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...

Full description

Bibliographic Details
Main Authors: Aakanchya Budhathoki, Tomohiro Tanaka, Yasuto Tachikawa
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581823002707
_version_ 1827583789913604096
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
work_keys_str_mv AT aakanchyabudhathoki assessingextremefloodinundationanddemographicexposureinclimatechangeusinglargeensembleclimatesimulationdatainthelowerchaophrayariverbasinofthailand
AT tomohirotanaka assessingextremefloodinundationanddemographicexposureinclimatechangeusinglargeensembleclimatesimulationdatainthelowerchaophrayariverbasinofthailand
AT yasutotachikawa assessingextremefloodinundationanddemographicexposureinclimatechangeusinglargeensembleclimatesimulationdatainthelowerchaophrayariverbasinofthailand