Back to Search Start Over

Short communication: A model to predict flood loss in mountain areas

Authors :
Matthias Schlögl
Micha Heiser
Margreth Keiler
Sven Fuchs
Andreas Paul Zischg
Maria Papathoma-Köhle
Source :
Environmental Modelling & Software. 117:176-180
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Because effects of climate change and an increase in elements at risk, mountain hazard loss increased throughout Europe. Yet, factors influencing loss, i.e. vulnerability, have gained less attention to date. Vulnerability is defined as the degree of loss resulting from the hazard impact on buildings. Recent studies have focused on evaluating vulnerability to dynamic flooding using proxies from case studies and based on empirical ex-post approaches. However, the transferability to other case studies and, therefore, the ability of such models to actually predict future losses is limited. To overcome this gap, we present a beta model based on loss data from the European Alps, which clearly shows that a single vulnerability function is sufficient to predict losses resulting from different types of torrential hazards and to provide probabilities of destruction under specific scenarios. As a result, the curves are transferable and may significantly increase the predictive power of risk analyses.

Details

ISSN :
13648152
Volume :
117
Database :
OpenAIRE
Journal :
Environmental Modelling & Software
Accession number :
edsair.doi...........ccae12831430d80525cd279ad6128b92