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...
Main Authors: | , , |
---|---|
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 |
_version_ | 1828861128877277184 |
---|---|
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. |
first_indexed | 2024-12-13T02:54:29Z |
format | Article |
id | doaj.art-ed0306d0c643484ba569d0b4cf44b199 |
institution | Directory Open Access Journal |
issn | 1561-8633 1684-9981 |
language | English |
last_indexed | 2024-12-13T02:54:29Z |
publishDate | 2016-01-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Natural Hazards and Earth System Sciences |
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 |
work_keys_str_mv | AT msattele quantifyingtheeffectivenessofearlywarningsystemsfornaturalhazards AT mbrundl quantifyingtheeffectivenessofearlywarningsystemsfornaturalhazards AT dstraub quantifyingtheeffectivenessofearlywarningsystemsfornaturalhazards |