Articles | Volume 27, issue 8
https://doi.org/10.5194/hess-27-1627-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-1627-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Apr 2023
Research article |
| 20 Apr 2023
| 20 Apr 2023
Methodology for constructing a flood-hazard map for a future climate
Yuki Kimura
CORRESPONDING AUTHOR
Risk Assessment Department, MS&AD InterRisk Research &
Consulting, Inc., 2-105 Kanda Awajicho, Chiyoda-ku, Tokyo 101-0063, Japan
Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
Yukiko Hirabayashi
Department of Civil Engineering, Shibaura Institute of Technology,
3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan
Yuki Kita
Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
Xudong Zhou
Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
Dai Yamazaki
Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
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- A dynamic von Mises-based model to evaluate the impact of urbanization and climate change on flood timing in Yangtze and Huaihe River Basins, China P. Xu et al. https://doi.org/10.1016/j.jhydrol.2024.131120
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- Dual effects of climate change and socioeconomic development on flood exposure in the Yellow River Basin, China Y. Sun et al. https://doi.org/10.1016/j.ejrh.2025.102504
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- Deciphering the daily spatiotemporal dynamics and mechanisms of floods in the Tarim Basin desert region A. Tursun et al. https://doi.org/10.1016/j.ejrh.2026.103158
- Flood mapping approaches: a review of models, data accuracy, limitations, and future perspectives A. Abd Rahman et al. https://doi.org/10.1007/s11069-026-08293-5
- Sea level rise amplifies fluvial flooding in coastal megacities: a multi-scenario analysis P. Modi et al. https://doi.org/10.3178/hrl.24-00032
- Analysis and comparison of the flood simulations with the routing model CaMa-Flood at different spatial resolutions in the CONUS R. Jiang et al. https://doi.org/10.1016/j.envsoft.2024.106305
- Implementation of Risk-Based Approaches in Urban Land Use Planning—The Example of the City of Erftstadt, Germany S. Greiving et al. https://doi.org/10.3390/su152115340
- A Global Map for Selecting Stationary and Nonstationary Methods to Estimate Extreme Floods Z. Li et al. https://doi.org/10.3390/w15213835
- National-level resilience-informed risk scoring approach: Generalized socio-physical flood risk factor for buildings A. Ewis & O. Nofal https://doi.org/10.1016/j.ijdrr.2026.106193
- Assessment of Corporate Financial Flood Risks Due to Property Damage and Business Interruption Loss M. Abe & P. Adriaens https://doi.org/10.1007/s13753-025-00638-1
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- CaMa-Flood-GPU: a GPU-based hydrodynamic model implementation for scalable global simulations S. Kang et al. https://doi.org/10.5194/gmd-19-5623-2026
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- Potential effects of internal dam-break in Stare Miasto Reservoir in Poland T. Dysarz et al. https://doi.org/10.1016/j.ejrh.2024.101801
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- Climate change-induced floods disrupt intercity mobility in China: A national-scale assessment Q. Yao et al. https://doi.org/10.1016/j.tbs.2025.101132
- Flood volume allocation method for flood hazard mapping using river model with levee scheme M. Aslam et al. https://doi.org/10.5194/gmd-19-3709-2026
- Futuristic flood risks assessment, in the Upper Vellar Basin, integrating AHP and bivariate analysis S. M & S. Nanda https://doi.org/10.1016/j.asr.2024.08.030
Saved (final revised paper)
Latest update: 17 Jul 2026
Short summary
Since both the frequency and magnitude of flood will increase by climate change, information on spatial distributions of potential inundation depths (i.e., flood-hazard map) is required. We developed a method for constructing realistic future flood-hazard maps which addresses issues due to biases in climate models. A larger population is estimated to face risk in the future flood-hazard map, suggesting that only focusing on flood-frequency change could cause underestimation of future risk.
Since both the frequency and magnitude of flood will increase by climate change, information on...
