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Mountain torrents: Quantifying vulnerability and assessing uncertainties

Vulnerability assessment for elements at risk is an important component in the framework of risk assessment. The vulnerability of buildings affected by torrent processes can be quantified by vulnerability functions that express a mathematical relationship between the degree of loss of individual ele...

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Detalles Bibliográficos
Autores principales: Totschnig, Reinhold, Fuchs, Sven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Pub. Co 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819033/
https://www.ncbi.nlm.nih.gov/pubmed/27087696
http://dx.doi.org/10.1016/j.enggeo.2012.12.019
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author Totschnig, Reinhold
Fuchs, Sven
author_facet Totschnig, Reinhold
Fuchs, Sven
author_sort Totschnig, Reinhold
collection PubMed
description Vulnerability assessment for elements at risk is an important component in the framework of risk assessment. The vulnerability of buildings affected by torrent processes can be quantified by vulnerability functions that express a mathematical relationship between the degree of loss of individual elements at risk and the intensity of the impacting process. Based on data from the Austrian Alps, we extended a vulnerability curve for residential buildings affected by fluvial sediment transport processes to other torrent processes and other building types. With respect to this goal to merge different data based on different processes and building types, several statistical tests were conducted. The calculation of vulnerability functions was based on a nonlinear regression approach applying cumulative distribution functions. The results suggest that there is no need to distinguish between different sediment-laden torrent processes when assessing vulnerability of residential buildings towards torrent processes. The final vulnerability functions were further validated with data from the Italian Alps and different vulnerability functions presented in the literature. This comparison showed the wider applicability of the derived vulnerability functions. The uncertainty inherent to regression functions was quantified by the calculation of confidence bands. The derived vulnerability functions may be applied within the framework of risk management for mountain hazards within the European Alps. The method is transferable to other mountain regions if the input data needed are available.
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spelling pubmed-48190332016-04-14 Mountain torrents: Quantifying vulnerability and assessing uncertainties Totschnig, Reinhold Fuchs, Sven Eng Geol Article Vulnerability assessment for elements at risk is an important component in the framework of risk assessment. The vulnerability of buildings affected by torrent processes can be quantified by vulnerability functions that express a mathematical relationship between the degree of loss of individual elements at risk and the intensity of the impacting process. Based on data from the Austrian Alps, we extended a vulnerability curve for residential buildings affected by fluvial sediment transport processes to other torrent processes and other building types. With respect to this goal to merge different data based on different processes and building types, several statistical tests were conducted. The calculation of vulnerability functions was based on a nonlinear regression approach applying cumulative distribution functions. The results suggest that there is no need to distinguish between different sediment-laden torrent processes when assessing vulnerability of residential buildings towards torrent processes. The final vulnerability functions were further validated with data from the Italian Alps and different vulnerability functions presented in the literature. This comparison showed the wider applicability of the derived vulnerability functions. The uncertainty inherent to regression functions was quantified by the calculation of confidence bands. The derived vulnerability functions may be applied within the framework of risk management for mountain hazards within the European Alps. The method is transferable to other mountain regions if the input data needed are available. Elsevier Pub. Co 2013-03-14 /pmc/articles/PMC4819033/ /pubmed/27087696 http://dx.doi.org/10.1016/j.enggeo.2012.12.019 Text en © 2013 Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/3.0/This is an open access article under the CC BY NC ND license (https://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Article
Totschnig, Reinhold
Fuchs, Sven
Mountain torrents: Quantifying vulnerability and assessing uncertainties
title Mountain torrents: Quantifying vulnerability and assessing uncertainties
title_full Mountain torrents: Quantifying vulnerability and assessing uncertainties
title_fullStr Mountain torrents: Quantifying vulnerability and assessing uncertainties
title_full_unstemmed Mountain torrents: Quantifying vulnerability and assessing uncertainties
title_short Mountain torrents: Quantifying vulnerability and assessing uncertainties
title_sort mountain torrents: quantifying vulnerability and assessing uncertainties
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819033/
https://www.ncbi.nlm.nih.gov/pubmed/27087696
http://dx.doi.org/10.1016/j.enggeo.2012.12.019
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