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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17 citations as recorded by crossref.
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- Implementation of Risk-Based Approaches in Urban Land Use Planning—The Example of the City of Erftstadt, Germany S. Greiving et al. 10.3390/su152115340
- A Global Map for Selecting Stationary and Nonstationary Methods to Estimate Extreme Floods Z. Li et al. 10.3390/w15213835
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- The Socio-Economic Effects of Floods and Ways to Prevent Them: A Case Study of the Khazir River Basin, Northern Iraq A. AL-Hussein et al. 10.3390/w15244271
- Comprehensive analysis of data aggregation techniques for flood vulnerability and bivariate flood risk mapping of a coastal urban floodplain V. Nandam & P. Patel 10.1016/j.ijdrr.2025.105330
- Land use and land cover classification on high-resolution UAV images for heavy rainfall hazard maps using deep neural networks D. Sprute et al. 10.1016/j.rsase.2025.101609
- Potential effects of internal dam-break in Stare Miasto Reservoir in Poland T. Dysarz et al. 10.1016/j.ejrh.2024.101801
- Cross-regional and multi-entity resource coordination can enhance the supply of disaster relief materials during flood events in China Q. Yao et al. 10.1038/s43247-025-02461-4
- Assessment of Climate Change Impact on Flood Hazard Zones T. Dysarz et al. 10.1007/s11269-024-04002-8
- Climate Risk Assessment Framework in Real Estate: A Focus on Flooding S. Wu et al. 10.3390/su16219577
- Dual effects of climate change and socioeconomic development on flood exposure in the Yellow River Basin, China Y. Sun et al. 10.1016/j.ejrh.2025.102504
- Futuristic flood risks assessment, in the Upper Vellar Basin, integrating AHP and bivariate analysis S. M & S. Nanda 10.1016/j.asr.2024.08.030
17 citations as recorded by crossref.
- Sea level rise amplifies fluvial flooding in coastal megacities: a multi-scenario analysis P. Modi et al. 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. 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. 10.3390/su152115340
- A Global Map for Selecting Stationary and Nonstationary Methods to Estimate Extreme Floods Z. Li et al. 10.3390/w15213835
- 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. 10.1016/j.jhydrol.2024.131120
- DEVELOPMENT OF AN AUTOMATIC RIVER LEVEE DETECTION METHOD APPLICABLE TO A WIDE AREA USING A HIGH-RESOLUTION DEM Y. TSUMURA et al. 10.2208/jscejj.23-16130
- Assessment of Corporate Financial Flood Risks Due to Property Damage and Business Interruption Loss M. Abe & P. Adriaens 10.1007/s13753-025-00638-1
- A Nationwide Flood Forecasting System for Saudi Arabia: Insights from the Jeddah 2022 Event G. Sofia et al. 10.3390/w16141939
- The Socio-Economic Effects of Floods and Ways to Prevent Them: A Case Study of the Khazir River Basin, Northern Iraq A. AL-Hussein et al. 10.3390/w15244271
- Comprehensive analysis of data aggregation techniques for flood vulnerability and bivariate flood risk mapping of a coastal urban floodplain V. Nandam & P. Patel 10.1016/j.ijdrr.2025.105330
- Land use and land cover classification on high-resolution UAV images for heavy rainfall hazard maps using deep neural networks D. Sprute et al. 10.1016/j.rsase.2025.101609
- Potential effects of internal dam-break in Stare Miasto Reservoir in Poland T. Dysarz et al. 10.1016/j.ejrh.2024.101801
- Cross-regional and multi-entity resource coordination can enhance the supply of disaster relief materials during flood events in China Q. Yao et al. 10.1038/s43247-025-02461-4
- Assessment of Climate Change Impact on Flood Hazard Zones T. Dysarz et al. 10.1007/s11269-024-04002-8
- Climate Risk Assessment Framework in Real Estate: A Focus on Flooding S. Wu et al. 10.3390/su16219577
- Dual effects of climate change and socioeconomic development on flood exposure in the Yellow River Basin, China Y. Sun et al. 10.1016/j.ejrh.2025.102504
- Futuristic flood risks assessment, in the Upper Vellar Basin, integrating AHP and bivariate analysis S. M & S. Nanda 10.1016/j.asr.2024.08.030
Latest update: 05 Jul 2025
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...
