Evaluating targeted heuristics for vulnerability assessment in flood impact model chains

Abstract In flood risk management, the choice of vulnerability functions has a remarkable impact on the overall uncertainty of modelling flood damage. The spatial transferability of empirical vulnerability functions is limited, leading to the need for computation and validation of region‐specific vu...

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Autores principales: Andreas Paul Zischg, Veronika Röthlisberger, Markus Mosimann, Rahel Profico‐Kaltenrieder, David N.Bresch, Sven Fuchs, Martina Kauzlaric, Margreth Keiler
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Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/b8a94b0cb2f54af8b6d23536d850398d
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spelling oai:doaj.org-article:b8a94b0cb2f54af8b6d23536d850398d2021-11-11T05:32:09ZEvaluating targeted heuristics for vulnerability assessment in flood impact model chains1753-318X10.1111/jfr3.12736https://doaj.org/article/b8a94b0cb2f54af8b6d23536d850398d2021-12-01T00:00:00Zhttps://doi.org/10.1111/jfr3.12736https://doaj.org/toc/1753-318XAbstract In flood risk management, the choice of vulnerability functions has a remarkable impact on the overall uncertainty of modelling flood damage. The spatial transferability of empirical vulnerability functions is limited, leading to the need for computation and validation of region‐specific vulnerability functions. In data‐scarce regions however, this option is not feasible. In contrast, the physical processes of flood impact model chains can be developed in these regions because of the availability of global datasets. Here we evaluated the implementation of a synthetic vulnerability function into a flood impact model. The function bases on expert heuristics on a targeted sample of representative buildings (targeted heuristics). We applied the vulnerability function in a meso‐scale river basin and evaluated the new function by comparing the resulting flood damage with the damage computed by other approaches, (1) an ensemble of vulnerability functions available from the literature, (2) an individual vulnerability function calibrated with region‐specific data, and (3) the vulnerability function used in flood risk management by the Swiss government. The results show that targeted heuristics can be a valuable alternative for developing flood impact models in regions without any data or only few data on flood damage.Andreas Paul ZischgVeronika RöthlisbergerMarkus MosimannRahel Profico‐KaltenriederDavid N.BreschSven FuchsMartina KauzlaricMargreth KeilerWileyarticleextreme eventsflood damagesfloodplainvulnerabilityRiver protective works. Regulation. Flood controlTC530-537Disasters and engineeringTA495ENJournal of Flood Risk Management, Vol 14, Iss 4, Pp n/a-n/a (2021)
institution DOAJ
collection DOAJ
language EN
topic extreme events
flood damages
floodplain
vulnerability
River protective works. Regulation. Flood control
TC530-537
Disasters and engineering
TA495
spellingShingle extreme events
flood damages
floodplain
vulnerability
River protective works. Regulation. Flood control
TC530-537
Disasters and engineering
TA495
Andreas Paul Zischg
Veronika Röthlisberger
Markus Mosimann
Rahel Profico‐Kaltenrieder
David N.Bresch
Sven Fuchs
Martina Kauzlaric
Margreth Keiler
Evaluating targeted heuristics for vulnerability assessment in flood impact model chains
description Abstract In flood risk management, the choice of vulnerability functions has a remarkable impact on the overall uncertainty of modelling flood damage. The spatial transferability of empirical vulnerability functions is limited, leading to the need for computation and validation of region‐specific vulnerability functions. In data‐scarce regions however, this option is not feasible. In contrast, the physical processes of flood impact model chains can be developed in these regions because of the availability of global datasets. Here we evaluated the implementation of a synthetic vulnerability function into a flood impact model. The function bases on expert heuristics on a targeted sample of representative buildings (targeted heuristics). We applied the vulnerability function in a meso‐scale river basin and evaluated the new function by comparing the resulting flood damage with the damage computed by other approaches, (1) an ensemble of vulnerability functions available from the literature, (2) an individual vulnerability function calibrated with region‐specific data, and (3) the vulnerability function used in flood risk management by the Swiss government. The results show that targeted heuristics can be a valuable alternative for developing flood impact models in regions without any data or only few data on flood damage.
format article
author Andreas Paul Zischg
Veronika Röthlisberger
Markus Mosimann
Rahel Profico‐Kaltenrieder
David N.Bresch
Sven Fuchs
Martina Kauzlaric
Margreth Keiler
author_facet Andreas Paul Zischg
Veronika Röthlisberger
Markus Mosimann
Rahel Profico‐Kaltenrieder
David N.Bresch
Sven Fuchs
Martina Kauzlaric
Margreth Keiler
author_sort Andreas Paul Zischg
title Evaluating targeted heuristics for vulnerability assessment in flood impact model chains
title_short Evaluating targeted heuristics for vulnerability assessment in flood impact model chains
title_full Evaluating targeted heuristics for vulnerability assessment in flood impact model chains
title_fullStr Evaluating targeted heuristics for vulnerability assessment in flood impact model chains
title_full_unstemmed Evaluating targeted heuristics for vulnerability assessment in flood impact model chains
title_sort evaluating targeted heuristics for vulnerability assessment in flood impact model chains
publisher Wiley
publishDate 2021
url https://doaj.org/article/b8a94b0cb2f54af8b6d23536d850398d
work_keys_str_mv AT andreaspaulzischg evaluatingtargetedheuristicsforvulnerabilityassessmentinfloodimpactmodelchains
AT veronikarothlisberger evaluatingtargetedheuristicsforvulnerabilityassessmentinfloodimpactmodelchains
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