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Quantifying the inundation impacts of earthquake-induced surface elevation change by hydrological and hydraulic modeling

Current estimates of flood hazards are often based on the assumption that topography is static. When tectonic and/or anthropogenic processes change the land surface elevation, the spatial patterns of floods might also change. Here, we employ the hydrological and hydraulic modeling to simulate floods...

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Autores principales: Ouyang, Mao, Ito, Yuka, Tokunaga, Tomochika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895827/
https://www.ncbi.nlm.nih.gov/pubmed/33608596
http://dx.doi.org/10.1038/s41598-021-83309-7
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author Ouyang, Mao
Ito, Yuka
Tokunaga, Tomochika
author_facet Ouyang, Mao
Ito, Yuka
Tokunaga, Tomochika
author_sort Ouyang, Mao
collection PubMed
description Current estimates of flood hazards are often based on the assumption that topography is static. When tectonic and/or anthropogenic processes change the land surface elevation, the spatial patterns of floods might also change. Here, we employ the hydrological and hydraulic modeling to simulate floods in the Kujukuri Plain, Japan, in the years 2004 and 2013, when two severe floods occurred. In between the two floods, land surface elevations were changed by the 2011 Tohoku-Oki earthquake. The effects of land surface elevation changes on inundation areas were quantified by changing input topographies. Our results showed that, without taking into account land surface elevation changes, around 10% of inundation areas were underestimated at the time of flood events in the year 2013. The spatial distribution of inundation locations varied with local topographical features, for example, the areas with backmarsh and valley fill deposits were sensitive to the extent of inundation by land surface elevation changes. The sub-watershed near the coastal shoreline having below-zero meter elevation areas showed that the earthquake-induced land surface elevation changes exacerbated an additional 22% inundation area. This study suggests that the inundation areas will increase in catchments suffering severe settlements, which highlights the necessity of taking into account the spatio-temporal changes of land surface elevations on the assessment of flood hazards.
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spelling pubmed-78958272021-02-24 Quantifying the inundation impacts of earthquake-induced surface elevation change by hydrological and hydraulic modeling Ouyang, Mao Ito, Yuka Tokunaga, Tomochika Sci Rep Article Current estimates of flood hazards are often based on the assumption that topography is static. When tectonic and/or anthropogenic processes change the land surface elevation, the spatial patterns of floods might also change. Here, we employ the hydrological and hydraulic modeling to simulate floods in the Kujukuri Plain, Japan, in the years 2004 and 2013, when two severe floods occurred. In between the two floods, land surface elevations were changed by the 2011 Tohoku-Oki earthquake. The effects of land surface elevation changes on inundation areas were quantified by changing input topographies. Our results showed that, without taking into account land surface elevation changes, around 10% of inundation areas were underestimated at the time of flood events in the year 2013. The spatial distribution of inundation locations varied with local topographical features, for example, the areas with backmarsh and valley fill deposits were sensitive to the extent of inundation by land surface elevation changes. The sub-watershed near the coastal shoreline having below-zero meter elevation areas showed that the earthquake-induced land surface elevation changes exacerbated an additional 22% inundation area. This study suggests that the inundation areas will increase in catchments suffering severe settlements, which highlights the necessity of taking into account the spatio-temporal changes of land surface elevations on the assessment of flood hazards. Nature Publishing Group UK 2021-02-19 /pmc/articles/PMC7895827/ /pubmed/33608596 http://dx.doi.org/10.1038/s41598-021-83309-7 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ouyang, Mao
Ito, Yuka
Tokunaga, Tomochika
Quantifying the inundation impacts of earthquake-induced surface elevation change by hydrological and hydraulic modeling
title Quantifying the inundation impacts of earthquake-induced surface elevation change by hydrological and hydraulic modeling
title_full Quantifying the inundation impacts of earthquake-induced surface elevation change by hydrological and hydraulic modeling
title_fullStr Quantifying the inundation impacts of earthquake-induced surface elevation change by hydrological and hydraulic modeling
title_full_unstemmed Quantifying the inundation impacts of earthquake-induced surface elevation change by hydrological and hydraulic modeling
title_short Quantifying the inundation impacts of earthquake-induced surface elevation change by hydrological and hydraulic modeling
title_sort quantifying the inundation impacts of earthquake-induced surface elevation change by hydrological and hydraulic modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895827/
https://www.ncbi.nlm.nih.gov/pubmed/33608596
http://dx.doi.org/10.1038/s41598-021-83309-7
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