Quantifying the effectiveness of early warning systems for natural hazards

Early warning systems (EWSs) are increasingly applied as preventive measures within an integrated risk management approach for natural hazards. At present, common standards and detailed guidelines for the evaluation of their effectiveness are lacking. To support decision-makers in the identification...

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Main Authors: M. Sättele, M. Bründl, D. Straub
Format: Article
Language:English
Published: Copernicus Publications 2016-01-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/16/149/2016/nhess-16-149-2016.pdf
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author M. Sättele
M. Bründl
D. Straub
author_facet M. Sättele
M. Bründl
D. Straub
author_sort M. Sättele
collection DOAJ
description Early warning systems (EWSs) are increasingly applied as preventive measures within an integrated risk management approach for natural hazards. At present, common standards and detailed guidelines for the evaluation of their effectiveness are lacking. To support decision-makers in the identification of optimal risk mitigation measures, a three-step framework approach for the evaluation of EWSs is presented. The effectiveness is calculated in function of the technical and the inherent reliability of the EWS. The framework is applicable to automated and non-automated EWSs and combinations thereof. To address the specifics and needs of a wide variety of EWS designs, a classification of EWSs is provided, which focuses on the degree of automations encountered in varying EWSs. The framework and its implementation are illustrated through a series of example applications of EWS in an alpine environment.
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spelling doaj.art-ed0306d0c643484ba569d0b4cf44b1992022-12-22T00:02:00ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812016-01-0116114916610.5194/nhess-16-149-2016Quantifying the effectiveness of early warning systems for natural hazardsM. Sättele0M. Bründl1D. Straub2WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, Davos Dorf, SwitzerlandTechnische Universität München, Engineering Risk Analysis Group, Munich, GermanyEarly warning systems (EWSs) are increasingly applied as preventive measures within an integrated risk management approach for natural hazards. At present, common standards and detailed guidelines for the evaluation of their effectiveness are lacking. To support decision-makers in the identification of optimal risk mitigation measures, a three-step framework approach for the evaluation of EWSs is presented. The effectiveness is calculated in function of the technical and the inherent reliability of the EWS. The framework is applicable to automated and non-automated EWSs and combinations thereof. To address the specifics and needs of a wide variety of EWS designs, a classification of EWSs is provided, which focuses on the degree of automations encountered in varying EWSs. The framework and its implementation are illustrated through a series of example applications of EWS in an alpine environment.http://www.nat-hazards-earth-syst-sci.net/16/149/2016/nhess-16-149-2016.pdf
spellingShingle M. Sättele
M. Bründl
D. Straub
Quantifying the effectiveness of early warning systems for natural hazards
Natural Hazards and Earth System Sciences
title Quantifying the effectiveness of early warning systems for natural hazards
title_full Quantifying the effectiveness of early warning systems for natural hazards
title_fullStr Quantifying the effectiveness of early warning systems for natural hazards
title_full_unstemmed Quantifying the effectiveness of early warning systems for natural hazards
title_short Quantifying the effectiveness of early warning systems for natural hazards
title_sort quantifying the effectiveness of early warning systems for natural hazards
url http://www.nat-hazards-earth-syst-sci.net/16/149/2016/nhess-16-149-2016.pdf
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