Probabilistic inter-scheme compatibility matrices for buildings. An application using existing vulnerability models for earthquakes and tsunami from synthetic datasets constructed using the AeDEs form through expert-based heuristics
Cite as:
Gomez-Zapata, Juan Camilo; Pittore, Massimiliano (2022): Probabilistic inter-scheme compatibility matrices for buildings. An application using existing vulnerability models for earthquakes and tsunami from synthetic datasets constructed using the AeDEs form through expert-based heuristics. GFZ Data Services. https://doi.org/10.5880/riesgos.2022.003
Status
I N R E V I E W : Gomez-Zapata, Juan Camilo; Pittore, Massimiliano (2022): Probabilistic inter-scheme compatibility matrices for buildings. An application using existing vulnerability models for earthquakes and tsunami from synthetic datasets constructed using the AeDEs form through expert-based heuristics. GFZ Data Services. https://doi.org/10.5880/riesgos.2022.003
Abstract
This folder contains the scripts, input and output files required to calculate the inter-scheme conversion matrices for building types and the implicit damage states of their respective fragility models for two selected vulnerability schemes: one for earthquakes and the other for tsunamis. They were used in previous studies to characterize the residential building stock of Lima. The outcomes generated in this data repository are valuable inputs to then calculate the disaggregated and cumulative damage and losses expected for cascading hazard scenarios.
Additional Information
In recent decades, the risk to society due to natural hazards has increased globally. To counteract this trend, effective risk management is necessary, for which reliable information is essential. Most existing natural hazard and risk information systems address only single components of a complex risk assessment chain, such as, for instance, focusing on specific hazards or simple loss measures. Complex interactions, such as cascading effects, are typically not considered, as well as many of the underlying sources of uncertainty. This can lead to inadequate or even miss-leading risk management strategies, thus hindering efficient prevention and mitigation measures, and ultimately undermining the resilience of societies. Therefore, experts from different disciplines work together in the joint project RIESGOS 2.0 (Scenario-based multi-risk assessment in the Andes region) and develop innovative scientific methods for the evaluation of complex multi-risk situations with the aim to transfer the results as web services into a demonstrator for a multi-risk information system.
Pittore, Massimiliano;Institute for Earth Observation, EURAC Research (Accademia Europea): Bolzano, Trentino-Alto Adige, Italy
Contact
Gómez Zapata Juan Camilo
(PhD candidate); Seismic Hazard and Risk Dynamics, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473, Potsdam, Germany; ➦
Contributors
Gómez Zapata Juan Camilo
Funders
Bundesministerium für Bildung und Forschung:
CLIENT II – International Partnerships for Sustainable Innovations: RIESGOS (03G0905A-H)
Keywords
machine learning, vulnerability, multi-hazard, earthquake fragility, tsunami fragility, cumulative damage, Bayesian approach, RIESGOS, Scenario-based multi-risk assessment in the Andes region
affiliation: Institute for Earth Observation, EURAC Research (Accademia Europea): Bolzano, Trentino-Alto Adige, Italy
titles
title: Probabilistic inter-scheme compatibility matrices for buildings. An application using existing vulnerability models for earthquakes and tsunami from synthetic datasets constructed using the AeDEs form through expert-based heuristics
publisher: GFZ Data Services
publicationYear: 2022
subjects
subject: machine learning
subject: vulnerability
subject: multi-hazard
subject: earthquake fragility
subject: tsunami fragility
subject: cumulative damage
subject: Bayesian approach
subject: RIESGOS
subject: Scenario-based multi-risk assessment in the Andes region
CharacterString: Probabilistic inter-scheme compatibility matrices for buildings. An application using existing vulnerability models for earthquakes and tsunami from synthetic datasets constructed using the AeDEs form through expert-based heuristics
CharacterString: This folder contains the scripts, input and output files required to calculate the inter-scheme conversion matrices for building types and the implicit damage states of their respective fragility models for two selected vulnerability schemes: one for earthquakes and the other for tsunamis. They were used in previous studies to characterize the residential building stock of Lima. The outcomes generated in this data repository are valuable inputs to then calculate the disaggregated and cumulative damage and losses expected for cascading hazard scenarios.
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CharacterString: Gómez Zapata Juan Camilo
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CharacterString: Seismic Hazard and Risk Dynamics, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473, Potsdam, Germany
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Released
Dataset
Abstract
;GFZ German Research Centre for Geosciences, Potsdam, Germany
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