Influence of Elevation Data Resolution on Tsunami Loss Estimation and Insurance Rate-Making

Tsunamis triggered by large offshore earthquakes are devastating, and buildings located near the coast experience damage and loss due to such extreme events. In evaluating regional tsunami impact via numerical tsunami simulations, it is important to pay close attention to local geographical features...

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Main Authors: Jie Song, Katsuichiro Goda
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-09-01
Series:Frontiers in Earth Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/feart.2019.00246/full
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spelling doaj-e20ca77443fd404dbe86fe942cae928e2020-11-25T01:11:46ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632019-09-01710.3389/feart.2019.00246475006Influence of Elevation Data Resolution on Tsunami Loss Estimation and Insurance Rate-MakingJie Song0Katsuichiro Goda1Department of Civil Engineering, University of Bristol, Bristol, United KingdomDepartment of Earth Sciences and Statistical and Actuarial Sciences, Western University, London, ON, CanadaTsunamis triggered by large offshore earthquakes are devastating, and buildings located near the coast experience damage and loss due to such extreme events. In evaluating regional tsunami impact via numerical tsunami simulations, it is important to pay close attention to local geographical features represented by a digital elevation model (DEM), because tsunami loss estimation is sensitive to its quality and resolution. This study investigates the influence of elevation data resolution on tsunami loss estimation at different scales by comparing tsunami risk results using DEMs of four resolutions (i.e., 10-m, 50-m, 150-m, and 450-m). Using stochastic tsunami modeling, a case study is carried out by focusing on the Tohoku region in Japan to investigate the influence of DEM resolution on tsunami loss estimation considering the effect of location attributes (i.e., coastal topography, distance from the coast, and land elevation) for two building portfolios on plain coast and ria coast. The results indicate the significance of DEM resolution for local tsunami loss estimations at different locations. The local tsunami risk is closely related to the building location, and the increase of distance from the coast and/or land elevation dramatically reduces the local tsunami risk. The investigations extend discussions regarding the calculations of pure insurance premium rate for tsunami loss coverage depending upon structural attributes and location attributes.https://www.frontiersin.org/article/10.3389/feart.2019.00246/fullstochastic tsunami simulationelevation data resolutionprobabilistic tsunami loss estimationinsurance rate-makingrate differentiation
collection DOAJ
language English
format Article
sources DOAJ
author Jie Song
Katsuichiro Goda
spellingShingle Jie Song
Katsuichiro Goda
Influence of Elevation Data Resolution on Tsunami Loss Estimation and Insurance Rate-Making
Frontiers in Earth Science
stochastic tsunami simulation
elevation data resolution
probabilistic tsunami loss estimation
insurance rate-making
rate differentiation
author_facet Jie Song
Katsuichiro Goda
author_sort Jie Song
title Influence of Elevation Data Resolution on Tsunami Loss Estimation and Insurance Rate-Making
title_short Influence of Elevation Data Resolution on Tsunami Loss Estimation and Insurance Rate-Making
title_full Influence of Elevation Data Resolution on Tsunami Loss Estimation and Insurance Rate-Making
title_fullStr Influence of Elevation Data Resolution on Tsunami Loss Estimation and Insurance Rate-Making
title_full_unstemmed Influence of Elevation Data Resolution on Tsunami Loss Estimation and Insurance Rate-Making
title_sort influence of elevation data resolution on tsunami loss estimation and insurance rate-making
publisher Frontiers Media S.A.
series Frontiers in Earth Science
issn 2296-6463
publishDate 2019-09-01
description Tsunamis triggered by large offshore earthquakes are devastating, and buildings located near the coast experience damage and loss due to such extreme events. In evaluating regional tsunami impact via numerical tsunami simulations, it is important to pay close attention to local geographical features represented by a digital elevation model (DEM), because tsunami loss estimation is sensitive to its quality and resolution. This study investigates the influence of elevation data resolution on tsunami loss estimation at different scales by comparing tsunami risk results using DEMs of four resolutions (i.e., 10-m, 50-m, 150-m, and 450-m). Using stochastic tsunami modeling, a case study is carried out by focusing on the Tohoku region in Japan to investigate the influence of DEM resolution on tsunami loss estimation considering the effect of location attributes (i.e., coastal topography, distance from the coast, and land elevation) for two building portfolios on plain coast and ria coast. The results indicate the significance of DEM resolution for local tsunami loss estimations at different locations. The local tsunami risk is closely related to the building location, and the increase of distance from the coast and/or land elevation dramatically reduces the local tsunami risk. The investigations extend discussions regarding the calculations of pure insurance premium rate for tsunami loss coverage depending upon structural attributes and location attributes.
topic stochastic tsunami simulation
elevation data resolution
probabilistic tsunami loss estimation
insurance rate-making
rate differentiation
url https://www.frontiersin.org/article/10.3389/feart.2019.00246/full
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