Quantifying the effectiveness of early warning systems for natural hazards

M. Sättele, M. Bründl, D. Straub

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)149-166
Number of pages18
JournalNatural Hazards and Earth System Sciences
Volume16
Issue number1
DOIs
StatePublished - 19 Jan 2016

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