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Quantifying the effect of early warning systems on natural hazard risk

  • Research Unit Ecosystem Boudaries

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Risk to persons caused by gravitationally driven site-specific natural hazards along traffic routes is frequently reduced with Early Warning Systems (EWS). To identify an optimal risk reduction strategy, decision-makers should be able to quantify the effectiveness and costs achieved with EWS and compare both to alternative mitigation measures. A recognized framework approach for quantifying the effectiveness of EWS is currently lacking. We provide such a framework approach, which includes six steps that enable a structured quantification of the effectiveness, from the reliability of the EWS. To this end, site specific EWS are distinguished in two classes and the reliability analyses are conducted according to specific needs with Bayesian Networks (BN).

Original languageEnglish
Title of host publication12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015
PublisherUniversity of British Columbia
ISBN (Electronic)9780888652454
StatePublished - 2015
Event12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 - Vancouver, Canada
Duration: 12 Jul 201515 Jul 2015

Publication series

Name12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

Conference

Conference12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
Country/TerritoryCanada
CityVancouver
Period12/07/1515/07/15

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