Publication Date:
2024-04-29
Description:
Abstract
Description:
This data repository contains a brief description of the building classification scheme for physical vulnerability to tsunamis and corresponding fragility functions originally proposed by Medina, 2019. These fragility functions are used as input to construct their associated state-dependent fragility functions using scaling factors, which were obtained as ad-hoc calibration parameters. A Python script to produce a file with such a model is provided along with the needed inputs and resulting output files.
Description:
Other
Description:
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.
Keywords:
fragility function
;
tsunami vulnerability
;
multi-hazard
;
attributes
;
RIESGOS
;
Scenario-based multi-risk assessment in the Andes region
;
EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 EARTHQUAKES
;
EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 TSUNAMIS
Type:
Dataset
,
Dataset
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