Quantitative Assessment of Epistemic Uncertainties in Tsunami Hazard Effects on Building Risk Assessments

Based on the definition of tsunami risk, we quantitatively evaluated the annual expected tsunami loss ratio (Tsunami Risk Index) and clarified the quantitative effects of epistemic uncertainties in tsunami hazard assessments on the tsunami risk of buildings by combining probabilistic information reg...

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Main Authors: Yo Fukutani, Anawat Suppasri, Fumihiko Imamura
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Geosciences
Subjects:
Online Access:http://www.mdpi.com/2076-3263/8/1/17
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spelling doaj-de0ede1a40e94c6cb39b3f28a6389a4c2020-11-24T21:11:44ZengMDPI AGGeosciences2076-32632018-01-01811710.3390/geosciences8010017geosciences8010017Quantitative Assessment of Epistemic Uncertainties in Tsunami Hazard Effects on Building Risk AssessmentsYo Fukutani0Anawat Suppasri1Fumihiko Imamura2College of Science and Engineering, Kanto Gakuin University, Yokohama 236-8501, JapanInternational Research Institute of Disaster Science, Tohoku University, Sendai 980-0845, JapanInternational Research Institute of Disaster Science, Tohoku University, Sendai 980-0845, JapanBased on the definition of tsunami risk, we quantitatively evaluated the annual expected tsunami loss ratio (Tsunami Risk Index) and clarified the quantitative effects of epistemic uncertainties in tsunami hazard assessments on the tsunami risk of buildings by combining probabilistic information regarding tsunami inundation depths at target points and tsunami fragility assessments of buildings. For the risk assessment, we targeted buildings with four different structures (reinforced concrete, steel, brick, wood) located in three different areas (Soma, Sendai, Kesennuma). In conclusion, we demonstrated that the expected tsunami risk could vary by approximately two orders of magnitude when considering tsunami hazard uncertainties between the 95th percentile and the 5th percentile. In addition, we quantitatively clarified the fact that we cannot properly understand the tsunami risk by evaluating the tsunami fragility alone. For example, the analysis results indicate that the tsunami risk of a wood building located in Kesennuma is lower than that of a reinforced concrete building located in either Soma or Sendai.http://www.mdpi.com/2076-3263/8/1/17tsunami hazard uncertaintytsunami riskrisk quantificationquantitative effect
collection DOAJ
language English
format Article
sources DOAJ
author Yo Fukutani
Anawat Suppasri
Fumihiko Imamura
spellingShingle Yo Fukutani
Anawat Suppasri
Fumihiko Imamura
Quantitative Assessment of Epistemic Uncertainties in Tsunami Hazard Effects on Building Risk Assessments
Geosciences
tsunami hazard uncertainty
tsunami risk
risk quantification
quantitative effect
author_facet Yo Fukutani
Anawat Suppasri
Fumihiko Imamura
author_sort Yo Fukutani
title Quantitative Assessment of Epistemic Uncertainties in Tsunami Hazard Effects on Building Risk Assessments
title_short Quantitative Assessment of Epistemic Uncertainties in Tsunami Hazard Effects on Building Risk Assessments
title_full Quantitative Assessment of Epistemic Uncertainties in Tsunami Hazard Effects on Building Risk Assessments
title_fullStr Quantitative Assessment of Epistemic Uncertainties in Tsunami Hazard Effects on Building Risk Assessments
title_full_unstemmed Quantitative Assessment of Epistemic Uncertainties in Tsunami Hazard Effects on Building Risk Assessments
title_sort quantitative assessment of epistemic uncertainties in tsunami hazard effects on building risk assessments
publisher MDPI AG
series Geosciences
issn 2076-3263
publishDate 2018-01-01
description Based on the definition of tsunami risk, we quantitatively evaluated the annual expected tsunami loss ratio (Tsunami Risk Index) and clarified the quantitative effects of epistemic uncertainties in tsunami hazard assessments on the tsunami risk of buildings by combining probabilistic information regarding tsunami inundation depths at target points and tsunami fragility assessments of buildings. For the risk assessment, we targeted buildings with four different structures (reinforced concrete, steel, brick, wood) located in three different areas (Soma, Sendai, Kesennuma). In conclusion, we demonstrated that the expected tsunami risk could vary by approximately two orders of magnitude when considering tsunami hazard uncertainties between the 95th percentile and the 5th percentile. In addition, we quantitatively clarified the fact that we cannot properly understand the tsunami risk by evaluating the tsunami fragility alone. For example, the analysis results indicate that the tsunami risk of a wood building located in Kesennuma is lower than that of a reinforced concrete building located in either Soma or Sendai.
topic tsunami hazard uncertainty
tsunami risk
risk quantification
quantitative effect
url http://www.mdpi.com/2076-3263/8/1/17
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