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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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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