, D3.7, D3.12) remain accessible via VCE archive. The original project website (www.syner-g.eu) is offline.", + "data_format": "CSV (csv)", + "access_url": "https://openvulnerability.robertogentile.org/products/collection/7", + "access_modality": "dashboard" + } + ], + "vulnerability": { + "functions": { + "fragility": [ + { + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "damage_scale_name": "SYNER-G (DG1-DG5)", + "damage_states_names": [ + "DG1", + "DG2", + "DG3", + "DG4", + "DG5" + ], + "analysis_details": "Analytical seismic fragility functions for European RC and masonry buildings. RC buildings: fragility curves accounting for shear failure, model uncertainties, and material property scatter, following Eurocode 8 assessment. Masonry buildings: 3D finite element analysis with nonlinear biaxial failure criterion, considering in-plane and out-of-plane failure. Taxonomy: SYNER-G building taxonomy based on construction material (RC, masonry), height, design code level, and structural system. Validated against damage data from Greek earthquakes (1978 Thessaloniki). Intensity measures: PGA (g), Sa(T) (g).", + "id": "func_fragility_buildings" + }, + { + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "infrastructure", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "damage_scale_name": "SYNER-G (Yielding/Ultimate)", + "damage_states_names": [ + "Yielding", + "Near Collapse (Ultimate)" + ], + "analysis_details": "Analytical seismic fragility functions for European roadway and railway RC bridges. Parameters: bridge length, number of spans, pier height and cross-section, number of columns per pier, seismic design level. Regular bridges with continuous deck connected to piers monolithically or through elastomeric bearings. Also includes fragility curves for road/railway tunnels (alluvial, trench), embankments, and bridge abutments based on numerical analyses using PGA. Taxonomy: SYNER-G bridge and transportation taxonomy.", + "id": "func_fragility_transport" + }, + { + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "infrastructure", + "impact_type": "direct", + "impact_modelling": "inferred", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "damage_scale_name": "SYNER-G (component-specific)", + "damage_states_names": [ + "Slight", + "Moderate", + "Extensive", + "Complete" + ], + "analysis_details": "Seismic fragility functions for utility network components: electric power network (generators, substations, overhead/underground lines), water/wastewater system (pumping stations, water sources, distribution nodes, pipelines), and gas network (buried pipelines, storage tanks, compression stations, pumping stations). Mostly empirical relations adapted for European context. Specific components use fault tree analysis (e.g. Re.Mi cabins, GRF Reduction groups in L'Aquila gas network). Also includes harbor components (waterfront/retaining structures, cranes) with new analytical fragility curves considering soil-structure response, and hospital system components using fault tree analysis of structural, architectural, and equipment elements. Intensity measures: PGA (g), PGD (m).", + "id": "func_fragility_utilities" + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://cordis.europa.eu/project/id/244061", + "rel": "source" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-eur_gem_esrm20vulnerability.json b/_datasets/json/rdls_vln-eur_gem_esrm20vulnerability.json new file mode 100644 index 000000000..9081ac0e7 --- /dev/null +++ b/_datasets/json/rdls_vln-eur_gem_esrm20vulnerability.json @@ -0,0 +1,312 @@ +{ + "datasets": [ + { + "id": "rdls_vln-eur_gem_esrm20vulnerability", + "title": "European Building Vulnerability Database - ESRM20 Vulnerability Models v2.1", + "description": "Seismic vulnerability models for European buildings developed for the European Seismic Risk Model 2020 (ESRM20). The dataset contains capacity curves, fragility functions (lognormal parameters for four damage states), and vulnerability functions (economic loss ratios, loss-of-life probabilities, and injury severity rates) for 511 building typologies classified using the GEM Building Taxonomy v2.0. Functions are provided for four seismic intensity measures: PGA, SA(0.3s), SA(0.6s), and SA(1.0s). Developed under the Horizon 2020 SERA project.", + "risk_data_type": [ + "vulnerability" + ], + "version": "2.1", + "purpose": "Seismic risk assessment for European buildings. The vulnerability models relate ground shaking intensity to expected structural damage, economic loss, fatality rates, and injury severity for 73 building typology classes across 1-12 storey heights.", + "project": { + "name": "European Seismic Risk Model 2020 (ESRM20), Horizon 2020 SERA Project", + "url": "https://gitlab.seismo.ethz.ch/efehr/esrm20_vulnerability" + }, + "details": "The vulnerability functions are derived from nonlinear dynamic analysis of single-degree-of-freedom (SDOF) models using GEM's Vulnerability Modeller's Toolkit (VMTK). Capacity curves define the force-displacement relationship for each building typology. Fragility functions express the probability of exceeding each of four damage states (DS1-DS4: slight to complete) as a function of ground motion intensity, parameterised as lognormal distributions (median and dispersion). Vulnerability functions express expected loss ratios (economic) and casualty rates (fatality and four injury severity levels) as continuous functions of intensity.", + "spatial": { + "scale": "regional", + "bbox": [ + -25, + 34, + 45, + 72 + ], + "countries": [ + "ALB", + "AND", + "AUT", + "BEL", + "BGR", + "BIH", + "CHE", + "CYP", + "CZE", + "DEU", + "DNK", + "ESP", + "EST", + "FIN", + "FRA", + "GBR", + "GRC", + "HRV", + "HUN", + "IRL", + "ISL", + "ITA", + "LIE", + "LTU", + "LUX", + "LVA", + "MDA", + "MKD", + "MLT", + "MNE", + "NLD", + "NOR", + "POL", + "PRT", + "ROU", + "SMR", + "SRB", + "SVK", + "SVN", + "SWE", + "TUR", + "UKR" + ] + }, + "license": "CC-BY-4.0", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "ETH Zurich - Swiss Seismological Service (SED)", + "url": "https://www.seismo.ethz.ch" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "X. Romao, N. Pereira, J.M. Castro, H. Crowley, V. Silva, L. Martins, F. De Maio", + "url": "https://doi.org/10.5281/zenodo.4062410" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "EFEHR Risk Group, ETH Zurich", + "email": "efehr.risk@sed.ethz.ch" + } + } + ], + "referenced_by": [ + { + "id": "ref_zenodo", + "name": "European Building Vulnerability Data Repository (v2.1)", + "author_names": [ + "X. Romao", + "N. Pereira", + "J.M. Castro", + "H. Crowley", + "V. Silva", + "L. Martins", + "F. De Maio" + ], + "date_published": "2021-11-02", + "doi": "10.5281/zenodo.4062410", + "url": "https://doi.org/10.5281/zenodo.4062410" + }, + { + "id": "ref_vmtk", + "name": "Vulnerability modellers toolkit, an open-source platform for vulnerability analysis", + "author_names": [ + "L. Martins", + "V. Silva", + "H. Crowley" + ], + "date_published": "2021", + "doi": "10.1007/s10518-021-01187-w", + "url": "https://doi.org/10.1007/s10518-021-01187-w" + }, + { + "id": "ref_capacity", + "name": "Development and assessment of damage-to-loss models for moment-frame reinforced concrete buildings", + "author_names": [ + "L. Martins", + "V. Silva" + ], + "date_published": "2020", + "doi": "10.1007/s10518-020-00885-1", + "url": "https://doi.org/10.1007/s10518-020-00885-1" + } + ], + "resources": [ + { + "id": "resource_esrm20_vulnerability", + "title": "ESRM20 Vulnerability Models Repository", + "description": "Complete repository containing seismic vulnerability models for 511 European building typologies (73 structural classes, heights H1-H12). Includes: (1) Capacity curves - 511 CSV files of spectral displacement vs acceleration per typology; (2) Fragility functions - lognormal parameters (median and dispersion) for four damage states (DS1-DS4) across four intensity measures (PGA, SA 0.3s, SA 0.6s, SA 1.0s) in Excel format; (3) Vulnerability functions - mean damage ratio (economic), loss-of-life probability, and injury probability (four severity levels) as continuous functions of intensity in Excel format; (4) Damage-to-loss models - fatality and injury models mapping damage states to casualty probabilities per typology in Excel format; (5) European Building Vulnerability Database - literature review of 831 published vulnerability studies in Excel format; (6) Processing scripts - Python scripts and GEM Vulnerability Modeller's Toolkit (VMTK) for reproducing the analysis. Data formats: CSV (.csv), Excel (.xlsx), Python (.py).", + "data_format": "Excel (xlsx)", + "access_url": "https://gitlab.seismo.ethz.ch/efehr/esrm20_vulnerability", + "download_url": "https://doi.org/10.5281/zenodo.4062410", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "fragility": [ + { + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "damage_scale_name": "EMS-98", + "damage_states_names": [ + "DS1 (slight)", + "DS2 (moderate)", + "DS3 (extensive)", + "DS4 (complete)" + ], + "analysis_details": "Lognormal fragility functions for 511 European building typologies across 73 structural classes and heights H1-H12. Derived from nonlinear dynamic analysis of SDOF models using censored regression (VMTK). Parameters: median intensity per damage state and common dispersion (beta). Available for multiple intensity measures: PGA (g), SA at 0.3s (g), SA at 0.6s (g), SA at 1.0s (g). Taxonomy: GEM Building Taxonomy v2.0.", + "id": "func_fragility_seismic" + } + ], + "vulnerability": [ + { + "approach": "analytical", + "relationship": "math_bespoke", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "mean_damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "analysis_details": "Mean damage ratio (fraction of total replacement cost) as a continuous function of seismic intensity for 511 building typologies. Computed by convolving fragility functions with damage-to-loss ratios per damage state. Available for multiple intensity measures: PGA (g), SA at 0.3s (g), SA at 0.6s (g), SA at 1.0s (g). Taxonomy: GEM Building Taxonomy v2.0.", + "id": "func_vulnerability_economic" + }, + { + "approach": "analytical", + "relationship": "math_bespoke", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "casualty_ratio_vulnerability", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "analysis_details": "Probability of fatality per building occupant as a function of seismic intensity. Accounts for building collapse probability, entrapment probability (day/night), and lethal entrapment probability per building typology. Available for multiple intensity measures: PGA (g), SA at 0.3s (g), SA at 0.6s (g), SA at 1.0s (g). Taxonomy: GEM Building Taxonomy v2.0.", + "id": "func_vulnerability_fatality" + }, + { + "approach": "analytical", + "relationship": "math_bespoke", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "casualty_ratio_vulnerability", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "analysis_details": "Probability of injury per building occupant across four severity levels: (1) slight injuries - no hospitalisation, (2) moderate injuries - hospitalisation required, (3) severe/life-threatening injuries, (4) fatal injuries. Computed from injury damage models per damage state and collapse probability. Available for multiple intensity measures: PGA (g), SA at 0.3s (g), SA at 0.6s (g), SA at 1.0s (g). Taxonomy: GEM Building Taxonomy v2.0.", + "id": "func_vulnerability_injury" + }, + { + "approach": "analytical", + "relationship": "math_bespoke", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "Sd(T1):m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "damage_ratio", + "quantity_kind": "length", + "taxonomy": "Custom", + "analysis_details": "Force-displacement capacity curves (spectral acceleration Sa in g vs spectral displacement Sd in m) for 511 building typologies. Used as input to the VMTK nonlinear dynamic analysis for developing fragility and vulnerability functions. Sources: Martins and Silva (2020) for CR_LDUAL/CR_LWAL/MCF/MR/MUR/S/W; SERA project for CR_LFM/CR_LFINF. Taxonomy: GEM Building Taxonomy v2.0.", + "id": "func_capacity_curves" + } + ], + "damage_to_loss": [ + { + "approach": "empirical", + "relationship": "discrete", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "inferred", + "impact_metric": "casualty_ratio_vulnerability", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "damage_scale_name": "EMS-98", + "damage_states_names": [ + "DS1 (slight)", + "DS2 (moderate)", + "DS3 (extensive)", + "DS4 (complete)" + ], + "analysis_details": "Fatality damage-to-loss model mapping damage states to casualty probabilities per building typology. Includes collapse factors, entrapment probabilities (day/night), and lethal entrapment probability. Compatible with fragility functions available for PGA (g), SA at 0.3s (g), SA at 0.6s (g), SA at 1.0s (g). Taxonomy: GEM Building Taxonomy v2.0.", + "id": "func_damage_to_loss_fatality" + }, + { + "approach": "empirical", + "relationship": "discrete", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "inferred", + "impact_metric": "casualty_ratio_vulnerability", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "damage_scale_name": "EMS-98", + "damage_states_names": [ + "DS1 (slight)", + "DS2 (moderate)", + "DS3 (extensive)", + "DS4 (complete)" + ], + "analysis_details": "Injury damage-to-loss model mapping damage states to injury rates per building typology across four severity levels. Compatible with fragility functions available for PGA (g), SA at 0.3s (g), SA at 0.6s (g), SA at 1.0s (g). Taxonomy: GEM Building Taxonomy v2.0.", + "id": "func_damage_to_loss_injury" + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://gitlab.seismo.ethz.ch/efehr/esrm20_vulnerability", + "rel": "source" + }, + { + "href": "https://doi.org/10.5281/zenodo.4062410", + "rel": "cite-as" + }, + { + "href": "https://vulncurves.eu-risk.eucentre.it", + "rel": "related" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-gem_globalvulnerabilitymodel.json b/_datasets/json/rdls_vln-gem_globalvulnerabilitymodel.json new file mode 100644 index 000000000..53ff304c5 --- /dev/null +++ b/_datasets/json/rdls_vln-gem_globalvulnerabilitymodel.json @@ -0,0 +1,215 @@ +{ + "datasets": [ + { + "id": "rdls_vln-gem_globalvulnerabilitymodel", + "title": "GEM Global Vulnerability Model v2025.0.0", + "description": "Global seismic vulnerability functions for 215 countries and territories developed by GEM Foundation for use in the Global Risk Model. The dataset provides four types of vulnerability functions per country: (1) structural damage ratio, (2) non-structural damage ratio, (3) contents damage ratio, and (4) fatality ratio. Functions are defined for building typologies classified using GEM Building Taxonomy v3.2, with intensity measures selected by building height: PGA for low-rise (H1-H2), SA(0.3s) for mid-rise (H3-H5), and SA(1.0s) for high-rise (H8+). Each function is a 50-point discretisation of a Beta distribution relating ground-motion intensity (0.05-10 g) to mean loss ratio and coefficient of variation. Country-specific taxonomy mappings link exposure model building classes to vulnerability model classes. Developed using the OpenQuake Vulnerability Modeller's Toolkit (OQ-VMTK) from representative multi-degree-of-freedom stick models.", + "risk_data_type": [ + "vulnerability" + ], + "version": "2025.0.0", + "purpose": "Sub-national, national, and regional seismic risk assessment. The vulnerability functions quantify average annual loss ratios (AALR) for structural components, non-structural components, building contents, and occupant fatalities across 215 countries.", + "project": { + "name": "GEM Global Earthquake Risk Model", + "url": "https://www.globalquakemodel.org/gem-maps/global-earthquake-risk-map" + }, + "details": "Vulnerability functions are derived from nonlinear time-history analysis of representative multi-degree-of-freedom (MDOF) stick models for each building class using the OQ-VMTK. Models capture material characteristics, structural system type, building height, code level, and ductility. The 215 country-specific models are consistent with the master branch of the Global Exposure Model (Yepes-Estrada et al., 2023). Each country contains 12-556 vulnerability functions per loss type, reflecting local building stock diversity. European countries have the most detailed models (556 functions). All functions use Beta distribution (BT) for loss ratio uncertainty.", + "spatial": { + "scale": "global", + "bbox": [ + -180, + -90, + 180, + 90 + ] + }, + "license": "CC-BY-NC-SA-4.0", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "GEM Foundation (Global Earthquake Model)", + "url": "https://www.globalquakemodel.org" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "A.M.B. Nafeh, K. Aljawhari, V. Silva", + "url": "https://github.com/gem/global_vulnerability_model" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "GEM Foundation", + "email": "product@globalquakemodel.org" + } + } + ], + "referenced_by": [ + { + "id": "ref_gem_repo", + "name": "The 2025 Global Vulnerability Model of the GEM Foundation", + "author_names": [ + "A.M.B. Nafeh", + "K. Aljawhari", + "V. Silva" + ], + "date_published": "2025", + "doi": "10.5281/zenodo.8391742", + "url": "https://doi.org/10.5281/zenodo.8391742" + }, + { + "id": "ref_structural", + "name": "An Improved Global Vulnerability Model for Seismic Risk Assessment: Part 1 – Structural Vulnerability", + "author_names": [ + "K. Aljawhari", + "A.M.B. Nafeh", + "V. Silva" + ], + "date_published": "2025", + "url": "https://github.com/gem/global_vulnerability_model" + }, + { + "id": "ref_nonstructural", + "name": "An Improved Global Vulnerability Model for Seismic Risk Assessment: Part 2 – Non-Structural and Contents Vulnerability", + "author_names": [ + "A.M.B. Nafeh", + "K. Aljawhari", + "V. Silva" + ], + "date_published": "2025", + "url": "https://github.com/gem/global_vulnerability_model" + }, + { + "id": "ref_vmtk", + "name": "OQ-VMTK: An Open-Source Toolkit for Earthquake Vulnerability Modelling Applications", + "author_names": [ + "A.M.B. Nafeh", + "K. Aljawhari", + "A. Ettorre", + "V. Silva", + "H. Crowley" + ], + "date_published": "2025", + "url": "https://github.com/GEMScienceTools/oq-vmtk" + }, + { + "id": "ref_exposure", + "name": "Global building exposure model for earthquake risk assessment", + "author_names": [ + "C. Yepes-Estrada", + "A. Calderon", + "C. Costa" + ], + "date_published": "2023", + "doi": "10.1177/87552930231194048", + "url": "https://doi.org/10.1177/87552930231194048" + } + ], + "resources": [ + { + "id": "resource_gvm_repository", + "title": "GEM Global Vulnerability Model Repository", + "description": "Complete repository containing seismic vulnerability models for 215 countries across 12 world regions. Per country: (1) taxonomy_mapping CSV — maps exposure building classes to vulnerability model classes using GEM Building Taxonomy v3.2; (2) vulnerability_structural.xml — structural damage ratios in OpenQuake NRML v0.5 format; (3) vulnerability_nonstructural.xml — non-structural damage ratios; (4) vulnerability_contents.xml — contents damage ratios; (5) vulnerability_fatalities.xml — occupant fatality ratios. Total: 860 XML files + 215 CSV files (241 MB). Data formats: XML (.xml, OpenQuake NRML v0.5), CSV (.csv).", + "data_format": "XML (xml)", + "access_url": "https://github.com/gem/global_vulnerability_model", + "download_url": "https://github.com/gem/global_vulnerability_model/releases", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "vulnerability": [ + { + "id": "func_vuln_structural", + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Structural vulnerability functions expressing mean damage ratio (fraction of total replacement cost for structural components) as a function of seismic intensity. Derived from nonlinear time-history analysis of MDOF stick models using OQ-VMTK. 50-point Beta distribution (BT) discretisation over 0.05-10 g intensity range. Intensity measure varies by building height: PGA for low-rise (H1-H2), SA(0.3s) for mid-rise (H3-H5), SA(1.0s) for high-rise (H8+). 12-556 functions per country depending on local building stock. Uses GEM Building Taxonomy v3.2." + }, + { + "id": "func_vuln_nonstructural", + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Non-structural vulnerability functions expressing mean damage ratio (fraction of replacement cost for non-structural components sensitive to drift and acceleration) as a function of seismic intensity. Same analytical methodology and intensity measure assignment as structural functions. Uses GEM Building Taxonomy v3.2." + }, + { + "id": "func_vuln_contents", + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Contents vulnerability functions expressing mean damage ratio (fraction of total building contents value) as a function of seismic intensity. Same analytical methodology and intensity measure assignment as structural functions. Uses GEM Building Taxonomy v3.2." + }, + { + "id": "func_vuln_fatalities", + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "casualty_ratio_vulnerability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Fatality vulnerability functions expressing probability of death per building occupant as a function of seismic intensity. Derived from collapse probability, entrapment likelihood, and lethal entrapment rates per building typology. Same intensity measure assignment as structural functions. Uses GEM Building Taxonomy v3.2." + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://github.com/gem/global_vulnerability_model", + "rel": "source" + }, + { + "href": "https://doi.org/10.5281/zenodo.8391742", + "rel": "cite-as" + }, + { + "href": "https://docs.openquake.org/vulnerability/", + "rel": "related" + } + ] + } + ] +} \ No newline at end of file diff --git a/_datasets/json/rdls_vln-idn_etris_tsunamivulnerability.json b/_datasets/json/rdls_vln-idn_etris_tsunamivulnerability.json new file mode 100644 index 000000000..89e24f799 --- /dev/null +++ b/_datasets/json/rdls_vln-idn_etris_tsunamivulnerability.json @@ -0,0 +1,142 @@ +{ + "datasets": [ + { + "id": "rdls_vln-idn_etris_tsunamivulnerability", + "title": "ETRiS Tsunami Vulnerability and Fragility Functions - Indonesia (2018 Sulawesi Tsunami)", + "description": "Empirical tsunami vulnerability and fragility curves for Indonesia derived from the 2018 Sulawesi Tsunami post-event survey data. Contains 4 unique vulnerability curves and 4 unique fragility curves for non-engineered building types: light timber, masonry unknown (1 storey), unreinforced clay brick masonry (1 storey and 2 storey). Each in 3 model variants (logit, probit, cloglog). Developed by the European Tsunami Risk Service (ETRiS).", + "risk_data_type": [ + "vulnerability" + ], + "purpose": "Tsunami risk assessment for non-engineered buildings in Indonesia. Functions calibrated for low-rise non-engineered construction typical of coastal Indonesian communities.", + "project": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + }, + "details": "Building types: Non-engineered light timber, Masonry unknown 1-storey, Non-engineered unreinforced clay brick masonry 1-storey, Non-engineered unreinforced clay brick masonry 2-storey. Fragility: 2 damage states (D2, D3). Vulnerability: damage ratio with epistemic uncertainty bounds. Three link function variants: M1 (logit), M2 (probit), M3 (cloglog).", + "spatial": { + "scale": "sub-national", + "countries": [ + "IDN" + ], + "gazetteer_entries": [ + {"id": "gaz_sulawesi_tengah", "scheme": "GEONAMES", "description": "Sulawesi Tengah (Central Sulawesi)", "uri": "geonames.org/1626231/sulawesi-tengah.html"}, + {"id": "gaz_palu", "scheme": "GEONAMES", "description": "Palu", "uri": "geonames.org/1633034/palu.html"}, + {"id": "gaz_donggala", "scheme": "GEONAMES", "description": "Donggala Regency", "uri": "geonames.org/7558728/donggala.html"} + ] + }, + "license": "CC0-1.0", + "version": "1.0.0", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "ETRiS - European Tsunami Risk Service, University of Naples Federico II", + "url": "https://eurotsunamirisk.org/" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "ETRiS Research Team, University of Naples Federico II", + "url": "https://github.com/eurotsunamirisk" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + } + } + ], + "referenced_by": [ + { + "id": "ref_ged4all", + "name": "Global Exposure Database for Multi-Hazard Risk Analysis", + "author_names": [ + "V. Silva", + "D. Amo-Oduro", + "A. Calderon", + "J. Dabbeek", + "V. Despotaki", + "L. Martins", + "A. Rao", + "M. Simionato", + "D. Vigano" + ], + "date_published": "2018", + "url": "https://www.globalquakemodel.org/gempublications/global-exposure-database-for-multi-hazard-risk-analysis-multi-hazard-exposure-taxonomy" + } + ], + "resources": [ + { + "id": "resource_etris_idn", + "title": "ETRiS Data Products - Sulawesi Tsunami 2018", + "description": "Vulnerability and fragility curve CSV files for the Sulawesi Tsunami 2018. 4 unique curves x 3 model variants vulnerability curves and 4 unique curves x 3 model variants fragility curves. Building types: Non-engineered timber, masonry (unreinforced clay brick 1/2 storey).", + "data_format": "CSV (csv)", + "access_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "download_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "vulnerability": [ + { + "id": "func_vuln_tsunami_buildings_idn", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Empirical tsunami vulnerability curves for Indonesia from Sulawesi Tsunami 2018 post-event survey data. Intensity measure: flow depth (m). Building types: Non-engineered timber, masonry (unreinforced clay brick 1/2 storey). 4 unique curves x 3 model variants. M1 (logit), M2 (probit), M3 (cloglog) with epistemic uncertainty." + } + ], + "fragility": [ + { + "id": "func_fragility_tsunami_buildings_idn", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "damage_scale_name": "Simplified", + "damage_states_names": [ + "D2", + "D3" + ], + "analysis_details": "Empirical tsunami fragility curves for Indonesia from Sulawesi Tsunami 2018. Intensity measure: flow depth (m). Building types: Non-engineered timber, masonry (unreinforced clay brick 1/2 storey). 4 unique curves x 3 model variants. Damage scale: Simplified (2 states). M1 (logit), M2 (probit), M3 (cloglog) with Bayesian model class selection." + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "rel": "source" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-ita_reluis_rintcfragility.json b/_datasets/json/rdls_vln-ita_reluis_rintcfragility.json new file mode 100644 index 000000000..9b307fc0d --- /dev/null +++ b/_datasets/json/rdls_vln-ita_reluis_rintcfragility.json @@ -0,0 +1,141 @@ +{ + "datasets": [ + { + "id": "rdls_vln-ita_reluis_rintcfragility", + "title": "RINTC Database of Fragility Functions v1.0 (beta) - Italian Seismic Building and Bridge Fragility", + "description": "Lognormal seismic fragility functions for Italian buildings and bridges, developed under the RINTC project (Implicit Seismic Risk of Code-Conforming Structures, 2014-2022). The database contains 647 fragility function entries covering five construction material types (unreinforced masonry, reinforced concrete, base-isolated RC, precast concrete, steel) and bridges. Functions are provided for both code-conforming structures (designed per NTC2008/NTC2018) and existing/retrofitted structures (designed per previous Italian codes from pre-1920 to 1990s). Each function is parameterised as a lognormal distribution (median eta and dispersion beta) for two performance levels: Usability Preventing Damage (UPD) and Global Collapse (GC) or Severe Damage (SD for bridges). Intensity measures are spectral accelerations Sa(T) at periods from 0.15s to 3.0s. Over 300 structures were analysed at five representative Italian sites (L'Aquila, Catania, Naples, Rome, Milan) with varying seismic hazard levels using nonlinear dynamic analysis of 3D numerical models.", + "risk_data_type": [ + "vulnerability" + ], + "version": "1.0-beta", + "purpose": "Quantification of the implicit seismic risk (annual failure rate) of Italian structures designed according to current and past Italian building codes, enabling comparison of seismic performance across design eras and structural types.", + "project": { + "name": "RINTC - Implicit Seismic Risk of Code-Conforming Structures (ReLUIS-DPC 2014-2022)", + "url": "https://www.reluis.it/en/rintc-dff/" + }, + "details": "Fragility functions were derived from nonlinear dynamic analyses of three-dimensional numerical models. The database is organised in 11 data sheets: code-conforming and evolution (existing/retrofitted) sheets for each of URM (90+50 entries), RC (84+144), BI (12+24), PRC (51+26), Steel (96+40), plus Bridges (30). Structural metadata includes construction material, design code era, design PGA, site, soil class, number of stories, regularity, and structural details specific to each type. Curve fitting methods include Maximum Likelihood (ML), Normal Probability Plot (NPP), Least Squares Fitting (LSF), and Direct assignment (D). URM entries include 13 masonry subtypes; RC entries distinguish moment-resisting frames from shear walls with optional soil-structure interaction; BI entries specify isolation system type (FPS, HDRB, HDRB+S); PRC entries specify beam-column connection and cladding type; Steel entries include plan dimensions and bracing configuration; Bridge entries specify structural typology, pier characteristics, and height.", + "spatial": { + "scale": "national", + "countries": [ + "ITA" + ] + }, + "license": "CC-BY-ND-4.0", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "ReLUIS - Rete dei Laboratori Universitari di Ingegneria Sismica", + "url": "https://www.reluis.it" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "ReLUIS Working Group WP3 (2014-2022)", + "url": "https://www.reluis.it/en/rintc-dff/" + } + }, + { + "id": "attribution_editor", + "role": "contact_point", + "entity": { + "name": "Eugenio Chioccarelli (Univ. Mediterranea di Reggio Calabria), Iunio Iervolino (Univ. di Napoli Federico II)", + "url": "https://www.reluis.it/en/rintc-dff/" + } + }, + { + "id": "attribution_funder", + "role": "funder", + "entity": { + "name": "Italian Department of Civil Protection (DPC)", + "url": "https://www.protezionecivile.gov.it" + } + } + ], + "referenced_by": [ + { + "id": "ref_rintc_database", + "name": "ReLUIS-DPC RINTC Database of fragility functions, version 1.0 (beta)", + "author_names": [ + "E. Chioccarelli", + "I. Iervolino" + ], + "date_published": "2024-10", + "doi": "10.57580/ReLUIS.WP3DB001", + "url": "https://www.reluis.it/en/rintc-dff/" + } + ], + "resources": [ + { + "id": "resource_rintc_database", + "title": "RINTC Database of Fragility Functions (Excel)", + "description": "Single Excel workbook containing 647 lognormal fragility function entries across 11 data sheets, plus About and Format documentation sheets. Data sheets are organised by construction material (URM, RC, BI, PRC, Steel, Bridges) and design category (code-conforming vs evolution/existing). Each entry provides: structural metadata (material, masonry type, design code/era, design PGA, site, soil class, stories, regularity, structural details), analysis metadata (performance level, curve fitting method, intensity measure), fragility parameters (eta median in g, beta dispersion), and publication references with hyperlinks. Intensity measures: Sa(0.15s) to Sa(3.0s). Performance levels: UPD (Usability Preventing Damage), GC (Global Collapse), SD (Severe Damage for bridges).", + "data_format": "Excel (xlsx)", + "access_url": "https://www.reluis.it/en/rintc-dff/", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "fragility": [ + { + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "Sa(T):g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "damage_scale_name": "RINTC (UPD/GC)", + "damage_states_names": [ + "UPD (Usability Preventing Damage)", + "GC (Global Collapse)" + ], + "analysis_details": "Lognormal seismic fragility functions for Italian buildings (URM, RC, BI, PRC, Steel) covering 617 entries. Derived from nonlinear dynamic analysis of 3D numerical models at five Italian sites (L'Aquila, Catania, Naples, Rome, Milan). Two performance levels: UPD and GC. Spectral acceleration periods vary by structure type: Sa(0.15s) for URM, Sa(0.50s)-Sa(1.0s) for RC and Steel, Sa(0.50s)-Sa(3.0s) for PRC, Sa(0.50s)-Sa(2.0s) for BI. Both code-conforming (NTC2008/NTC2018) and existing/retrofitted structures (pre-1920 to 1990s). Taxonomy: custom Italian building classification per ReLUIS-DPC conventions.", + "id": "func_fragility_buildings" + }, + { + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "Sa(T):g", + "category": "infrastructure", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "damage_scale_name": "RINTC (UPD/SD)", + "damage_states_names": [ + "UPD (Usability Preventing Damage)", + "SD (Severe Damage)" + ], + "analysis_details": "Lognormal seismic fragility functions for 30 Italian bridge configurations. Structural typologies: tall viaducts, shallow viaducts, integral abutment overpasses, traditional overpasses, overpasses with friction pendulum sliders, and overpasses with high-damping rubber bearings. Spectral acceleration periods: Sa(0.50s) to Sa(3.0s). Two performance levels: UPD and SD. Sites: L'Aquila, Milan, Naples. Designed per NTC2018 and EC8-Part 2 (draft). Taxonomy: custom bridge classification per RINTC conventions.", + "id": "func_fragility_bridges" + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://www.reluis.it/en/rintc-dff/", + "rel": "source" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-itc_riskchangesvulnerability.json b/_datasets/json/rdls_vln-itc_riskchangesvulnerability.json new file mode 100644 index 000000000..5ea2a6c0b --- /dev/null +++ b/_datasets/json/rdls_vln-itc_riskchangesvulnerability.json @@ -0,0 +1,111 @@ +{ + "datasets": [ + { + "id": "rdls_vln-itc_riskchangesvulnerability", + "title": "RiskChanges Vulnerability Functions - Flood and Tropical Cyclone", + "description": "Discrete vulnerability functions for buildings exposed to flood and tropical cyclone hazards, developed as part of the RiskChanges Spatial Decision Support System (SDSS). The dataset provides mean damage degree (MDD) curves on a 0-1 scale for 7 building types under flood hazard (water depth, m) and 6 building types under tropical cyclone hazard (wind speed, m/s). Building types include residential, commercial, industrial, church, school, hospital, and governmental buildings. The vulnerability curves are generic and transferable, designed to be applied across different geographic contexts within the RiskChanges platform. They have been used in multiple case studies including Nocera (Italy), Bangladesh, and Dominica (Caribbean). RiskChanges was developed under the CHANGES Initial Training Network (EU FP7, Grant No. 263953) coordinated by ITC, University of Twente.", + "risk_data_type": [ + "vulnerability" + ], + "version": "1.0", + "purpose": "Multi-hazard risk assessment within the RiskChanges SDSS platform. The vulnerability functions relate hazard intensity (water depth for flood, wind speed for tropical cyclone) to expected physical damage ratio for common building types, supporting loss estimation and risk reduction planning.", + "project": { + "name": "CHANGES - Changing Hydro-meteorological Risks (EU FP7, Grant No. 263953)", + "url": "https://riskchanges.org" + }, + "details": "Physical vulnerability is measured as mean damage degree (MDD) on a scale from 0 (no damage) to 1 (complete destruction), defined per building type and hazard type. The curves are provided as discrete intensity-damage pairs. Flood curves cover water depths from 0 to 10 m across 7 building types with varying resilience profiles (residential buildings reach total damage at 2 m depth, while hospitals and schools remain below total damage up to 10 m). Tropical cyclone curves cover wind speeds from 0 to 120 m/s across 6 building types. The platform supports a shared vulnerability database where public curves can be reused across projects and geographic contexts.", + "spatial": { + "scale": "global" + }, + "license": "open", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "ITC, Faculty of Geo-Information Science and Earth Observation, University of Twente", + "url": "https://www.itc.nl" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "C.J. van Westen, W.H. Bakker, V. Andrejchenko, K. Zhang, J. Berlin, I. Cristal, R. Olyazadeh", + "url": "https://github.com/RiskChanges" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "Dr C.J. van Westen, University of Twente", + "email": "c.j.vanwesten@utwente.nl" + } + } + ], + "referenced_by": [ + { + "id": "ref_riskchanges_docs", + "name": "RiskChanges SDSS Documentation", + "url": "https://sdss-documentation.readthedocs.io/en/latest/" + } + ], + "resources": [ + { + "id": "resource_vulnerability_functions", + "title": "RiskChanges Vulnerability Functions (Excel)", + "description": "Single Excel workbook containing discrete vulnerability curves for two hazard types. Sheet 1 (Flood_vulnerability_curve): 84 data points for 7 building types - residential (9 pts), commercial (9), industrial (9), church (16), school (13), hospital (14), governmental (14) - with water depth intensity from 0 to 10 m. Sheet 2 (TC_vulnerability_curve): 129 data points for 6 building types - residential and church (25 pts), commercial (26), industrial (15), school (14), hospital (26), governmental (23) - with wind speed intensity from 0 to 120 m/s. Columns: intensity, mdd (mean damage degree 0-1), Hazard_type (FL/TC), intensity_unit (m or m/s), name (building type).", + "data_format": "Excel (xlsx)", + "access_url": "https://github.com/RiskChanges/RiskChangesDesktop/blob/main/sampleData/Data_for_RiskChange_SDSS/Vulnerability_function.xlsx", + "download_url": "https://raw.githubusercontent.com/RiskChanges/RiskChangesDesktop/main/sampleData/Data_for_RiskChange_SDSS/Vulnerability_function.xlsx", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "vulnerability": [ + { + "approach": "empirical", + "relationship": "discrete", + "hazard_primary": "flood", + "hazard_process_primary": "fluvial_flood", + "hazard_analysis_type": "deterministic", + "intensity_measure": "wd:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "inferred", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "analysis_details": "Flood vulnerability curves for 7 building types expressing mean damage degree (0-1) as a function of water depth (0-10 m). Building types: residential, commercial, industrial, church, school, hospital, and governmental buildings. Residential buildings show highest vulnerability (MDD=1 at 2 m depth), while schools, hospitals, and governmental buildings are most resilient (MDD<1 up to 10 m). Taxonomy: custom descriptive building labels (not from a standard classification system).", + "id": "func_vuln_flood" + }, + { + "approach": "empirical", + "relationship": "discrete", + "hazard_primary": "strong_wind", + "hazard_process_primary": "tropical_cyclone", + "hazard_analysis_type": "deterministic", + "intensity_measure": "PGWS:m/s", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "inferred", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "Custom", + "analysis_details": "Tropical cyclone vulnerability curves for 6 building types expressing mean damage degree (0-1) as a function of wind speed (0-120 m/s). Building types: residential and church (combined), commercial, industrial, school, hospital, and governmental buildings. Damage onset varies by type, with all reaching MDD=1 at high wind speeds. Taxonomy: custom descriptive building labels (not from a standard classification system).", + "id": "func_vuln_tropical_cyclone" + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-jpn_etris_tsunamivulnerability.json b/_datasets/json/rdls_vln-jpn_etris_tsunamivulnerability.json new file mode 100644 index 000000000..5bcd2a6ab --- /dev/null +++ b/_datasets/json/rdls_vln-jpn_etris_tsunamivulnerability.json @@ -0,0 +1,224 @@ +{ + "datasets": [ + { + "id": "rdls_vln-jpn_etris_tsunamivulnerability", + "title": "ETRiS Tsunami Vulnerability and Fragility Functions - Japan (2011 Tohoku Tsunami)", + "description": "Empirical tsunami vulnerability and fragility curves for Japan derived from the 2011 Tohoku Tsunami post-event survey data. Contains 25 unique vulnerability curves and 25 unique fragility curves covering residential buildings (RC at 1/2/3+ storeys, Wood at 1/2/3+ storeys, Steel, plus aggregates) and 8 industrial facility types (Chemical, Petrochemical, Manufacturing, Cargo Handling, Energy, Food, Warehouse/Distribution, Construction Materials, each with Building and Infrastructure variants). Each curve in 3 model variants (logit, probit, cloglog). Developed by the European Tsunami Risk Service (ETRiS).", + "risk_data_type": [ + "vulnerability" + ], + "purpose": "Tsunami risk assessment for residential buildings and industrial infrastructure in Japan. The functions relate tsunami flow depth to structural damage ratios and damage state exceedance probabilities for detailed building typologies.", + "project": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + }, + "details": "Residential: RC (all, 1/2/3+ storey), Wood (all, 1/2/3+ storey), Steel. Industrial: Chemical, Petrochemical, Manufacturing, Cargo Handling, Energy Related, Food, Warehouse/Distribution, Construction Materials (each with Building [B] and Infrastructure [I] variants). Residential fragility uses Modified MLIT scale (D1-D6). Industrial fragility uses 3 damage states (D1-D3). Bayesian Model Class Selection files provided.", + "spatial": { + "scale": "sub-national", + "countries": [ + "JPN" + ], + "gazetteer_entries": [ + {"id": "gaz_miyagi", "scheme": "GEONAMES", "description": "Miyagi Prefecture", "uri": "geonames.org/2111888/miyagi-ken.html"}, + {"id": "gaz_iwate", "scheme": "GEONAMES", "description": "Iwate Prefecture", "uri": "geonames.org/2112518/iwate-ken.html"}, + {"id": "gaz_fukushima", "scheme": "GEONAMES", "description": "Fukushima Prefecture", "uri": "geonames.org/2112922/fukushima-ken.html"} + ] + }, + "license": "CC0-1.0", + "version": "1.0.0", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "ETRiS - European Tsunami Risk Service, University of Naples Federico II", + "url": "https://eurotsunamirisk.org/" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "ETRiS Research Team, University of Naples Federico II", + "url": "https://github.com/eurotsunamirisk" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + } + } + ], + "referenced_by": [ + { + "id": "ref_derisi_2017a", + "name": "Bayesian tsunami fragility modelling considering geological uncertainty", + "author_names": [ + "R. De Risi", + "K. Goda", + "T. Yasuda", + "N. Mori" + ], + "date_published": "2017", + "doi": "10.1007/s00477-016-1230-x", + "url": "https://doi.org/10.1007/s00477-016-1230-x" + }, + { + "id": "ref_paulik_2019", + "name": "Tsunami damage to coastal defences and buildings in the March 2011 Japan tsunami", + "author_names": [ + "R. Paulik", + "C. Gusman", + "W. Power" + ], + "date_published": "2019", + "doi": "10.1007/s00024-019-02254-9", + "url": "https://doi.org/10.1007/s00024-019-02254-9" + }, + { + "id": "ref_goda_2021", + "name": "Multi-hazard earthquake-tsunami loss estimation of Kuroshio Town considering Nankai-Tonankai megathrust rupture scenarios", + "author_names": [ + "K. Goda", + "R. De Risi", + "F. De Luca", + "A. Muhammad", + "T. Yasuda", + "N. Mori" + ], + "date_published": "2021", + "doi": "10.1016/j.ijdrr.2021.102050", + "url": "https://doi.org/10.1016/j.ijdrr.2021.102050" + }, + { + "id": "ref_ged4all", + "name": "Global Exposure Database for Multi-Hazard Risk Analysis", + "author_names": [ + "V. Silva", + "D. Amo-Oduro", + "A. Calderon", + "J. Dabbeek", + "V. Despotaki", + "L. Martins", + "A. Rao", + "M. Simionato", + "D. Vigano" + ], + "date_published": "2018", + "url": "https://www.globalquakemodel.org/gempublications/global-exposure-database-for-multi-hazard-risk-analysis-multi-hazard-exposure-taxonomy" + } + ], + "resources": [ + { + "id": "resource_etris_jpn", + "title": "ETRiS Data Products - Tohoku Tsunami 2011", + "description": "Vulnerability and fragility curve CSV files for the Tohoku Tsunami 2011. 25 unique curves x 3 model variants vulnerability curves and 25 unique curves x 3 model variants fragility curves. Building types: RC (1/2/3+ storey), Wood (1/2/3+ storey), Steel, 8 industrial types (B/I variants).", + "data_format": "CSV (csv)", + "access_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "download_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "vulnerability": [ + { + "id": "func_vuln_tsunami_buildings_jpn", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Empirical tsunami vulnerability curves for Japan from Tohoku Tsunami 2011 post-event survey data. Intensity measure: flow depth (m). Building types: RC (1/2/3+ storey), Wood (1/2/3+ storey), Steel, 8 industrial types (B/I variants). 25 unique curves x 3 model variants. M1 (logit), M2 (probit), M3 (cloglog) with epistemic uncertainty." + }, + { + "id": "func_vuln_tsunami_infrastructure_jpn", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "infrastructure", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Empirical tsunami vulnerability curves for industrial infrastructure from Tohoku Tsunami 2011. Intensity measure: flow depth (m). 8 industrial categories (Chemical, Petrochemical, Manufacturing, Cargo Handling, Energy, Food, Warehouse/Distribution, Construction Materials) each with Building [B] and Infrastructure [I] variants. 16 unique curves x 3 model variants." + } + ], + "fragility": [ + { + "id": "func_fragility_tsunami_buildings_jpn", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "damage_scale_name": "Modified MLIT", + "damage_states_names": [ + "D1 (minor)", + "D2 (moderate)", + "D3 (major)", + "D4 (complete)", + "D5 (collapse)", + "D6 (washed away)" + ], + "analysis_details": "Empirical tsunami fragility curves for Japan from Tohoku Tsunami 2011. Intensity measure: flow depth (m). Building types: RC (1/2/3+ storey), Wood (1/2/3+ storey), Steel, 8 industrial types (B/I variants). 25 unique curves x 3 model variants. Damage scale: Modified MLIT (6 states). M1 (logit), M2 (probit), M3 (cloglog) with Bayesian model class selection." + }, + { + "id": "func_fragility_tsunami_infrastructure_jpn", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "infrastructure", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "damage_scale_name": "Simplified", + "damage_states_names": [ + "D1", + "D2", + "D3" + ], + "analysis_details": "Empirical tsunami fragility curves for industrial infrastructure from Tohoku Tsunami 2011. 8 industrial categories with B/I variants. 16 unique curves x 3 model variants. 3 damage states (D1-D3)." + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "rel": "source" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-lka_etris_tsunamivulnerability.json b/_datasets/json/rdls_vln-lka_etris_tsunamivulnerability.json new file mode 100644 index 000000000..3c879d69b --- /dev/null +++ b/_datasets/json/rdls_vln-lka_etris_tsunamivulnerability.json @@ -0,0 +1,158 @@ +{ + "datasets": [ + { + "id": "rdls_vln-lka_etris_tsunamivulnerability", + "title": "ETRiS Tsunami Vulnerability and Fragility Functions - Sri Lanka (2004 Indian Ocean Tsunami)", + "description": "Empirical tsunami vulnerability and fragility curves for Sri Lanka derived from the 2004 Indian Ocean Tsunami post-event survey data. Contains 21 unique vulnerability curves and 21 unique fragility curves organized by coastal location (20 specific areas plus TotalArea aggregate): Ambalangoda, Balapitiya, Bentota, Beruwala, Colombo, Dehiwala, Devinuwara, Dickwella, Galle, Habaraduwa, Hikkaduwa, Kalutara, Matara, Moratuwa, Negombo, Panadura, Rathmalana, Thimbirigasyaya, Wattala, Weligama. Each in 3 model variants. Developed by the European Tsunami Risk Service (ETRiS).", + "risk_data_type": [ + "vulnerability" + ], + "purpose": "Tsunami risk assessment for buildings along the Sri Lankan coast. Location-specific curves account for local construction characteristics and tsunami exposure patterns.", + "project": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + }, + "details": "Curves classified by coastal location rather than building type. 20 specific coastal areas plus 1 aggregate (TotalArea). Fragility: 1 damage state (D1). Vulnerability: damage ratio with epistemic uncertainty bounds. Three link function variants: M1 (logit), M2 (probit), M3 (cloglog).", + "spatial": { + "scale": "sub-national", + "countries": [ + "LKA" + ], + "gazetteer_entries": [ + {"id": "gaz_ambalangoda", "scheme": "GEONAMES", "description": "Ambalangoda", "uri": "geonames.org/1251574/ambalangoda.html"}, + {"id": "gaz_balapitiya", "scheme": "GEONAMES", "description": "Balapitiya", "uri": "geonames.org/1250497/balapitiya.html"}, + {"id": "gaz_bentota", "scheme": "GEONAMES", "description": "Bentota", "uri": "geonames.org/1249978/bentota.html"}, + {"id": "gaz_beruwala", "scheme": "GEONAMES", "description": "Beruwala", "uri": "geonames.org/1249931/beruwala.html"}, + {"id": "gaz_colombo", "scheme": "GEONAMES", "description": "Colombo", "uri": "geonames.org/1248991/colombo.html"}, + {"id": "gaz_dehiwala", "scheme": "GEONAMES", "description": "Dehiwala-Mount Lavinia", "uri": "geonames.org/1234569/dehiwala-mount-lavinia.html"}, + {"id": "gaz_devinuwara", "scheme": "GEONAMES", "description": "Devinuwara", "uri": "geonames.org/1248158/devinuwara.html"}, + {"id": "gaz_dickwella", "scheme": "GEONAMES", "description": "Dickwella", "uri": "geonames.org/1247903/dickwella.html"}, + {"id": "gaz_galle", "scheme": "GEONAMES", "description": "Galle", "uri": "geonames.org/1246294/galle.html"}, + {"id": "gaz_habaraduwa", "scheme": "GEONAMES", "description": "Habaraduwa", "uri": "geonames.org/1245173/habaraduwa.html"}, + {"id": "gaz_hikkaduwa", "scheme": "GEONAMES", "description": "Hikkaduwa", "uri": "geonames.org/1244178/hikkaduwa.html"}, + {"id": "gaz_kalutara", "scheme": "GEONAMES", "description": "Kalutara", "uri": "geonames.org/1241964/kalutara.html"}, + {"id": "gaz_matara", "scheme": "GEONAMES", "description": "Matara", "uri": "geonames.org/1235846/matara.html"}, + {"id": "gaz_moratuwa", "scheme": "GEONAMES", "description": "Moratuwa", "uri": "geonames.org/1234633/moratuwa.html"}, + {"id": "gaz_negombo", "scheme": "GEONAMES", "description": "Negombo", "uri": "geonames.org/1233369/negombo.html"}, + {"id": "gaz_panadura", "scheme": "GEONAMES", "description": "Panadura", "uri": "geonames.org/1231410/panadura.html"}, + {"id": "gaz_rathmalana", "scheme": "GEONAMES", "description": "Rathmalana", "uri": "geonames.org/1228793/ratmalana.html"}, + {"id": "gaz_thimbirigasyaya", "scheme": "GEONAMES", "description": "Thimbirigasyaya", "uri": "geonames.org/11983757/thimbirigasyaya.html"}, + {"id": "gaz_wattala", "scheme": "GEONAMES", "description": "Wattala", "uri": "geonames.org/1224085/wattala.html"}, + {"id": "gaz_weligama", "scheme": "GEONAMES", "description": "Weligama", "uri": "geonames.org/1223738/weligama.html"} + ] + }, + "license": "CC0-1.0", + "version": "1.0.0", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "ETRiS - European Tsunami Risk Service, University of Naples Federico II", + "url": "https://eurotsunamirisk.org/" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "ETRiS Research Team, University of Naples Federico II", + "url": "https://github.com/eurotsunamirisk" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + } + } + ], + "referenced_by": [ + { + "id": "ref_ged4all", + "name": "Global Exposure Database for Multi-Hazard Risk Analysis", + "author_names": [ + "V. Silva", + "D. Amo-Oduro", + "A. Calderon", + "J. Dabbeek", + "V. Despotaki", + "L. Martins", + "A. Rao", + "M. Simionato", + "D. Vigano" + ], + "date_published": "2018", + "url": "https://www.globalquakemodel.org/gempublications/global-exposure-database-for-multi-hazard-risk-analysis-multi-hazard-exposure-taxonomy" + } + ], + "resources": [ + { + "id": "resource_etris_lka", + "title": "ETRiS Data Products - Indian Ocean Tsunami 2004", + "description": "Vulnerability and fragility curve CSV files for the Indian Ocean Tsunami 2004. 21 unique curves x 3 model variants vulnerability curves and 21 unique curves x 3 model variants fragility curves. Building types: 20 coastal locations + TotalArea aggregate.", + "data_format": "CSV (csv)", + "access_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "download_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "vulnerability": [ + { + "id": "func_vuln_tsunami_buildings_lka", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Empirical tsunami vulnerability curves for Sri Lanka from Indian Ocean Tsunami 2004 post-event survey data. Intensity measure: flow depth (m). Building types: 20 coastal locations + TotalArea aggregate. 21 unique curves x 3 model variants. M1 (logit), M2 (probit), M3 (cloglog) with epistemic uncertainty." + } + ], + "fragility": [ + { + "id": "func_fragility_tsunami_buildings_lka", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "damage_scale_name": "Simplified", + "damage_states_names": [ + "D1" + ], + "analysis_details": "Empirical tsunami fragility curves for Sri Lanka from Indian Ocean Tsunami 2004. Intensity measure: flow depth (m). Building types: 20 coastal locations + TotalArea aggregate. 21 unique curves x 3 model variants. Damage scale: Simplified (1 states). M1 (logit), M2 (probit), M3 (cloglog) with Bayesian model class selection." + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "rel": "source" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-prt_etris_tsunamivulnerability.json b/_datasets/json/rdls_vln-prt_etris_tsunamivulnerability.json new file mode 100644 index 000000000..f65fc7b3f --- /dev/null +++ b/_datasets/json/rdls_vln-prt_etris_tsunamivulnerability.json @@ -0,0 +1,118 @@ +{ + "datasets": [ + { + "id": "rdls_vln-prt_etris_tsunamivulnerability", + "title": "ETRiS Tsunami Fatality Vulnerability Function - Portugal (1755 Lisbon Tsunami)", + "description": "Empirical tsunami fatality vulnerability curve for Portugal derived from the 1755 Lisbon Tsunami historical data. Contains 1 fatality probability curve relating tsunami run-up height to probability of fatality, in 3 statistical model variants (logit, probit, cloglog). This is a population vulnerability curve, not a structural damage curve. Developed by the European Tsunami Risk Service (ETRiS).", + "risk_data_type": [ + "vulnerability" + ], + "purpose": "Tsunami fatality risk assessment. The function relates tsunami run-up height to probability of fatality for exposed population.", + "project": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + }, + "details": "Fatality probability curve based on historical records. Intensity measure: run-up height (m). Output: probability of fatality. No building taxonomy. Three link function variants: M1 (logit), M2 (probit), M3 (cloglog) with epistemic uncertainty bounds.", + "spatial": { + "scale": "sub-national", + "countries": [ + "PRT" + ], + "gazetteer_entries": [ + {"id": "gaz_lisboa", "scheme": "GEONAMES", "description": "Distrito de Lisboa", "uri": "geonames.org/2267056/distrito-de-lisboa.html"}, + {"id": "gaz_lisbon", "scheme": "GEONAMES", "description": "Lisbon", "uri": "geonames.org/2267057/lisbon.html"} + ] + }, + "license": "CC0-1.0", + "version": "1.0.0", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "ETRiS - European Tsunami Risk Service, University of Naples Federico II", + "url": "https://eurotsunamirisk.org/" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "ETRiS Research Team, University of Naples Federico II", + "url": "https://github.com/eurotsunamirisk" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + } + } + ], + "referenced_by": [ + { + "id": "ref_ged4all", + "name": "Global Exposure Database for Multi-Hazard Risk Analysis", + "author_names": [ + "V. Silva", + "D. Amo-Oduro", + "A. Calderon", + "J. Dabbeek", + "V. Despotaki", + "L. Martins", + "A. Rao", + "M. Simionato", + "D. Vigano" + ], + "date_published": "2018", + "url": "https://www.globalquakemodel.org/gempublications/global-exposure-database-for-multi-hazard-risk-analysis-multi-hazard-exposure-taxonomy" + } + ], + "resources": [ + { + "id": "resource_etris_prt", + "title": "ETRiS Data Products - Lisbon Tsunami 1755", + "description": "Vulnerability and fragility curve CSV files for the Lisbon Tsunami 1755. 1 unique curve x 3 model variants vulnerability curves and None fragility curves. Building types: N/A (population fatality curve).", + "data_format": "CSV (csv)", + "access_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "download_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "vulnerability": [ + { + "id": "func_vuln_tsunami_fatality_prt", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "Rh_tsi:m", + "category": "population", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "casualty_ratio_vulnerability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Empirical tsunami fatality vulnerability curve from Lisbon Tsunami 1755 historical data. Intensity measure: run-up height (m). Output: probability of fatality. 1 unique curve x 3 model variants. M1 (logit), M2 (probit), M3 (cloglog) with epistemic uncertainty bounds." + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "rel": "source" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-ucl_mvdatvulnerability.json b/_datasets/json/rdls_vln-ucl_mvdatvulnerability.json new file mode 100644 index 000000000..22d836a2b --- /dev/null +++ b/_datasets/json/rdls_vln-ucl_mvdatvulnerability.json @@ -0,0 +1,213 @@ +{ + "datasets": [ + { + "id": "rdls_vln-ucl_mvdatvulnerability", + "title": "MVDat - Multi-hazard Vulnerability Database (Catastrophi Portal)", + "description": "Online repository of harmonised multi-hazard fragility and vulnerability models developed by EPICentre researchers at University College London (UCL). The database contains 24 functions: 14 vulnerability functions (6 flood, 8 wind) and 10 fragility functions (4 earthquake, 3 landslide/tsunami, 3 wind). Functions are entered using a bespoke vulnerability data standard built on the MOVER framework and aligned with the Risk Data Library and GED4ALL taxonomy. All functions receive quality scores based on criteria from Rossetto et al. (2013) and are verified by EPICentre researchers. The functions are generic and transferable to local contexts worldwide. Hosted on the Catastrophi Portal, a Plotly Dash web application. Developed as part of the Geo-INQUIRE project (EU Horizon INFRA-2021-SERV-01, Grant No. 101058518).", + "risk_data_type": [ + "vulnerability" + ], + "version": "1.0", + "purpose": "Multi-hazard risk assessment for buildings. The vulnerability and fragility functions relate hazard intensity to expected damage ratio or damage state probability for various building typologies across flood, wind, earthquake, and landslide/tsunami hazards. Functions are transferable and intended for use in different geographic contexts worldwide.", + "project": { + "name": "Geo-INQUIRE (WP3) - EU Horizon INFRA-2021-SERV-01, Grant No. 101058518", + "url": "https://cordis.europa.eu/project/id/101058518" + }, + "details": "Vulnerability functions express expected damage ratio (MDR) as a continuous function of hazard intensity. Fragility functions express the probability of exceeding defined damage states as a function of intensity. The database covers four hazard types: flood (fluvial), strong wind (tropical cyclone), earthquake (ground motion), and landslide (lateral, shallow, tsunami). Building classifications follow the GEM Building Taxonomy / GED4ALL. Intensity measures include flood water depth (m), 5-sec gust wind speed (km/h), 3-sec gust wind speed (m/s), peak ground acceleration (g), and tsunami inundation depth (m). Functions are available for individual visualization through the portal's Generate Graph feature but cannot currently be downloaded in bulk. Five reference studies have been identified: Yamin et al. (2014), Custer & Nishijima (2015), Massara et al. (2020), Fotopoulou & Pitilakis (2013), and Lahcene et al. (2021).", + "spatial": { + "scale": "global" + }, + "license": "open", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "EPICentre, Department of Civil, Environmental & Geomatic Engineering, University College London (UCL)", + "url": "https://www.ucl.ac.uk/epicentre" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "EPICentre Researchers, University College London (UCL)", + "url": "https://www.ucl.ac.uk/epicentre/resources/mvdat-online-repository" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "EPICentre, UCL", + "email": "epicentre-enquiries@ucl.ac.uk" + } + } + ], + "referenced_by": [ + { + "id": "ref_rossetto_2013", + "name": "Evaluation of existing fragility curves", + "author_names": [ + "T. Rossetto", + "D. D'Ayala", + "I. Ioannou", + "A. Meslem" + ], + "date_published": "2013", + "url": "https://link.springer.com/chapter/10.1007/978-94-007-7872-6_3" + }, + { + "id": "ref_yamin_2014", + "name": "Wind vulnerability functions (Judgement approach)", + "author_names": [ + "L. Yamin" + ], + "date_published": "2014" + }, + { + "id": "ref_custer_nishijima_2015", + "name": "Flood vulnerability functions (Analytical approach)", + "author_names": [ + "R. Custer", + "K. Nishijima" + ], + "date_published": "2015" + }, + { + "id": "ref_fotopoulou_pitilakis_2013", + "name": "Earthquake/landslide fragility functions", + "author_names": [ + "S. Fotopoulou", + "K. Pitilakis" + ], + "date_published": "2013" + }, + { + "id": "ref_massara_2020", + "name": "Wind fragility functions (bivariate 3D surface)", + "author_names": [ + "Massara" + ], + "date_published": "2020" + }, + { + "id": "ref_lahcene_2021", + "name": "Tsunami fragility functions", + "author_names": [ + "Lahcene" + ], + "date_published": "2021" + } + ], + "resources": [ + { + "id": "resource_catastrophi_portal", + "title": "Catastrophi Portal - Fragility and Vulnerability Functions", + "description": "Interactive web portal (Plotly Dash application) for visualizing fragility and vulnerability functions. Contains 24 functions: 14 vulnerability (6 flood, 8 wind) and 10 fragility (4 earthquake, 3 landslide/tsunami, 3 wind). Functions can be filtered by hazard type, process, intensity measure, country, construction material, quality rating, and approach. Individual curves can be visualized via the Generate Graph feature. Portal includes statistical summaries (pie charts by hazard and function type), a studies timeline, and a world map of geographic coverage. Functions cannot currently be downloaded; visualization-only access. Hosted on free-tier Render platform (may have cold-start delays).", + "data_format": "JSON (json)", + "access_url": "https://catastrophi.onrender.com/", + "access_modality": "dashboard" + } + ], + "vulnerability": { + "functions": { + "fragility": [ + { + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "4 earthquake fragility functions. Building taxonomy: CR/LFM/HEX:1+HFEX:3+HD:0/FOSSL (GEM). 4 damage states (Probability of Exceedance). PGA range: 0.001-2.0 g. Includes study by Fotopoulou & Pitilakis (2013). Quality rating: G (Good). Countries: IDN, USA + unspecified. Approach: Empirical and Analytical.", + "id": "func_fragility_earthquake" + }, + { + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "landslide", + "hazard_process_primary": "landslide_general", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "wd:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "3 landslide/tsunami fragility functions. Building taxonomy: MCF/MIX (GEM). 3 damage states (Probability of Exceedance). Tsunami inundation depth range: 0.2-6.6 m. Processes: LSL (lateral), LSS (shallow). Includes study by Lahcene et al. (2021). Quality rating: G (Good). Countries: IDN + unspecified.", + "id": "func_fragility_landslide" + }, + { + "approach": "analytical", + "relationship": "math_parametric", + "hazard_primary": "strong_wind", + "hazard_process_primary": "tropical_cyclone", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGWS:m/s", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "3 wind fragility functions. Bivariate 3D surface fragility model: 3-sec gust wind speed at 10m (m/s) x max significant wave height (m). 3 damage states. Wind speed range: 47.63-67.99 m/s. Building type: Confined Masonry Concrete. Includes study by Massara et al. (2020). Quality rating: G (Good). Countries: USA + unspecified.", + "id": "func_fragility_wind" + } + ], + "vulnerability": [ + { + "approach": "analytical", + "relationship": "math_bespoke", + "hazard_primary": "flood", + "hazard_process_primary": "fluvial_flood", + "hazard_analysis_type": "deterministic", + "intensity_measure": "wd:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "inferred", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "6 flood vulnerability functions. Intensity measure: flood water depth (m). Damage scale: Mean Damage Ratio (MDR). Construction materials: Adobe (E99), Masonry+Steel (M99+ST99), unspecified. Countries: ARG, CHL, COL, CRI, HTI, MEX, NIC, PAN + unspecified. Macro areas: Global, North America, South America. Asset location: Urban/Suburban. Includes study by Custer & Nishijima (2015), Quality: Ex (Excellent). Taxonomy: GED4ALL / GEM Building Taxonomy.", + "id": "func_vuln_flood" + }, + { + "approach": "judgement", + "relationship": "math_bespoke", + "hazard_primary": "strong_wind", + "hazard_process_primary": "tropical_cyclone", + "hazard_analysis_type": "deterministic", + "intensity_measure": "PGWS:km/h", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "inferred", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "8 wind vulnerability functions. Intensity measure: 5-sec gust speed at 10m above ground level on relatively flat terrain (km/h). Damage scale: Mean Damage Ratio (MDR). Construction materials: Adobe (E99), unspecified. Countries: ARG, CHL, COL, CRI, HTI, MEX, NIC, PAN + unspecified. Macro areas: Global, North America, South America. Asset location: Urban/Suburban. Includes study by Yamin et al. (2014), Quality: UN (Unknown). Taxonomy: GED4ALL / GEM Building Taxonomy.", + "id": "func_vuln_wind" + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://www.ucl.ac.uk/epicentre/resources/mvdat-online-repository", + "rel": "source" + } + ] + } + ] +} diff --git a/_datasets/json/rdls_vln-usa_fema_hazusvulnerability.json b/_datasets/json/rdls_vln-usa_fema_hazusvulnerability.json new file mode 100644 index 000000000..478f05109 --- /dev/null +++ b/_datasets/json/rdls_vln-usa_fema_hazusvulnerability.json @@ -0,0 +1,216 @@ +{ + "datasets": [ + { + "id": "rdls_vln-usa_fema_hazusvulnerability", + "title": "FEMA Hazus Multi-Hazard Vulnerability and Fragility Functions (Earthquake, Flood, Hurricane, Tsunami)", + "description": "FEMA's Hazus (Hazards U.S.) multi-hazard loss estimation methodology containing vulnerability and fragility functions for four major hazard types. Flood: discrete Depth Damage Functions (DDFs) for 25+ occupancy classes (RES1-RES6, COM1-COM10, IND1-IND6, AGR1, REL1, GOV1-GOV2, EDU1-EDU2) with 700+ functions from FIA claims data and USACE district sources, covering building structural, content, and inventory damage across riverine, Coastal A, and Coastal V flood zones. Earthquake: lognormal fragility functions for 36 building types (FEMA 178 taxonomy) across 6 seismic design levels (Severe-Code through Pre-Code) with 5 damage states (None, Slight, Moderate, Extensive, Complete), capacity curves, and spectral displacement-based intensity measures. Hurricane: component-based Monte Carlo simulation for 39 building types with 62 Wind Building Characteristics, tracking damage at the component level (roof sheathing, windows, walls). Tsunami: lognormal fragility functions for 36 building types across 7 seismic design levels using momentum flux intensity measure for structural flow damage and inundation depth for nonstructural/contents flood damage. Current technical manual version 6.1 (2024); software version 7.1. Vulnerability parameters reside in the Hazus SQL Server database; machine-readable extractions available via the NHERI SimCenter Damage and Loss Model Library.", + "risk_data_type": [ + "vulnerability" + ], + "version": "6.1", + "purpose": "Multi-hazard loss estimation for the United States. The vulnerability and damage functions relate hazard intensity to expected physical damage and economic loss for buildings, infrastructure, and essential facilities across flood, earthquake, hurricane, and tsunami hazards. Functions support census tract-level risk assessment and are standardised for all US states and territories.", + "project": { + "name": "FEMA Natural Hazards and Risk Assessment Program (NHRAP) - Hazus", + "url": "https://www.fema.gov/flood-maps/products-tools/hazus" + }, + "details": "Flood module: Depth Damage Functions (DDFs) express damage percentage (0-100%) as a discrete function of flood water depth in 1-foot increments from -4 ft (basement) to 24+ ft. DDFs differentiated by occupancy class, foundation type, number of stories, and flooding type. 33 default riverine structure DDF assignments from FIA credibility-weighted claims (255,717+ claims, 1978-2001), FEMA BCAR (2011), and 8+ USACE district sources. Content cost ratios: 0.5x residential, 1.0x commercial, 1.5x industrial. Damage function library contains 700+ functions. Earthquake module: lognormal CDF fragility P[ds|Sd] = Phi[(1/beta) * ln(Sd/median)]. 36 building types (W1-MH per FEMA 178) x 6 design levels x 5 damage states. Capacity curves as bilinear Sa-Sd relationships. Variability (beta) from SRSS of capacity, demand, and damage-state uncertainty. Hurricane module: component-based Monte Carlo simulation decomposing buildings into roof cover, sheathing, roof-to-wall connections, walls, windows, doors. 39 building types, 62 Wind Building Characteristics. Manufactured homes use 5-class damage system. Tsunami module: structural flow damage via lognormal fragility using momentum flux (ft3/s2) for 36 building types x 7 design levels x 3 damage states (Moderate, Extensive, Complete). Nonstructural/contents damage via inundation depth. Combined EQ+TS probability formulas provided. All parameters documented in Hazus 6.1 Technical Manuals (2024).", + "spatial": { + "scale": "national", + "countries": [ + "USA" + ] + }, + "license": "open", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "Federal Emergency Management Agency (FEMA), U.S. Department of Homeland Security", + "url": "https://www.fema.gov" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "FEMA Natural Hazards and Risk Assessment Program (NHRAP)", + "url": "https://www.fema.gov/flood-maps/products-tools/hazus" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "James Raines, FEMA NHRAP", + "email": "james.rainesii@fema.dhs.gov" + } + } + ], + "referenced_by": [ + { + "id": "ref_hazus_flood_tm", + "name": "Hazus Flood Model Technical Manual 6.1", + "author_names": [ + "FEMA" + ], + "date_published": "2024", + "url": "https://www.fema.gov/sites/default/files/documents/fema_hazus-flood-model-technical-manual-6-1.pdf" + }, + { + "id": "ref_hazus_eq_tm", + "name": "Hazus Earthquake Model Technical Manual 6.1", + "author_names": [ + "FEMA" + ], + "date_published": "2024", + "url": "https://www.fema.gov/sites/default/files/documents/fema_hazus-earthquake-model-technical-manual-6-1.pdf" + }, + { + "id": "ref_hazus_hu_tm", + "name": "Hazus Hurricane Model Technical Manual 6.1", + "author_names": [ + "FEMA" + ], + "date_published": "2024" + }, + { + "id": "ref_hazus_ts_tm", + "name": "Hazus Tsunami Model Technical Manual 6.1", + "author_names": [ + "FEMA" + ], + "date_published": "2024", + "url": "https://www.fema.gov/sites/default/files/documents/fema_hazus-tsunami-model-technical-manual-6-1.pdf" + }, + { + "id": "ref_simcenter_library", + "name": "NHERI SimCenter Damage and Loss Model Library (machine-readable HAZUS EQ, HU, FL data)", + "author_names": [ + "NHERI SimCenter" + ], + "url": "https://github.com/NHERI-SimCenter/DamageAndLossModelLibrary" + } + ], + "resources": [ + { + "id": "resource_hazus_program", + "title": "FEMA Hazus Program - Multi-Hazard Loss Estimation Software and Data", + "description": "Official FEMA Hazus program page providing access to the Hazus software (ArcGIS Pro-based), technical manuals, user guides, and training resources. The Hazus software includes the comprehensive SQL Server database containing all vulnerability parameters: depth-damage functions for flood (700+ DDFs), earthquake fragility curves (36 building types x 6 design levels), hurricane component damage models (39 types x 62 WBCs), and tsunami fragility parameters (36 types x 7 design levels). Technical manuals (version 6.1, 2024) document the complete methodology, equations, and sample parameters for all hazard modules. The software and documentation are freely available for US-based users.", + "data_format": "Database", + "access_url": "https://www.fema.gov/flood-maps/products-tools/hazus", + "access_modality": "download_page" + }, + { + "id": "resource_hazus_github", + "title": "Hazus Open-Source Python Library (hazpy) - Partial Extraction", + "description": "Open-source Python extraction of FEMA's Hazus loss estimation logic (v0.0.11, last updated 2019-2020). The flood module is most substantively implemented with 400+ lines of DDF logic. Other hazard modules are framework stubs. Note: actual vulnerability parameter lookup tables (DDFs, fragility curves) are NOT included — they reside in the Hazus SQL Server database. GPL-3.0 license.", + "data_format": "py", + "access_url": "https://github.com/nhrap-hazus/hazus", + "download_url": "https://github.com/nhrap-hazus/hazus/archive/refs/heads/master.zip", + "access_modality": "download_page" + }, + { + "id": "resource_simcenter_dml", + "title": "NHERI SimCenter Damage and Loss Model Library (Machine-Readable HAZUS Data)", + "description": "Machine-readable JSON/CSV extractions of HAZUS vulnerability data maintained by the NHERI SimCenter. Includes earthquake fragility parameters, hurricane wind damage functions, and flood depth-damage functions extracted from the Hazus database. This is the best available source for programmatic access to HAZUS vulnerability parameters without requiring the full Hazus software installation.", + "data_format": "JSON (json)", + "access_url": "https://github.com/NHERI-SimCenter/DamageAndLossModelLibrary", + "download_url": "https://github.com/NHERI-SimCenter/DamageAndLossModelLibrary/archive/refs/heads/master.zip", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "vulnerability": [ + { + "approach": "empirical", + "relationship": "discrete", + "hazard_primary": "flood", + "hazard_process_primary": "fluvial_flood", + "hazard_analysis_type": "deterministic", + "intensity_measure": "wd:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "HAZUS", + "analysis_details": "Flood Depth Damage Functions (DDFs) for 25+ occupancy classes expressing damage percentage (0-100%) as a discrete function of flood water depth in 1-foot increments from -4 ft (basement) to 24+ ft. 33 default riverine structure DDF assignments. Three DDF types by flood zone: riverine, Coastal A (moderate waves 1.0-2.9 ft), Coastal V (high waves 3.0+ ft). Three DDF types by component: structure, contents, inventory. Occupancy classes: RES1-RES6 (residential), COM1-COM10 (commercial), IND1-IND6 (industrial), AGR1, REL1, GOV1-GOV2, EDU1-EDU2. Sources: FIA credibility-weighted claims data (255,717+ claims 1978-2001), FEMA BCAR (2011), USACE Galveston/Chicago/IWR/New Orleans/New York/Sacramento/Wilmington/NACCS districts, Colorado State University, FEMA Risk MAP. Library contains 700+ damage functions total. Content cost ratios: 0.5x residential, 1.0x commercial, 1.5x industrial. Also covers essential facilities, transportation (bridge scour), utility systems, and vehicles.", + "id": "func_vuln_flood" + }, + { + "approach": "analytical", + "relationship": "discrete", + "hazard_primary": "strong_wind", + "hazard_process_primary": "tropical_cyclone", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGWS:m/s", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "HAZUS", + "analysis_details": "Hurricane component-based Monte Carlo simulation for 39 building types with 62 Wind Building Characteristics (WBCs). Buildings decomposed into individual components: roof cover, roof sheathing, roof-to-wall connections, walls, windows, doors, garage doors. Damage simulated at component level through repeated random sampling. Intensity measure: 3-second peak gust wind speed at 10m height in open terrain (z0=0.03m). Four terrain roughness categories. Key structural parameters: roof-to-wall connections (strapped 1200 lbs vs toe-nail 415 lbs), sheathing nailing (6d vs 8d). Manufactured homes: 5-class damage system (Vann & McDonald). Outputs: component damage percentages, building loss ratios, repair costs. 33 occupancy classes covered.", + "id": "func_vuln_hurricane" + } + ], + "fragility": [ + { + "damage_states_names": [ + "Slight", + "Moderate", + "Extensive", + "Complete" + ], + "approach": "analytical", + "relationship": "math_parametric", + "damage_scale_name": "HAZUS-MH", + "hazard_primary": "earthquake", + "hazard_process_primary": "ground_motion", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "PGA:g", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "HAZUS", + "analysis_details": "Earthquake lognormal CDF fragility: P[ds|Sd] = Phi[(1/beta_ds) x ln(Sd/median_ds)]. 36 building types (W1, W2, S1L-S1H, S2L-S2H, S3, S4L-S4H, S5L-S5H, C1L-C1H, C2L-C2H, C3L-C3H, PC1, PC2L-PC2H, RM1L-RM1M, RM2L-RM2H, URML, URMM, MH per FEMA 178) across 6 seismic design levels (Severe-Code, Very High-Code, High-Code, Moderate-Code, Low-Code, Pre-Code). 5 damage states: None, Slight, Moderate, Extensive, Complete with collapse fractions per building type. Structural fragility medians based on inter-story drift ratios; nonstructural split into drift-sensitive and acceleration-sensitive. Variability (beta) from SRSS of capacity (beta_C), demand (beta_D), and damage-state (beta_M: 0.4 structural, 0.5 NSD, 0.6 NSA) uncertainty. Bilinear capacity curves in Sa-Sd space with yield and ultimate control points. Intensity measures: Sd (primary structural), Sa (acceleration-sensitive), PGA (utilities/transportation), Sa(0.3s) and Sa(1.0s) for demand spectrum. Comprehensive parameter tables (Tables 5-7 through 5-34) for all SBT x design level combinations. Covers general buildings, essential facilities, transportation, and utility systems.", + "id": "func_fragility_earthquake" + }, + { + "damage_states_names": [ + "Moderate", + "Extensive", + "Complete" + ], + "approach": "analytical", + "relationship": "math_parametric", + "damage_scale_name": "HAZUS-MH", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "probabilistic", + "intensity_measure": "MF:m3/s2", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "simulated", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "HAZUS", + "analysis_details": "Tsunami lognormal CDF fragility functions for structural damage due to tsunami flow. 36 building types (same FEMA 178 taxonomy as earthquake) across 7 seismic design levels (High-Code, Moderate-Code, Low-Code, Pre-Code, Special High-Code, Special Moderate-Code, Special Low-Code). 3 structural flow damage states: Moderate, Extensive, Complete (Slight not produced by tsunami flow). Intensity measure for flow: momentum flux (ft3/s2) as proxy for hydrodynamic force (depth x velocity squared). Variability (beta) from SRSS of building capacity, Kd factor (debris/shielding, range 0.5-2.0), and plan dimension uncertainty. Also includes nonstructural/contents damage via inundation depth (4 damage states). Comprehensive parameter tables (Tables 5-11 through 5-17) for all SBT x design level combinations. Combined EQ+TS damage probability methodology (Boolean logic, Equations 5-18 through 5-36). Restoration times: Slight=1d, Moderate=3d, Extensive=30d, Complete=120d. Validated against field data from 2004 Indian Ocean, 2009 South Pacific, and 2011 Tohoku tsunamis.", + "id": "func_fragility_tsunami" + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + } + ] + } + ] +} \ No newline at end of file diff --git a/_datasets/json/rdls_vln-wsm_etris_tsunamivulnerability.json b/_datasets/json/rdls_vln-wsm_etris_tsunamivulnerability.json new file mode 100644 index 000000000..8d58b7159 --- /dev/null +++ b/_datasets/json/rdls_vln-wsm_etris_tsunamivulnerability.json @@ -0,0 +1,156 @@ +{ + "datasets": [ + { + "id": "rdls_vln-wsm_etris_tsunamivulnerability", + "title": "ETRiS Tsunami Vulnerability and Fragility Functions - Samoa (2009 South Pacific Tsunami)", + "description": "Empirical tsunami vulnerability and fragility curves for Samoa derived from the 2009 South Pacific Tsunami post-event survey data. Contains 3 unique vulnerability curves and 3 unique fragility curves for residential building types: brick masonry, reinforced concrete (1 storey), and timber. Each curve in 3 model variants (logit, probit, cloglog). Fragility uses Reese damage scale (3 upper damage states: D3-D5). Developed by the European Tsunami Risk Service (ETRiS).", + "risk_data_type": [ + "vulnerability" + ], + "purpose": "Tsunami risk assessment for residential buildings in Samoa. The functions relate tsunami flow depth to structural damage ratios and damage state exceedance probabilities for three building typologies.", + "project": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + }, + "details": "Building types: Brick masonry residential, Reinforced Concrete 1-storey residential, Timber. Fragility: 3 damage states (D3, D4, D5) using Reese damage scale. Vulnerability: damage ratio with epistemic uncertainty bounds. Three link function variants: M1 (logit), M2 (probit), M3 (cloglog).", + "spatial": { + "scale": "sub-national", + "countries": [ + "WSM" + ], + "gazetteer_entries": [ + {"id": "gaz_upolu", "scheme": "GEONAMES", "description": "Upolu Island", "uri": "geonames.org/4034956/upolu.html"} + ] + }, + "license": "CC0-1.0", + "version": "1.0.0", + "attributions": [ + { + "id": "attribution_publisher", + "role": "publisher", + "entity": { + "name": "ETRiS - European Tsunami Risk Service, University of Naples Federico II", + "url": "https://eurotsunamirisk.org/" + } + }, + { + "id": "attribution_creator", + "role": "creator", + "entity": { + "name": "ETRiS Research Team, University of Naples Federico II", + "url": "https://github.com/eurotsunamirisk" + } + }, + { + "id": "attribution_contact", + "role": "contact_point", + "entity": { + "name": "ETRiS - European Tsunami Risk Service", + "url": "https://eurotsunamirisk.org/" + } + } + ], + "referenced_by": [ + { + "id": "ref_reese_2011", + "name": "Tsunami vulnerability of buildings and people in South Java", + "author_names": [ + "S. Reese", + "B.A. Bradley", + "J. Bind", + "G. Smart", + "W. Power", + "J. Sturman" + ], + "date_published": "2011", + "doi": "10.1016/j.earscirev.2011.01.009", + "url": "https://doi.org/10.1016/j.earscirev.2011.01.009" + }, + { + "id": "ref_ged4all", + "name": "Global Exposure Database for Multi-Hazard Risk Analysis", + "author_names": [ + "V. Silva", + "D. Amo-Oduro", + "A. Calderon", + "J. Dabbeek", + "V. Despotaki", + "L. Martins", + "A. Rao", + "M. Simionato", + "D. Vigano" + ], + "date_published": "2018", + "url": "https://www.globalquakemodel.org/gempublications/global-exposure-database-for-multi-hazard-risk-analysis-multi-hazard-exposure-taxonomy" + } + ], + "resources": [ + { + "id": "resource_etris_wsm", + "title": "ETRiS Data Products - South Pacific Tsunami 2009", + "description": "Vulnerability and fragility curve CSV files for the South Pacific Tsunami 2009. 3 unique curves x 3 model variants vulnerability curves and 3 unique curves x 3 model variants fragility curves. Building types: Brick masonry, RC 1-storey, Timber.", + "data_format": "CSV (csv)", + "access_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "download_url": "https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip", + "access_modality": "download_page" + } + ], + "vulnerability": { + "functions": { + "vulnerability": [ + { + "id": "func_vuln_tsunami_buildings_wsm", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "damage_ratio", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "analysis_details": "Empirical tsunami vulnerability curves for Samoa from South Pacific Tsunami 2009 post-event survey data. Intensity measure: flow depth (m). Building types: Brick masonry, RC 1-storey, Timber. 3 unique curves x 3 model variants. M1 (logit), M2 (probit), M3 (cloglog) with epistemic uncertainty." + } + ], + "fragility": [ + { + "id": "func_fragility_tsunami_buildings_wsm", + "approach": "empirical", + "relationship": "math_parametric", + "hazard_primary": "tsunami", + "hazard_process_primary": "tsunami", + "hazard_analysis_type": "deterministic", + "intensity_measure": "h_tsi:m", + "category": "buildings", + "impact_type": "direct", + "impact_modelling": "observed", + "impact_metric": "probability", + "quantity_kind": "fraction", + "taxonomy": "GED4ALL", + "damage_scale_name": "Reese", + "damage_states_names": [ + "D3 (heavy structural damage)", + "D4 (partial collapse)", + "D5 (total collapse)" + ], + "analysis_details": "Empirical tsunami fragility curves for Samoa from South Pacific Tsunami 2009. Intensity measure: flow depth (m). Building types: Brick masonry, RC 1-storey, Timber. 3 unique curves x 3 model variants. Damage scale: Reese (3 states). M1 (logit), M2 (probit), M3 (cloglog) with Bayesian model class selection." + } + ] + } + }, + "links": [ + { + "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", + "rel": "describedby" + }, + { + "href": "https://github.com/eurotsunamirisk/etris_data_and_data_products", + "rel": "source" + } + ] + } + ] +} diff --git a/_datasets/rdls_vln-chl_etris_tsunamivulnerability.md b/_datasets/rdls_vln-chl_etris_tsunamivulnerability.md new file mode 100644 index 000000000..4b34b2084 --- /dev/null +++ b/_datasets/rdls_vln-chl_etris_tsunamivulnerability.md @@ -0,0 +1,90 @@ +--- +catalog: null +contact_point: + email: null + id: attribution_contact + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +creator: + email: null + id: attribution_creator + name: ETRiS Research Team, University of Naples Federico II + url: https://github.com/eurotsunamirisk +dataset_id: rdls_vln-chl_etris_tsunamivulnerability +description: Empirical tsunami vulnerability and fragility curves for Chile derived + from the 2010 Chilean Tsunami post-event survey data. Contains 1 aggregate building + vulnerability curve and 1 aggregate fragility curve (single damage state exceedance), + each in 3 statistical model variants (logit, probit, cloglog). Developed by the + European Tsunami Risk Service (ETRiS). +details: 'Aggregate curves for all building types combined. Fragility provides exceedance + probability for 1 damage state (D1). Vulnerability provides damage ratio with epistemic + uncertainty bounds (16th, 50th, 84th percentiles). Three link function variants: + M1 (logit), M2 (probit), M3 (cloglog).' +exposure: null +extra_attributions: [] +hazard: null +license: CC0-1.0 +loss: null +project: + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +publisher: + email: null + id: attribution_publisher + name: ETRiS - European Tsunami Risk Service, University of Naples Federico II + url: https://eurotsunamirisk.org/ +purpose: Tsunami risk assessment for buildings in Chile. The vulnerability curve relates + tsunami flow depth to expected structural damage ratio, and the fragility curve + provides damage state exceedance probability for aggregate building stock. +resources: +- coordinate_system: null + description: 'Vulnerability and fragility curve CSV files for the Chilean Tsunami + 2010. 1 unique curve x 3 model variants vulnerability curves and 1 unique curve + x 3 model variants fragility curves. Building types: Aggregate (all buildings).' + download_url: https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip + format: CSV (csv) + id: resource_etris_chl + media_type: null + spatial_resolution: null + temporal: null + title: ETRiS Data Products - Chilean Tsunami 2010 +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-chl_etris_tsunamivulnerability +spatial: + countries: + - CHL + gazetteer_entries: + - description: Region del Maule + id: gaz_maule + scheme: GEONAMES + uri: geonames.org/3880306/region-del-maule.html + - description: Region del Biobio + id: gaz_biobio + scheme: GEONAMES + uri: geonames.org/3898380/region-del-biobio.html + - description: Constitucion + id: gaz_constitucion + scheme: GEONAMES + uri: geonames.org/3893726/constitucion.html + scale: sub-national +title: ETRiS Tsunami Vulnerability and Fragility Functions - Chile (2010 Chilean Tsunami) +version: 1.0.0 +vulnerability: + approach: empirical + base_data_type: observed + category: buildings + dimension: '' + function_type: '' + hazard_analysis_type: deterministic + hazard_primary: tsunami + hazard_process_primary: tsunami + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: damage_ratio, probability + relationship: math_parametric + taxonomy: GED4ALL + unit: '' +--- diff --git a/_datasets/rdls_vln-etris_tsunamivulnerability.md b/_datasets/rdls_vln-etris_tsunamivulnerability.md new file mode 100644 index 000000000..6abd6a437 --- /dev/null +++ b/_datasets/rdls_vln-etris_tsunamivulnerability.md @@ -0,0 +1,113 @@ +--- +catalog: null +contact_point: + email: null + id: attribution_contact + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +creator: + email: null + id: attribution_creator + name: ETRiS Research Team, University of Naples Federico II + url: https://github.com/eurotsunamirisk +dataset_id: rdls_vln-etris_tsunamivulnerability +description: 'Empirical tsunami vulnerability curves, fragility curves, and consequence + functions developed by the European Tsunami Risk Service (ETRiS) at University of + Naples Federico II. The dataset provides Probabilistic Tsunami Risk Assessment (PTRA) + components derived from post-event survey data across 6 historical tsunami events: + South Pacific 2009 (Samoa), Chilean 2010, Tohoku 2011 (Japan), Indian Ocean 2004 + (Sri Lanka), Sulawesi 2018 (Indonesia), and Lisbon 1755 (Portugal). Contains approximately + 166 vulnerability curve entries and 120+ fragility curve entries covering residential + buildings (RC, wood, steel, masonry) and industrial facilities (chemical, petrochemical, + manufacturing, etc.). Each curve is provided in 3 statistical model variants (logit, + probit, cloglog link functions) with Bayesian model class selection and epistemic + uncertainty bounds. Building taxonomy follows the GED4ALL standard. Also includes + 5 damage scale definitions and 7 consequence function models mapping damage states + to economic loss or fatality ratios.' +details: 'Vulnerability curves express the conditional probability distribution (mean + and standard deviation) of a decision variable (damage ratio or fatality probability) + as a function of tsunami intensity. Each CSV file contains 4 columns: intensity + measure, 16th percentile, median, and 84th percentile vulnerability. Fragility curves + express the probability of exceeding defined damage states, with 7 columns per damage + state: intensity, mean +/- 1 sigma fragility, median, logarithmic standard deviation, + and epistemic uncertainty. Three link function variants are provided per curve: + M1 (logit), M2 (probit), M3 (cloglog), with Bayesian model class selection to rank + model performance. Damage scales used include Reese (6 levels), EMS-98 for masonry + and RC (6 levels each), Modified MLIT (7 levels), and Paulik (4 levels). Consequence + functions map damage states to economic loss ratios or fatality/casualty rates. + All curves are empirically derived from post-tsunami field survey data. The Lisbon + 1755 curves represent fatality probability rather than structural damage.' +exposure: null +extra_attributions: [] +hazard: null +license: CC0-1.0 +loss: null +project: + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +publisher: + email: null + id: attribution_publisher + name: ETRiS - European Tsunami Risk Service, University of Naples Federico II + url: https://eurotsunamirisk.org/ +purpose: Tsunami risk assessment for buildings and industrial infrastructure. The + vulnerability and fragility functions relate tsunami intensity (flow depth or run-up + height) to expected structural damage ratios, damage state exceedance probabilities, + and fatality probabilities for various building typologies and industrial facility + types across multiple geographic contexts. +resources: +- coordinate_system: null + description: 'Complete GitHub repository containing Probabilistic Tsunami Risk Assessment + (PTRA) data products across 5 folders: (1) Vulnerability_Curves - approximately + 166 empirical vulnerability curve entries (55 unique curves x 3 model variants + M1/M2/M3) for 6 tsunami events (South Pacific 2009, Chilean 2010, Tohoku 2011, + Indian Ocean 2004, Sulawesi 2018, Lisbon 1755), each CSV with 4 columns (intensity, + 16th percentile, median, 84th percentile vulnerability), covering residential + buildings (RC, wood, steel, masonry at various storey heights), industrial facilities + (chemical, petrochemical, manufacturing, cargo handling, energy, food, warehouse/distribution, + construction materials with B/I variants), and fatality curves; (2) Fragility_Curves + - approximately 120+ empirical fragility curve entries for the same events, each + CSV with 7 columns per damage state (flow depth, mean +/- 1 sigma fragility, median, + logarithmic standard deviation, epistemic uncertainty), plus Bayesian Model Class + Selection subfolder; (3) Consequence_Models - 7 consequence functions mapping + damage states to economic loss ratios, fatality rates, or casualty rates (Antoncecchi + et al. 2020, Di Pasquale 2005, Asprone et al. 2013, Dolce et al. 2006, Goda et + al. 2021); (4) Damage_Scales - 5 damage scale definitions (Reese 6 levels, EMS-98 + masonry/RC 6 levels, Modified MLIT 7 levels, Paulik 4 levels); (5) Loss_Curves + - in progress. All curve data available in CSV and XLSX formats. Metadata inventory + tables with GED4ALL taxonomy strings and geographic coordinates available in the + companion metadata repository (https://github.com/eurotsunamirisk/metadata).' + download_url: https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip + format: CSV (csv) + id: resource_etris_data_products + media_type: null + spatial_resolution: null + temporal: null + title: ETRiS Tsunami Data Products Repository +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-etris_tsunamivulnerability +spatial: + countries: + - GLO + scale: global +title: ETRiS Tsunami Vulnerability, Fragility, and Consequence Data Products +version: null +vulnerability: + approach: empirical + base_data_type: inferred, observed + category: buildings, infrastructure, population + dimension: '' + function_type: '' + hazard_analysis_type: deterministic + hazard_primary: tsunami + hazard_process_primary: tsunami + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: casualty_ratio_vulnerability, damage_ratio, loss_ratio, probability + relationship: discrete, math_parametric + taxonomy: GED4ALL + unit: '' +--- diff --git a/_datasets/rdls_vln-eur_auth_synergfragility.md b/_datasets/rdls_vln-eur_auth_synergfragility.md new file mode 100644 index 000000000..422a4c194 --- /dev/null +++ b/_datasets/rdls_vln-eur_auth_synergfragility.md @@ -0,0 +1,117 @@ +--- +catalog: null +contact_point: + email: kpitilak@civil.auth.gr + id: attribution_contact + name: Prof. Kyriazis Pitilakis, Aristotle University of Thessaloniki + url: null +creator: + email: null + id: attribution_creator + name: 'SYNER-G Consortium (14 partners: AUTH, VCE, BRGM, JRC, NGI, UPAV, UROMA, + METU, AMRA, KIT, UPAT, Willis, UILLINOIS, RCUSS)' + url: https://cordis.europa.eu/project/id/244061 +dataset_id: rdls_vln-eur_auth_synergfragility +description: Seismic fragility functions for European buildings, bridges, utility + networks (electric power, water, gas), transportation networks (roads, railways), + and critical facilities (harbors, hospitals) developed under the SYNER-G project + (EU FP7, Grant No. 244061). The project produced fragility curves for all categories + of elements at risk using a unified European taxonomy, covering reinforced concrete + and masonry buildings (5 damage grades DG1-DG5), bridges (yielding and near collapse + states), utility network components (pipelines, substations, pumping stations), + road/railway elements (tunnels, embankments, bridge abutments), and critical facilities + (waterfront structures, cranes, hospital systems). A Fragility Function Manager + tool was developed for storing, visualizing, harmonizing, and comparing fragility + functions across different studies. Validated through case studies in Thessaloniki + (Greece), Vienna (Austria), and multiple Italian sites using Monte Carlo simulation + with 10,000 runs. +details: 'Fragility functions were derived using analytical methods (nonlinear dynamic + analysis, 3D FEM, fault tree analysis), empirical methods (post-earthquake damage + data from Duzce, Lefkas, 1970 Thessaloniki), and hybrid/expert judgement approaches. + Buildings: RC fragility curves account for shear failure, model uncertainties, and + scatter of material properties per Eurocode 8; masonry curves use 3D FEM with biaxial + failure criterion considering in-plane and out-of-plane failure. Bridges: new curves + for European roadway and railway RC bridges considering bridge length, span count, + pier characteristics, and seismic design level. Utility networks: empirical and + analytical fragility relations for individual components (buried pipelines, storage + tanks, compression stations, pumping stations) with appropriate typology classification, + damage scale, and intensity measure per component. Transportation: new curves for + tunnels in alluvial soil, road on embankments/trenches, bridge abutments using PGA. + Critical facilities: new analytical fragility curves for waterfront/retaining structures + considering soil-structure response; hospital system fragility using fault tree + analysis of structural, architectural, and non-structural components. The prototype + software OOFIMS implements the systemic analysis using Object-Oriented Matlab, integrated + into the EQvis platform.' +exposure: null +extra_attributions: +- email: null + id: attribution_funder + name: European Commission FP7 Programme (Environment, including Climate Change) + role: funder + url: https://cordis.europa.eu/project/id/244061 +hazard: null +license: open +loss: null +project: + name: SYNER-G - Systemic Seismic Vulnerability and Risk Analysis (EU FP7, Grant + No. 244061) + url: https://cordis.europa.eu/project/id/244061 +publisher: + email: null + id: attribution_publisher + name: Aristotle University of Thessaloniki (AUTH) + url: https://www.auth.gr +purpose: Systemic seismic vulnerability and risk assessment at urban and regional + level, accounting for inter- and intra-system dependencies between buildings, utility + networks, transportation networks, and critical facilities. The fragility functions + enable probabilistic assessment of physical damage, functionality loss, and socio-economic + impacts from earthquakes across multiple interdependent infrastructure systems. +resources: +- coordinate_system: null + description: 'SYNER-G fragility functions available through the OpenVulnerability + platform (Collection #7). The collection contains fragility curves for buildings + (RC, masonry, DG1-DG5), bridges (yielding/near collapse), utility network components + (EPN substations/lines, WSS pumping stations/pipelines, GAS pipelines/stations), + transportation elements (tunnels, embankments, bridge abutments), and critical + facilities (harbors, hospitals). Original project data documented across seven + JRC Reference Reports (DOIs: 10.2788/19605 for fragility guidelines, 10.2788/68751 + for taxonomy). The Fragility Function Manager tool is bundled as electronic supplement + to Springer Book Vol. 27 (DOI: 10.1007/978-94-007-7872-6). Some project deliverable + PDFs (D3.1, D3.2, D3.5, D3.7, D3.12) remain accessible via VCE archive. The original + project website (www.syner-g.eu) is offline.' + download_url: https://openvulnerability.robertogentile.org/products/collection/7 + format: CSV (csv) + id: resource_synerg_openvulnerability + media_type: null + spatial_resolution: null + temporal: null + title: SYNER-G Fragility Functions Collection +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-eur_auth_synergfragility +spatial: + countries: + - AUT + - GRC + - ITA + scale: regional +title: SYNER-G Fragility Functions for Buildings, Lifeline Networks and Infrastructures +version: '1.0' +vulnerability: + approach: analytical, empirical + base_data_type: inferred, simulated + category: buildings, infrastructure + dimension: '' + function_type: '' + hazard_analysis_type: probabilistic + hazard_primary: earthquake + hazard_process_primary: ground_motion + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: probability + relationship: math_parametric + taxonomy: Custom + unit: '' +--- diff --git a/_datasets/rdls_vln-eur_gem_esrm20vulnerability.md b/_datasets/rdls_vln-eur_gem_esrm20vulnerability.md new file mode 100644 index 000000000..5a28b6815 --- /dev/null +++ b/_datasets/rdls_vln-eur_gem_esrm20vulnerability.md @@ -0,0 +1,140 @@ +--- +catalog: null +contact_point: + email: efehr.risk@sed.ethz.ch + id: attribution_contact + name: EFEHR Risk Group, ETH Zurich + url: null +creator: + email: null + id: attribution_creator + name: X. Romao, N. Pereira, J.M. Castro, H. Crowley, V. Silva, L. Martins, F. De + Maio + url: https://doi.org/10.5281/zenodo.4062410 +dataset_id: rdls_vln-eur_gem_esrm20vulnerability +description: 'Seismic vulnerability models for European buildings developed for the + European Seismic Risk Model 2020 (ESRM20). The dataset contains capacity curves, + fragility functions (lognormal parameters for four damage states), and vulnerability + functions (economic loss ratios, loss-of-life probabilities, and injury severity + rates) for 511 building typologies classified using the GEM Building Taxonomy v2.0. + Functions are provided for four seismic intensity measures: PGA, SA(0.3s), SA(0.6s), + and SA(1.0s). Developed under the Horizon 2020 SERA project.' +details: 'The vulnerability functions are derived from nonlinear dynamic analysis + of single-degree-of-freedom (SDOF) models using GEM''s Vulnerability Modeller''s + Toolkit (VMTK). Capacity curves define the force-displacement relationship for each + building typology. Fragility functions express the probability of exceeding each + of four damage states (DS1-DS4: slight to complete) as a function of ground motion + intensity, parameterised as lognormal distributions (median and dispersion). Vulnerability + functions express expected loss ratios (economic) and casualty rates (fatality and + four injury severity levels) as continuous functions of intensity.' +exposure: null +extra_attributions: [] +hazard: null +license: CC-BY-4.0 +loss: null +project: + name: European Seismic Risk Model 2020 (ESRM20), Horizon 2020 SERA Project + url: https://gitlab.seismo.ethz.ch/efehr/esrm20_vulnerability +publisher: + email: null + id: attribution_publisher + name: ETH Zurich - Swiss Seismological Service (SED) + url: https://www.seismo.ethz.ch +purpose: Seismic risk assessment for European buildings. The vulnerability models + relate ground shaking intensity to expected structural damage, economic loss, fatality + rates, and injury severity for 73 building typology classes across 1-12 storey heights. +resources: +- coordinate_system: null + description: 'Complete repository containing seismic vulnerability models for 511 + European building typologies (73 structural classes, heights H1-H12). Includes: + (1) Capacity curves - 511 CSV files of spectral displacement vs acceleration per + typology; (2) Fragility functions - lognormal parameters (median and dispersion) + for four damage states (DS1-DS4) across four intensity measures (PGA, SA 0.3s, + SA 0.6s, SA 1.0s) in Excel format; (3) Vulnerability functions - mean damage ratio + (economic), loss-of-life probability, and injury probability (four severity levels) + as continuous functions of intensity in Excel format; (4) Damage-to-loss models + - fatality and injury models mapping damage states to casualty probabilities per + typology in Excel format; (5) European Building Vulnerability Database - literature + review of 831 published vulnerability studies in Excel format; (6) Processing + scripts - Python scripts and GEM Vulnerability Modeller''s Toolkit (VMTK) for + reproducing the analysis. Data formats: CSV (.csv), Excel (.xlsx), Python (.py).' + download_url: https://doi.org/10.5281/zenodo.4062410 + format: Excel (xlsx) + id: resource_esrm20_vulnerability + media_type: null + spatial_resolution: null + temporal: null + title: ESRM20 Vulnerability Models Repository +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-eur_gem_esrm20vulnerability +spatial: + bbox: + - -25 + - 34 + - 45 + - 72 + countries: + - ALB + - AND + - AUT + - BEL + - BGR + - BIH + - CHE + - CYP + - CZE + - DEU + - DNK + - ESP + - EST + - FIN + - FRA + - GBR + - GRC + - HRV + - HUN + - IRL + - ISL + - ITA + - LIE + - LTU + - LUX + - LVA + - MDA + - MKD + - MLT + - MNE + - NLD + - NOR + - POL + - PRT + - ROU + - SMR + - SRB + - SVK + - SVN + - SWE + - TUR + - UKR + scale: regional +title: European Building Vulnerability Database - ESRM20 Vulnerability Models v2.1 +version: '2.1' +vulnerability: + approach: analytical, empirical + base_data_type: inferred, simulated + category: buildings + dimension: '' + function_type: '' + hazard_analysis_type: probabilistic + hazard_primary: earthquake + hazard_process_primary: ground_motion + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: casualty_ratio_vulnerability, damage_ratio, mean_damage_ratio, probability + relationship: discrete, math_bespoke, math_parametric + taxonomy: Custom + unit: '' +--- diff --git a/_datasets/rdls_vln-gem_globalvulnerabilitymodel.md b/_datasets/rdls_vln-gem_globalvulnerabilitymodel.md new file mode 100644 index 000000000..2785cb6f4 --- /dev/null +++ b/_datasets/rdls_vln-gem_globalvulnerabilitymodel.md @@ -0,0 +1,101 @@ +--- +catalog: null +contact_point: + email: product@globalquakemodel.org + id: attribution_contact + name: GEM Foundation + url: null +creator: + email: null + id: attribution_creator + name: A.M.B. Nafeh, K. Aljawhari, V. Silva + url: https://github.com/gem/global_vulnerability_model +dataset_id: rdls_vln-gem_globalvulnerabilitymodel +description: 'Global seismic vulnerability functions for 215 countries and territories + developed by GEM Foundation for use in the Global Risk Model. The dataset provides + four types of vulnerability functions per country: (1) structural damage ratio, + (2) non-structural damage ratio, (3) contents damage ratio, and (4) fatality ratio. + Functions are defined for building typologies classified using GEM Building Taxonomy + v3.2, with intensity measures selected by building height: PGA for low-rise (H1-H2), + SA(0.3s) for mid-rise (H3-H5), and SA(1.0s) for high-rise (H8+). Each function is + a 50-point discretisation of a Beta distribution relating ground-motion intensity + (0.05-10 g) to mean loss ratio and coefficient of variation. Country-specific taxonomy + mappings link exposure model building classes to vulnerability model classes. Developed + using the OpenQuake Vulnerability Modeller''s Toolkit (OQ-VMTK) from representative + multi-degree-of-freedom stick models.' +details: Vulnerability functions are derived from nonlinear time-history analysis + of representative multi-degree-of-freedom (MDOF) stick models for each building + class using the OQ-VMTK. Models capture material characteristics, structural system + type, building height, code level, and ductility. The 215 country-specific models + are consistent with the master branch of the Global Exposure Model (Yepes-Estrada + et al., 2023). Each country contains 12-556 vulnerability functions per loss type, + reflecting local building stock diversity. European countries have the most detailed + models (556 functions). All functions use Beta distribution (BT) for loss ratio + uncertainty. +exposure: null +extra_attributions: [] +hazard: null +license: CC-BY-NC-SA-4.0 +loss: null +project: + name: GEM Global Earthquake Risk Model + url: https://www.globalquakemodel.org/gem-maps/global-earthquake-risk-map +publisher: + email: null + id: attribution_publisher + name: GEM Foundation (Global Earthquake Model) + url: https://www.globalquakemodel.org +purpose: Sub-national, national, and regional seismic risk assessment. The vulnerability + functions quantify average annual loss ratios (AALR) for structural components, + non-structural components, building contents, and occupant fatalities across 215 + countries. +resources: +- coordinate_system: null + description: "Complete repository containing seismic vulnerability models for 215\ + \ countries across 12 world regions. Per country: (1) taxonomy_mapping CSV \u2014\ + \ maps exposure building classes to vulnerability model classes using GEM Building\ + \ Taxonomy v3.2; (2) vulnerability_structural.xml \u2014 structural damage ratios\ + \ in OpenQuake NRML v0.5 format; (3) vulnerability_nonstructural.xml \u2014 non-structural\ + \ damage ratios; (4) vulnerability_contents.xml \u2014 contents damage ratios;\ + \ (5) vulnerability_fatalities.xml \u2014 occupant fatality ratios. Total: 860\ + \ XML files + 215 CSV files (241 MB). Data formats: XML (.xml, OpenQuake NRML\ + \ v0.5), CSV (.csv)." + download_url: https://github.com/gem/global_vulnerability_model/releases + format: XML (xml) + id: resource_gvm_repository + media_type: null + spatial_resolution: null + temporal: null + title: GEM Global Vulnerability Model Repository +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-gem_globalvulnerabilitymodel +spatial: + bbox: + - -180 + - -90 + - 180 + - 90 + countries: + - GLO + scale: global +title: GEM Global Vulnerability Model v2025.0.0 +version: 2025.0.0 +vulnerability: + approach: analytical + base_data_type: simulated + category: buildings + dimension: '' + function_type: '' + hazard_analysis_type: probabilistic + hazard_primary: earthquake + hazard_process_primary: ground_motion + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: casualty_ratio_vulnerability, damage_ratio + relationship: math_parametric + taxonomy: GED4ALL + unit: '' +--- diff --git a/_datasets/rdls_vln-idn_etris_tsunamivulnerability.md b/_datasets/rdls_vln-idn_etris_tsunamivulnerability.md new file mode 100644 index 000000000..02c66f782 --- /dev/null +++ b/_datasets/rdls_vln-idn_etris_tsunamivulnerability.md @@ -0,0 +1,94 @@ +--- +catalog: null +contact_point: + email: null + id: attribution_contact + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +creator: + email: null + id: attribution_creator + name: ETRiS Research Team, University of Naples Federico II + url: https://github.com/eurotsunamirisk +dataset_id: rdls_vln-idn_etris_tsunamivulnerability +description: 'Empirical tsunami vulnerability and fragility curves for Indonesia derived + from the 2018 Sulawesi Tsunami post-event survey data. Contains 4 unique vulnerability + curves and 4 unique fragility curves for non-engineered building types: light timber, + masonry unknown (1 storey), unreinforced clay brick masonry (1 storey and 2 storey). + Each in 3 model variants (logit, probit, cloglog). Developed by the European Tsunami + Risk Service (ETRiS).' +details: 'Building types: Non-engineered light timber, Masonry unknown 1-storey, Non-engineered + unreinforced clay brick masonry 1-storey, Non-engineered unreinforced clay brick + masonry 2-storey. Fragility: 2 damage states (D2, D3). Vulnerability: damage ratio + with epistemic uncertainty bounds. Three link function variants: M1 (logit), M2 + (probit), M3 (cloglog).' +exposure: null +extra_attributions: [] +hazard: null +license: CC0-1.0 +loss: null +project: + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +publisher: + email: null + id: attribution_publisher + name: ETRiS - European Tsunami Risk Service, University of Naples Federico II + url: https://eurotsunamirisk.org/ +purpose: Tsunami risk assessment for non-engineered buildings in Indonesia. Functions + calibrated for low-rise non-engineered construction typical of coastal Indonesian + communities. +resources: +- coordinate_system: null + description: 'Vulnerability and fragility curve CSV files for the Sulawesi Tsunami + 2018. 4 unique curves x 3 model variants vulnerability curves and 4 unique curves + x 3 model variants fragility curves. Building types: Non-engineered timber, masonry + (unreinforced clay brick 1/2 storey).' + download_url: https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip + format: CSV (csv) + id: resource_etris_idn + media_type: null + spatial_resolution: null + temporal: null + title: ETRiS Data Products - Sulawesi Tsunami 2018 +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-idn_etris_tsunamivulnerability +spatial: + countries: + - IDN + gazetteer_entries: + - description: Sulawesi Tengah (Central Sulawesi) + id: gaz_sulawesi_tengah + scheme: GEONAMES + uri: geonames.org/1626231/sulawesi-tengah.html + - description: Palu + id: gaz_palu + scheme: GEONAMES + uri: geonames.org/1633034/palu.html + - description: Donggala Regency + id: gaz_donggala + scheme: GEONAMES + uri: geonames.org/7558728/donggala.html + scale: sub-national +title: ETRiS Tsunami Vulnerability and Fragility Functions - Indonesia (2018 Sulawesi + Tsunami) +version: 1.0.0 +vulnerability: + approach: empirical + base_data_type: observed + category: buildings + dimension: '' + function_type: '' + hazard_analysis_type: deterministic + hazard_primary: tsunami + hazard_process_primary: tsunami + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: damage_ratio, probability + relationship: math_parametric + taxonomy: GED4ALL + unit: '' +--- diff --git a/_datasets/rdls_vln-ita_reluis_rintcfragility.md b/_datasets/rdls_vln-ita_reluis_rintcfragility.md new file mode 100644 index 000000000..8342076bb --- /dev/null +++ b/_datasets/rdls_vln-ita_reluis_rintcfragility.md @@ -0,0 +1,108 @@ +--- +catalog: null +contact_point: + email: null + id: attribution_editor + name: Eugenio Chioccarelli (Univ. Mediterranea di Reggio Calabria), Iunio Iervolino + (Univ. di Napoli Federico II) + url: https://www.reluis.it/en/rintc-dff/ +creator: + email: null + id: attribution_creator + name: ReLUIS Working Group WP3 (2014-2022) + url: https://www.reluis.it/en/rintc-dff/ +dataset_id: rdls_vln-ita_reluis_rintcfragility +description: 'Lognormal seismic fragility functions for Italian buildings and bridges, + developed under the RINTC project (Implicit Seismic Risk of Code-Conforming Structures, + 2014-2022). The database contains 647 fragility function entries covering five construction + material types (unreinforced masonry, reinforced concrete, base-isolated RC, precast + concrete, steel) and bridges. Functions are provided for both code-conforming structures + (designed per NTC2008/NTC2018) and existing/retrofitted structures (designed per + previous Italian codes from pre-1920 to 1990s). Each function is parameterised as + a lognormal distribution (median eta and dispersion beta) for two performance levels: + Usability Preventing Damage (UPD) and Global Collapse (GC) or Severe Damage (SD + for bridges). Intensity measures are spectral accelerations Sa(T) at periods from + 0.15s to 3.0s. Over 300 structures were analysed at five representative Italian + sites (L''Aquila, Catania, Naples, Rome, Milan) with varying seismic hazard levels + using nonlinear dynamic analysis of 3D numerical models.' +details: 'Fragility functions were derived from nonlinear dynamic analyses of three-dimensional + numerical models. The database is organised in 11 data sheets: code-conforming and + evolution (existing/retrofitted) sheets for each of URM (90+50 entries), RC (84+144), + BI (12+24), PRC (51+26), Steel (96+40), plus Bridges (30). Structural metadata includes + construction material, design code era, design PGA, site, soil class, number of + stories, regularity, and structural details specific to each type. Curve fitting + methods include Maximum Likelihood (ML), Normal Probability Plot (NPP), Least Squares + Fitting (LSF), and Direct assignment (D). URM entries include 13 masonry subtypes; + RC entries distinguish moment-resisting frames from shear walls with optional soil-structure + interaction; BI entries specify isolation system type (FPS, HDRB, HDRB+S); PRC entries + specify beam-column connection and cladding type; Steel entries include plan dimensions + and bracing configuration; Bridge entries specify structural typology, pier characteristics, + and height.' +exposure: null +extra_attributions: +- email: null + id: attribution_funder + name: Italian Department of Civil Protection (DPC) + role: funder + url: https://www.protezionecivile.gov.it +hazard: null +license: CC-BY-ND-4.0 +loss: null +project: + name: RINTC - Implicit Seismic Risk of Code-Conforming Structures (ReLUIS-DPC 2014-2022) + url: https://www.reluis.it/en/rintc-dff/ +publisher: + email: null + id: attribution_publisher + name: ReLUIS - Rete dei Laboratori Universitari di Ingegneria Sismica + url: https://www.reluis.it +purpose: Quantification of the implicit seismic risk (annual failure rate) of Italian + structures designed according to current and past Italian building codes, enabling + comparison of seismic performance across design eras and structural types. +resources: +- coordinate_system: null + description: 'Single Excel workbook containing 647 lognormal fragility function + entries across 11 data sheets, plus About and Format documentation sheets. Data + sheets are organised by construction material (URM, RC, BI, PRC, Steel, Bridges) + and design category (code-conforming vs evolution/existing). Each entry provides: + structural metadata (material, masonry type, design code/era, design PGA, site, + soil class, stories, regularity, structural details), analysis metadata (performance + level, curve fitting method, intensity measure), fragility parameters (eta median + in g, beta dispersion), and publication references with hyperlinks. Intensity + measures: Sa(0.15s) to Sa(3.0s). Performance levels: UPD (Usability Preventing + Damage), GC (Global Collapse), SD (Severe Damage for bridges).' + download_url: https://www.reluis.it/en/rintc-dff/ + format: Excel (xlsx) + id: resource_rintc_database + media_type: null + spatial_resolution: null + temporal: null + title: RINTC Database of Fragility Functions (Excel) +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-ita_reluis_rintcfragility +spatial: + countries: + - ITA + scale: national +title: RINTC Database of Fragility Functions v1.0 (beta) - Italian Seismic Building + and Bridge Fragility +version: 1.0-beta +vulnerability: + approach: analytical + base_data_type: simulated + category: buildings, infrastructure + dimension: '' + function_type: '' + hazard_analysis_type: probabilistic + hazard_primary: earthquake + hazard_process_primary: ground_motion + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: probability + relationship: math_parametric + taxonomy: Custom + unit: '' +--- diff --git a/_datasets/rdls_vln-itc_riskchangesvulnerability.md b/_datasets/rdls_vln-itc_riskchangesvulnerability.md new file mode 100644 index 000000000..1ed5c1dd1 --- /dev/null +++ b/_datasets/rdls_vln-itc_riskchangesvulnerability.md @@ -0,0 +1,96 @@ +--- +catalog: null +contact_point: + email: c.j.vanwesten@utwente.nl + id: attribution_contact + name: Dr C.J. van Westen, University of Twente + url: null +creator: + email: null + id: attribution_creator + name: C.J. van Westen, W.H. Bakker, V. Andrejchenko, K. Zhang, J. Berlin, I. Cristal, + R. Olyazadeh + url: https://github.com/RiskChanges +dataset_id: rdls_vln-itc_riskchangesvulnerability +description: Discrete vulnerability functions for buildings exposed to flood and tropical + cyclone hazards, developed as part of the RiskChanges Spatial Decision Support System + (SDSS). The dataset provides mean damage degree (MDD) curves on a 0-1 scale for + 7 building types under flood hazard (water depth, m) and 6 building types under + tropical cyclone hazard (wind speed, m/s). Building types include residential, commercial, + industrial, church, school, hospital, and governmental buildings. The vulnerability + curves are generic and transferable, designed to be applied across different geographic + contexts within the RiskChanges platform. They have been used in multiple case studies + including Nocera (Italy), Bangladesh, and Dominica (Caribbean). RiskChanges was + developed under the CHANGES Initial Training Network (EU FP7, Grant No. 263953) + coordinated by ITC, University of Twente. +details: Physical vulnerability is measured as mean damage degree (MDD) on a scale + from 0 (no damage) to 1 (complete destruction), defined per building type and hazard + type. The curves are provided as discrete intensity-damage pairs. Flood curves cover + water depths from 0 to 10 m across 7 building types with varying resilience profiles + (residential buildings reach total damage at 2 m depth, while hospitals and schools + remain below total damage up to 10 m). Tropical cyclone curves cover wind speeds + from 0 to 120 m/s across 6 building types. The platform supports a shared vulnerability + database where public curves can be reused across projects and geographic contexts. +exposure: null +extra_attributions: [] +hazard: null +license: open +loss: null +project: + name: CHANGES - Changing Hydro-meteorological Risks (EU FP7, Grant No. 263953) + url: https://riskchanges.org +publisher: + email: null + id: attribution_publisher + name: ITC, Faculty of Geo-Information Science and Earth Observation, University + of Twente + url: https://www.itc.nl +purpose: Multi-hazard risk assessment within the RiskChanges SDSS platform. The vulnerability + functions relate hazard intensity (water depth for flood, wind speed for tropical + cyclone) to expected physical damage ratio for common building types, supporting + loss estimation and risk reduction planning. +resources: +- coordinate_system: null + description: 'Single Excel workbook containing discrete vulnerability curves for + two hazard types. Sheet 1 (Flood_vulnerability_curve): 84 data points for 7 building + types - residential (9 pts), commercial (9), industrial (9), church (16), school + (13), hospital (14), governmental (14) - with water depth intensity from 0 to + 10 m. Sheet 2 (TC_vulnerability_curve): 129 data points for 6 building types - + residential and church (25 pts), commercial (26), industrial (15), school (14), + hospital (26), governmental (23) - with wind speed intensity from 0 to 120 m/s. + Columns: intensity, mdd (mean damage degree 0-1), Hazard_type (FL/TC), intensity_unit + (m or m/s), name (building type).' + download_url: https://raw.githubusercontent.com/RiskChanges/RiskChangesDesktop/main/sampleData/Data_for_RiskChange_SDSS/Vulnerability_function.xlsx + format: Excel (xlsx) + id: resource_vulnerability_functions + media_type: null + spatial_resolution: null + temporal: null + title: RiskChanges Vulnerability Functions (Excel) +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-itc_riskchangesvulnerability +spatial: + countries: + - GLO + scale: global +title: RiskChanges Vulnerability Functions - Flood and Tropical Cyclone +version: '1.0' +vulnerability: + approach: empirical + base_data_type: inferred + category: buildings + dimension: '' + function_type: '' + hazard_analysis_type: deterministic + hazard_primary: flood, strong_wind + hazard_process_primary: fluvial_flood, tropical_cyclone + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: damage_ratio + relationship: discrete + taxonomy: Custom + unit: '' +--- diff --git a/_datasets/rdls_vln-jpn_etris_tsunamivulnerability.md b/_datasets/rdls_vln-jpn_etris_tsunamivulnerability.md new file mode 100644 index 000000000..2d18541e1 --- /dev/null +++ b/_datasets/rdls_vln-jpn_etris_tsunamivulnerability.md @@ -0,0 +1,96 @@ +--- +catalog: null +contact_point: + email: null + id: attribution_contact + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +creator: + email: null + id: attribution_creator + name: ETRiS Research Team, University of Naples Federico II + url: https://github.com/eurotsunamirisk +dataset_id: rdls_vln-jpn_etris_tsunamivulnerability +description: Empirical tsunami vulnerability and fragility curves for Japan derived + from the 2011 Tohoku Tsunami post-event survey data. Contains 25 unique vulnerability + curves and 25 unique fragility curves covering residential buildings (RC at 1/2/3+ + storeys, Wood at 1/2/3+ storeys, Steel, plus aggregates) and 8 industrial facility + types (Chemical, Petrochemical, Manufacturing, Cargo Handling, Energy, Food, Warehouse/Distribution, + Construction Materials, each with Building and Infrastructure variants). Each curve + in 3 model variants (logit, probit, cloglog). Developed by the European Tsunami + Risk Service (ETRiS). +details: 'Residential: RC (all, 1/2/3+ storey), Wood (all, 1/2/3+ storey), Steel. + Industrial: Chemical, Petrochemical, Manufacturing, Cargo Handling, Energy Related, + Food, Warehouse/Distribution, Construction Materials (each with Building [B] and + Infrastructure [I] variants). Residential fragility uses Modified MLIT scale (D1-D6). + Industrial fragility uses 3 damage states (D1-D3). Bayesian Model Class Selection + files provided.' +exposure: null +extra_attributions: [] +hazard: null +license: CC0-1.0 +loss: null +project: + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +publisher: + email: null + id: attribution_publisher + name: ETRiS - European Tsunami Risk Service, University of Naples Federico II + url: https://eurotsunamirisk.org/ +purpose: Tsunami risk assessment for residential buildings and industrial infrastructure + in Japan. The functions relate tsunami flow depth to structural damage ratios and + damage state exceedance probabilities for detailed building typologies. +resources: +- coordinate_system: null + description: 'Vulnerability and fragility curve CSV files for the Tohoku Tsunami + 2011. 25 unique curves x 3 model variants vulnerability curves and 25 unique curves + x 3 model variants fragility curves. Building types: RC (1/2/3+ storey), Wood + (1/2/3+ storey), Steel, 8 industrial types (B/I variants).' + download_url: https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip + format: CSV (csv) + id: resource_etris_jpn + media_type: null + spatial_resolution: null + temporal: null + title: ETRiS Data Products - Tohoku Tsunami 2011 +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-jpn_etris_tsunamivulnerability +spatial: + countries: + - JPN + gazetteer_entries: + - description: Miyagi Prefecture + id: gaz_miyagi + scheme: GEONAMES + uri: geonames.org/2111888/miyagi-ken.html + - description: Iwate Prefecture + id: gaz_iwate + scheme: GEONAMES + uri: geonames.org/2112518/iwate-ken.html + - description: Fukushima Prefecture + id: gaz_fukushima + scheme: GEONAMES + uri: geonames.org/2112922/fukushima-ken.html + scale: sub-national +title: ETRiS Tsunami Vulnerability and Fragility Functions - Japan (2011 Tohoku Tsunami) +version: 1.0.0 +vulnerability: + approach: empirical + base_data_type: observed + category: buildings, infrastructure + dimension: '' + function_type: '' + hazard_analysis_type: deterministic + hazard_primary: tsunami + hazard_process_primary: tsunami + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: damage_ratio, probability + relationship: math_parametric + taxonomy: GED4ALL + unit: '' +--- diff --git a/_datasets/rdls_vln-lka_etris_tsunamivulnerability.md b/_datasets/rdls_vln-lka_etris_tsunamivulnerability.md new file mode 100644 index 000000000..7021caec1 --- /dev/null +++ b/_datasets/rdls_vln-lka_etris_tsunamivulnerability.md @@ -0,0 +1,161 @@ +--- +catalog: null +contact_point: + email: null + id: attribution_contact + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +creator: + email: null + id: attribution_creator + name: ETRiS Research Team, University of Naples Federico II + url: https://github.com/eurotsunamirisk +dataset_id: rdls_vln-lka_etris_tsunamivulnerability +description: 'Empirical tsunami vulnerability and fragility curves for Sri Lanka derived + from the 2004 Indian Ocean Tsunami post-event survey data. Contains 21 unique vulnerability + curves and 21 unique fragility curves organized by coastal location (20 specific + areas plus TotalArea aggregate): Ambalangoda, Balapitiya, Bentota, Beruwala, Colombo, + Dehiwala, Devinuwara, Dickwella, Galle, Habaraduwa, Hikkaduwa, Kalutara, Matara, + Moratuwa, Negombo, Panadura, Rathmalana, Thimbirigasyaya, Wattala, Weligama. Each + in 3 model variants. Developed by the European Tsunami Risk Service (ETRiS).' +details: 'Curves classified by coastal location rather than building type. 20 specific + coastal areas plus 1 aggregate (TotalArea). Fragility: 1 damage state (D1). Vulnerability: + damage ratio with epistemic uncertainty bounds. Three link function variants: M1 + (logit), M2 (probit), M3 (cloglog).' +exposure: null +extra_attributions: [] +hazard: null +license: CC0-1.0 +loss: null +project: + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +publisher: + email: null + id: attribution_publisher + name: ETRiS - European Tsunami Risk Service, University of Naples Federico II + url: https://eurotsunamirisk.org/ +purpose: Tsunami risk assessment for buildings along the Sri Lankan coast. Location-specific + curves account for local construction characteristics and tsunami exposure patterns. +resources: +- coordinate_system: null + description: 'Vulnerability and fragility curve CSV files for the Indian Ocean Tsunami + 2004. 21 unique curves x 3 model variants vulnerability curves and 21 unique curves + x 3 model variants fragility curves. Building types: 20 coastal locations + TotalArea + aggregate.' + download_url: https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip + format: CSV (csv) + id: resource_etris_lka + media_type: null + spatial_resolution: null + temporal: null + title: ETRiS Data Products - Indian Ocean Tsunami 2004 +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-lka_etris_tsunamivulnerability +spatial: + countries: + - LKA + gazetteer_entries: + - description: Ambalangoda + id: gaz_ambalangoda + scheme: GEONAMES + uri: geonames.org/1251574/ambalangoda.html + - description: Balapitiya + id: gaz_balapitiya + scheme: GEONAMES + uri: geonames.org/1250497/balapitiya.html + - description: Bentota + id: gaz_bentota + scheme: GEONAMES + uri: geonames.org/1249978/bentota.html + - description: Beruwala + id: gaz_beruwala + scheme: GEONAMES + uri: geonames.org/1249931/beruwala.html + - description: Colombo + id: gaz_colombo + scheme: GEONAMES + uri: geonames.org/1248991/colombo.html + - description: Dehiwala-Mount Lavinia + id: gaz_dehiwala + scheme: GEONAMES + uri: geonames.org/1234569/dehiwala-mount-lavinia.html + - description: Devinuwara + id: gaz_devinuwara + scheme: GEONAMES + uri: geonames.org/1248158/devinuwara.html + - description: Dickwella + id: gaz_dickwella + scheme: GEONAMES + uri: geonames.org/1247903/dickwella.html + - description: Galle + id: gaz_galle + scheme: GEONAMES + uri: geonames.org/1246294/galle.html + - description: Habaraduwa + id: gaz_habaraduwa + scheme: GEONAMES + uri: geonames.org/1245173/habaraduwa.html + - description: Hikkaduwa + id: gaz_hikkaduwa + scheme: GEONAMES + uri: geonames.org/1244178/hikkaduwa.html + - description: Kalutara + id: gaz_kalutara + scheme: GEONAMES + uri: geonames.org/1241964/kalutara.html + - description: Matara + id: gaz_matara + scheme: GEONAMES + uri: geonames.org/1235846/matara.html + - description: Moratuwa + id: gaz_moratuwa + scheme: GEONAMES + uri: geonames.org/1234633/moratuwa.html + - description: Negombo + id: gaz_negombo + scheme: GEONAMES + uri: geonames.org/1233369/negombo.html + - description: Panadura + id: gaz_panadura + scheme: GEONAMES + uri: geonames.org/1231410/panadura.html + - description: Rathmalana + id: gaz_rathmalana + scheme: GEONAMES + uri: geonames.org/1228793/ratmalana.html + - description: Thimbirigasyaya + id: gaz_thimbirigasyaya + scheme: GEONAMES + uri: geonames.org/11983757/thimbirigasyaya.html + - description: Wattala + id: gaz_wattala + scheme: GEONAMES + uri: geonames.org/1224085/wattala.html + - description: Weligama + id: gaz_weligama + scheme: GEONAMES + uri: geonames.org/1223738/weligama.html + scale: sub-national +title: ETRiS Tsunami Vulnerability and Fragility Functions - Sri Lanka (2004 Indian + Ocean Tsunami) +version: 1.0.0 +vulnerability: + approach: empirical + base_data_type: observed + category: buildings + dimension: '' + function_type: '' + hazard_analysis_type: deterministic + hazard_primary: tsunami + hazard_process_primary: tsunami + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: damage_ratio, probability + relationship: math_parametric + taxonomy: GED4ALL + unit: '' +--- diff --git a/_datasets/rdls_vln-prt_etris_tsunamivulnerability.md b/_datasets/rdls_vln-prt_etris_tsunamivulnerability.md new file mode 100644 index 000000000..fdc7ba617 --- /dev/null +++ b/_datasets/rdls_vln-prt_etris_tsunamivulnerability.md @@ -0,0 +1,85 @@ +--- +catalog: null +contact_point: + email: null + id: attribution_contact + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +creator: + email: null + id: attribution_creator + name: ETRiS Research Team, University of Naples Federico II + url: https://github.com/eurotsunamirisk +dataset_id: rdls_vln-prt_etris_tsunamivulnerability +description: Empirical tsunami fatality vulnerability curve for Portugal derived from + the 1755 Lisbon Tsunami historical data. Contains 1 fatality probability curve relating + tsunami run-up height to probability of fatality, in 3 statistical model variants + (logit, probit, cloglog). This is a population vulnerability curve, not a structural + damage curve. Developed by the European Tsunami Risk Service (ETRiS). +details: 'Fatality probability curve based on historical records. Intensity measure: + run-up height (m). Output: probability of fatality. No building taxonomy. Three + link function variants: M1 (logit), M2 (probit), M3 (cloglog) with epistemic uncertainty + bounds.' +exposure: null +extra_attributions: [] +hazard: null +license: CC0-1.0 +loss: null +project: + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +publisher: + email: null + id: attribution_publisher + name: ETRiS - European Tsunami Risk Service, University of Naples Federico II + url: https://eurotsunamirisk.org/ +purpose: Tsunami fatality risk assessment. The function relates tsunami run-up height + to probability of fatality for exposed population. +resources: +- coordinate_system: null + description: 'Vulnerability and fragility curve CSV files for the Lisbon Tsunami + 1755. 1 unique curve x 3 model variants vulnerability curves and None fragility + curves. Building types: N/A (population fatality curve).' + download_url: https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip + format: CSV (csv) + id: resource_etris_prt + media_type: null + spatial_resolution: null + temporal: null + title: ETRiS Data Products - Lisbon Tsunami 1755 +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-prt_etris_tsunamivulnerability +spatial: + countries: + - PRT + gazetteer_entries: + - description: Distrito de Lisboa + id: gaz_lisboa + scheme: GEONAMES + uri: geonames.org/2267056/distrito-de-lisboa.html + - description: Lisbon + id: gaz_lisbon + scheme: GEONAMES + uri: geonames.org/2267057/lisbon.html + scale: sub-national +title: ETRiS Tsunami Fatality Vulnerability Function - Portugal (1755 Lisbon Tsunami) +version: 1.0.0 +vulnerability: + approach: empirical + base_data_type: observed + category: population + dimension: '' + function_type: '' + hazard_analysis_type: deterministic + hazard_primary: tsunami + hazard_process_primary: tsunami + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: casualty_ratio_vulnerability + relationship: math_parametric + taxonomy: GED4ALL + unit: '' +--- diff --git a/_datasets/rdls_vln-ucl_mvdatvulnerability.md b/_datasets/rdls_vln-ucl_mvdatvulnerability.md new file mode 100644 index 000000000..36236af63 --- /dev/null +++ b/_datasets/rdls_vln-ucl_mvdatvulnerability.md @@ -0,0 +1,99 @@ +--- +catalog: null +contact_point: + email: epicentre-enquiries@ucl.ac.uk + id: attribution_contact + name: EPICentre, UCL + url: null +creator: + email: null + id: attribution_creator + name: EPICentre Researchers, University College London (UCL) + url: https://www.ucl.ac.uk/epicentre/resources/mvdat-online-repository +dataset_id: rdls_vln-ucl_mvdatvulnerability +description: 'Online repository of harmonised multi-hazard fragility and vulnerability + models developed by EPICentre researchers at University College London (UCL). The + database contains 24 functions: 14 vulnerability functions (6 flood, 8 wind) and + 10 fragility functions (4 earthquake, 3 landslide/tsunami, 3 wind). Functions are + entered using a bespoke vulnerability data standard built on the MOVER framework + and aligned with the Risk Data Library and GED4ALL taxonomy. All functions receive + quality scores based on criteria from Rossetto et al. (2013) and are verified by + EPICentre researchers. The functions are generic and transferable to local contexts + worldwide. Hosted on the Catastrophi Portal, a Plotly Dash web application. Developed + as part of the Geo-INQUIRE project (EU Horizon INFRA-2021-SERV-01, Grant No. 101058518).' +details: 'Vulnerability functions express expected damage ratio (MDR) as a continuous + function of hazard intensity. Fragility functions express the probability of exceeding + defined damage states as a function of intensity. The database covers four hazard + types: flood (fluvial), strong wind (tropical cyclone), earthquake (ground motion), + and landslide (lateral, shallow, tsunami). Building classifications follow the GEM + Building Taxonomy / GED4ALL. Intensity measures include flood water depth (m), 5-sec + gust wind speed (km/h), 3-sec gust wind speed (m/s), peak ground acceleration (g), + and tsunami inundation depth (m). Functions are available for individual visualization + through the portal''s Generate Graph feature but cannot currently be downloaded + in bulk. Five reference studies have been identified: Yamin et al. (2014), Custer + & Nishijima (2015), Massara et al. (2020), Fotopoulou & Pitilakis (2013), and Lahcene + et al. (2021).' +exposure: null +extra_attributions: [] +hazard: null +license: open +loss: null +project: + name: Geo-INQUIRE (WP3) - EU Horizon INFRA-2021-SERV-01, Grant No. 101058518 + url: https://cordis.europa.eu/project/id/101058518 +publisher: + email: null + id: attribution_publisher + name: EPICentre, Department of Civil, Environmental & Geomatic Engineering, University + College London (UCL) + url: https://www.ucl.ac.uk/epicentre +purpose: Multi-hazard risk assessment for buildings. The vulnerability and fragility + functions relate hazard intensity to expected damage ratio or damage state probability + for various building typologies across flood, wind, earthquake, and landslide/tsunami + hazards. Functions are transferable and intended for use in different geographic + contexts worldwide. +resources: +- coordinate_system: null + description: 'Interactive web portal (Plotly Dash application) for visualizing fragility + and vulnerability functions. Contains 24 functions: 14 vulnerability (6 flood, + 8 wind) and 10 fragility (4 earthquake, 3 landslide/tsunami, 3 wind). Functions + can be filtered by hazard type, process, intensity measure, country, construction + material, quality rating, and approach. Individual curves can be visualized via + the Generate Graph feature. Portal includes statistical summaries (pie charts + by hazard and function type), a studies timeline, and a world map of geographic + coverage. Functions cannot currently be downloaded; visualization-only access. + Hosted on free-tier Render platform (may have cold-start delays).' + download_url: https://catastrophi.onrender.com/ + format: JSON (json) + id: resource_catastrophi_portal + media_type: null + spatial_resolution: null + temporal: null + title: Catastrophi Portal - Fragility and Vulnerability Functions +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-ucl_mvdatvulnerability +spatial: + countries: + - GLO + scale: global +title: MVDat - Multi-hazard Vulnerability Database (Catastrophi Portal) +version: '1.0' +vulnerability: + approach: analytical, empirical, judgement + base_data_type: inferred, simulated + category: buildings + dimension: '' + function_type: '' + hazard_analysis_type: deterministic, probabilistic + hazard_primary: earthquake, flood, landslide, strong_wind + hazard_process_primary: fluvial_flood, ground_motion, landslide_general, tropical_cyclone + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: damage_ratio, probability + relationship: math_bespoke, math_parametric + taxonomy: GED4ALL + unit: '' +--- diff --git a/_datasets/rdls_vln-wsm_etris_tsunamivulnerability.md b/_datasets/rdls_vln-wsm_etris_tsunamivulnerability.md new file mode 100644 index 000000000..a9e181a46 --- /dev/null +++ b/_datasets/rdls_vln-wsm_etris_tsunamivulnerability.md @@ -0,0 +1,85 @@ +--- +catalog: null +contact_point: + email: null + id: attribution_contact + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +creator: + email: null + id: attribution_creator + name: ETRiS Research Team, University of Naples Federico II + url: https://github.com/eurotsunamirisk +dataset_id: rdls_vln-wsm_etris_tsunamivulnerability +description: 'Empirical tsunami vulnerability and fragility curves for Samoa derived + from the 2009 South Pacific Tsunami post-event survey data. Contains 3 unique vulnerability + curves and 3 unique fragility curves for residential building types: brick masonry, + reinforced concrete (1 storey), and timber. Each curve in 3 model variants (logit, + probit, cloglog). Fragility uses Reese damage scale (3 upper damage states: D3-D5). + Developed by the European Tsunami Risk Service (ETRiS).' +details: 'Building types: Brick masonry residential, Reinforced Concrete 1-storey + residential, Timber. Fragility: 3 damage states (D3, D4, D5) using Reese damage + scale. Vulnerability: damage ratio with epistemic uncertainty bounds. Three link + function variants: M1 (logit), M2 (probit), M3 (cloglog).' +exposure: null +extra_attributions: [] +hazard: null +license: CC0-1.0 +loss: null +project: + name: ETRiS - European Tsunami Risk Service + url: https://eurotsunamirisk.org/ +publisher: + email: null + id: attribution_publisher + name: ETRiS - European Tsunami Risk Service, University of Naples Federico II + url: https://eurotsunamirisk.org/ +purpose: Tsunami risk assessment for residential buildings in Samoa. The functions + relate tsunami flow depth to structural damage ratios and damage state exceedance + probabilities for three building typologies. +resources: +- coordinate_system: null + description: 'Vulnerability and fragility curve CSV files for the South Pacific + Tsunami 2009. 3 unique curves x 3 model variants vulnerability curves and 3 unique + curves x 3 model variants fragility curves. Building types: Brick masonry, RC + 1-storey, Timber.' + download_url: https://github.com/eurotsunamirisk/etris_data_and_data_products/archive/refs/heads/main.zip + format: CSV (csv) + id: resource_etris_wsm + media_type: null + spatial_resolution: null + temporal: null + title: ETRiS Data Products - South Pacific Tsunami 2009 +risk_data_type: +- vulnerability +schema: rdl-03 +slug: rdls_vln-wsm_etris_tsunamivulnerability +spatial: + countries: + - WSM + gazetteer_entries: + - description: Upolu Island + id: gaz_upolu + scheme: GEONAMES + uri: geonames.org/4034956/upolu.html + scale: sub-national +title: ETRiS Tsunami Vulnerability and Fragility Functions - Samoa (2009 South Pacific + Tsunami) +version: 1.0.0 +vulnerability: + approach: empirical + base_data_type: observed + category: buildings + dimension: '' + function_type: '' + hazard_analysis_type: deterministic + hazard_primary: tsunami + hazard_process_primary: tsunami + hazard_process_secondary: '' + hazard_secondary: '' + intensity: '' + metric: damage_ratio, probability + relationship: math_parametric + taxonomy: GED4ALL + unit: '' +---