Assessing extreme flood inundation and demographic exposure in climate change using large ensemble climate simulation data in the Lower Chao Phraya River Basin of Thailand
Study region: Lower Chao Phraya River Basin (LCPRB), Thailand. Study focus: This study aims to make a robust assessment based on a large ensemble d4PDF dataset and a flood-inundation model Inundation Model Coupling Rainfall-runoff (IMCR) for the LCPRB. Inundation area and depth for 100-year flooding...
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Format: | Article |
Language: | English |
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Elsevier
2023-12-01
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Series: | Journal of Hydrology: Regional Studies |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581823002707 |
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author | Aakanchya Budhathoki Tomohiro Tanaka Yasuto Tachikawa |
author_facet | Aakanchya Budhathoki Tomohiro Tanaka Yasuto Tachikawa |
author_sort | Aakanchya Budhathoki |
collection | DOAJ |
description | Study region: Lower Chao Phraya River Basin (LCPRB), Thailand. Study focus: This study aims to make a robust assessment based on a large ensemble d4PDF dataset and a flood-inundation model Inundation Model Coupling Rainfall-runoff (IMCR) for the LCPRB. Inundation area and depth for 100-year flooding are evaluated for the flood volume of capacity greater than 2000 m3/s for both past (1951–2010) and future (2051–2100) climates. This study also evaluates the affected population exposure in the region for both past and future climate scenarios. New hydrological insights for the region: The IMCR inundation simulation findings indicate that compared to the historical climate, the inundation area increases by an average of 1.0–1.4 times, and the critical area (depth >3 m) increases by an average of 1.1–1.3 times. On the other hand, the exposed population in the future, with respect to the SSP5 scenario ''Taking the Highway,'' is expected to decrease on average by 0.7–0.9 times in comparison to the past climate for depth > 0 m. However, keeping the population constant as in the past, the exposed population is likely to increase on average by 1.3–1.4 times in comparison to the past climate for depth > 0 m. |
first_indexed | 2024-03-08T23:12:50Z |
format | Article |
id | doaj.art-c932b934303445ff878a12247016e3e7 |
institution | Directory Open Access Journal |
issn | 2214-5818 |
language | English |
last_indexed | 2024-03-08T23:12:50Z |
publishDate | 2023-12-01 |
publisher | Elsevier |
record_format | Article |
series | Journal of Hydrology: Regional Studies |
spelling | doaj.art-c932b934303445ff878a12247016e3e72023-12-15T07:24:19ZengElsevierJournal of Hydrology: Regional Studies2214-58182023-12-0150101583Assessing extreme flood inundation and demographic exposure in climate change using large ensemble climate simulation data in the Lower Chao Phraya River Basin of ThailandAakanchya Budhathoki0Tomohiro Tanaka1Yasuto Tachikawa2Corresponding author.; Graduate School of Engineering, Kyoto University, C1-1, KyotoDaigaku-Katsura, Nishikyoku, Kyoto, Kyoto, JapanGraduate School of Engineering, Kyoto University, C1-1, KyotoDaigaku-Katsura, Nishikyoku, Kyoto, Kyoto, JapanGraduate School of Engineering, Kyoto University, C1-1, KyotoDaigaku-Katsura, Nishikyoku, Kyoto, Kyoto, JapanStudy region: Lower Chao Phraya River Basin (LCPRB), Thailand. Study focus: This study aims to make a robust assessment based on a large ensemble d4PDF dataset and a flood-inundation model Inundation Model Coupling Rainfall-runoff (IMCR) for the LCPRB. Inundation area and depth for 100-year flooding are evaluated for the flood volume of capacity greater than 2000 m3/s for both past (1951–2010) and future (2051–2100) climates. This study also evaluates the affected population exposure in the region for both past and future climate scenarios. New hydrological insights for the region: The IMCR inundation simulation findings indicate that compared to the historical climate, the inundation area increases by an average of 1.0–1.4 times, and the critical area (depth >3 m) increases by an average of 1.1–1.3 times. On the other hand, the exposed population in the future, with respect to the SSP5 scenario ''Taking the Highway,'' is expected to decrease on average by 0.7–0.9 times in comparison to the past climate for depth > 0 m. However, keeping the population constant as in the past, the exposed population is likely to increase on average by 1.3–1.4 times in comparison to the past climate for depth > 0 m.http://www.sciencedirect.com/science/article/pii/S2214581823002707d4PDFClimate changeIMCRFlood inundationPopulation exposureLower Chao Phraya River Basin |
spellingShingle | Aakanchya Budhathoki Tomohiro Tanaka Yasuto Tachikawa Assessing extreme flood inundation and demographic exposure in climate change using large ensemble climate simulation data in the Lower Chao Phraya River Basin of Thailand Journal of Hydrology: Regional Studies d4PDF Climate change IMCR Flood inundation Population exposure Lower Chao Phraya River Basin |
title | Assessing extreme flood inundation and demographic exposure in climate change using large ensemble climate simulation data in the Lower Chao Phraya River Basin of Thailand |
title_full | Assessing extreme flood inundation and demographic exposure in climate change using large ensemble climate simulation data in the Lower Chao Phraya River Basin of Thailand |
title_fullStr | Assessing extreme flood inundation and demographic exposure in climate change using large ensemble climate simulation data in the Lower Chao Phraya River Basin of Thailand |
title_full_unstemmed | Assessing extreme flood inundation and demographic exposure in climate change using large ensemble climate simulation data in the Lower Chao Phraya River Basin of Thailand |
title_short | Assessing extreme flood inundation and demographic exposure in climate change using large ensemble climate simulation data in the Lower Chao Phraya River Basin of Thailand |
title_sort | assessing extreme flood inundation and demographic exposure in climate change using large ensemble climate simulation data in the lower chao phraya river basin of thailand |
topic | d4PDF Climate change IMCR Flood inundation Population exposure Lower Chao Phraya River Basin |
url | http://www.sciencedirect.com/science/article/pii/S2214581823002707 |
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