Articles | Volume 386
https://doi.org/10.5194/piahs-386-165-2024
https://doi.org/10.5194/piahs-386-165-2024
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Investment decision support for business sustainability improvement based on flood inundation simulations with a variety of extreme rainfall scenarios

Saki Nonaka, Kazuki Suzuki, Nobuyuki Iwamae, Daisuke Nohara, and Yoriyuki Yamada

Cited articles

Fan, J. and Huang, G.: Evaluation of Flood Risk Management in Japan through a Recent Case, Sustainability, 12, 5357, https://doi.org/10.3390/su12135357, 2020. 
JMA: Number of occurrences of hourly precipitation exceeding 50 mm in Japan (AMeDAS), https://www.data.jma.go.jp/cpdinfo/extreme/extreme_p.html, last access: 15 November 2022. 
Kimura, T.: The Flood Runoff Analysis Method by the Storage Function Model, The Public Works Research Institute, Ministry of Construction, 1961 (in Japanese). 
MLIT: Flood fighting act amendment, https://www.mlit.go.jp/river/suibou/suibouhou.html (last access: 17 October 2023), 2015a. 
MLIT: Manual of determining probable maximum precipitation for making expected inundation (river and inland floods), https://www.mlit.go.jp/river/shishin_guideline/pdf/shinsuisoutei_honnbun_1507.pdf (last access: 17 October 2023), 2015b. 
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Short summary
Flood risk information based on a series of inundation simulations for various rainfall scenarios was estimated for business sites located in the expected inundation area of the Tama River, Tokyo, Japan. The inundation characteristics of each site highly depend on the topographic feature of the flood plain, suggesting the importance of assessment at a respective business site. Risk analysis was then applied to examine optimal flood protection measures.