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タイトル: 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
著者: Budhathoki, Aakanchya
Tanaka, Tomohiro  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-8884-9089 (unconfirmed)
Tachikawa, Yasuto  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-1647-8899 (unconfirmed)
キーワード: d4PDF
Climate change
IMCR
Flood inundation
Population exposure
Lower Chao Phraya River Basin
発行日: Dec-2023
出版者: Elsevier BV
誌名: Journal of Hydrology: Regional Studies
巻: 50
論文番号: 101583
抄録: 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.
著作権等: © 2023 The Authors.
Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license
URI: http://hdl.handle.net/2433/292217
DOI(出版社版): 10.1016/j.ejrh.2023.101583
出現コレクション:学術雑誌掲載論文等

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