Articles | Volume 16, issue 5
https://doi.org/10.5194/nhess-16-1063-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-1063-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Statistical model for economic damage from pluvial floods in Japan using rainfall data and socioeconomic parameters
Rajan Bhattarai
CORRESPONDING AUTHOR
Atmosphere and Ocean Research Institute, The University of Tokyo, 5-1-5, Kashiwano-ha, Kashiwashi, Chiba, 277-8564, Japan
Department of Irrigation, Government of Nepal, Jawalakhel, Lalitpur, Nepal
Kei Yoshimura
Atmosphere and Ocean Research Institute, The University of Tokyo, 5-1-5, Kashiwano-ha, Kashiwashi, Chiba, 277-8564, Japan
Shinta Seto
Graduate School of Engineering, Nagasaki University, 1-14 Bukyomachi, Nagasaki, Japan
Shinichiro Nakamura
Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan
Taikan Oki
Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, Japan
Viewed
Total article views: 3,122 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Oct 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,700 | 1,280 | 142 | 3,122 | 132 | 131 |
- HTML: 1,700
- PDF: 1,280
- XML: 142
- Total: 3,122
- BibTeX: 132
- EndNote: 131
Total article views: 2,551 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 May 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,419 | 1,017 | 115 | 2,551 | 113 | 108 |
- HTML: 1,419
- PDF: 1,017
- XML: 115
- Total: 2,551
- BibTeX: 113
- EndNote: 108
Total article views: 571 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Oct 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
281 | 263 | 27 | 571 | 19 | 23 |
- HTML: 281
- PDF: 263
- XML: 27
- Total: 571
- BibTeX: 19
- EndNote: 23
Cited
19 citations as recorded by crossref.
- Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. 10.1007/s11069-024-06756-1
- Assessment of the flood damage reduction effect of climate change adaptation policies under temperature increase scenarios S. Seo et al. 10.1007/s11027-024-10105-9
- Exploring the Optimal Cost-Benefit Solution for a Low Impact Development Layout by Zoning, as Well as Considering the Inundation Duration and Inundation Depth J. Wu et al. 10.3390/su12124990
- Socio‐Environmental Vulnerability Mapping for Environmental and Flood Resilience Assessment: The Case of Ageing and Poverty in the City of Wrocław, Poland S. Szewrański et al. 10.1002/ieam.4077
- Macroscale impact assessment of flood damage reduction from climate change adaptation policies H. Jee et al. 10.1111/jfr3.12969
- Fluvial Flood Losses in the Contiguous United States Under Climate Change M. Rashid et al. 10.1029/2022EF003328
- Systemic Inequity in Urban Flood Exposure and Damage Compensation S. Mobini et al. 10.3390/w12113152
- Determination of Optimal Meshness of Sewer Network Based on a Cost—Benefit Analysis J. Reyes-Silva et al. 10.3390/w13081090
- An Evaluation Framework for Urban Pluvial Flooding Based on Open-Access Data J. Reyes-Silva et al. 10.3390/w15010046
- Real-Time Early Warning System Design for Pluvial Flash Floods—A Review M. Acosta-Coll et al. 10.3390/s18072255
- Building level flood exposure analysis using a hydrodynamic model R. Bertsch et al. 10.1016/j.envsoft.2022.105490
- Estimation of the effect of future changes in precipitation in Japan on pluvial flood damage and the damage reduction effect of mitigation/adaptation measures H. Yanagihara et al. 10.1371/journal.pclm.0000039
- Urban flooding response to rainstorm scenarios under different return period types H. Zhang et al. 10.1016/j.scs.2022.104184
- Predicting flood damage using the flood peak ratio and Giovanni Flooded Fraction H. Ghaedi et al. 10.1371/journal.pone.0271230
- Effectiveness of low-impact development for urban inundation risk mitigation under different scenarios: a case study in Shenzhen, China J. Wu et al. 10.5194/nhess-18-2525-2018
- Pluvial Flood Risk Assessment Tool (PFRA) for Rainwater Management and Adaptation to Climate Change in Newly Urbanised Areas S. Szewrański et al. 10.3390/w10040386
- Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments B. Szeląg et al. 10.3390/w14131997
- Investigating potential future changes in surface water flooding hazard and impact A. Rudd et al. 10.1002/hyp.13572
- A Location Intelligence System for the Assessment of Pluvial Flooding Risk and the Identification of Storm Water Pollutant Sources from Roads in Suburbanised Areas S. Szewrański et al. 10.3390/w10060746
19 citations as recorded by crossref.
- Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. 10.1007/s11069-024-06756-1
- Assessment of the flood damage reduction effect of climate change adaptation policies under temperature increase scenarios S. Seo et al. 10.1007/s11027-024-10105-9
- Exploring the Optimal Cost-Benefit Solution for a Low Impact Development Layout by Zoning, as Well as Considering the Inundation Duration and Inundation Depth J. Wu et al. 10.3390/su12124990
- Socio‐Environmental Vulnerability Mapping for Environmental and Flood Resilience Assessment: The Case of Ageing and Poverty in the City of Wrocław, Poland S. Szewrański et al. 10.1002/ieam.4077
- Macroscale impact assessment of flood damage reduction from climate change adaptation policies H. Jee et al. 10.1111/jfr3.12969
- Fluvial Flood Losses in the Contiguous United States Under Climate Change M. Rashid et al. 10.1029/2022EF003328
- Systemic Inequity in Urban Flood Exposure and Damage Compensation S. Mobini et al. 10.3390/w12113152
- Determination of Optimal Meshness of Sewer Network Based on a Cost—Benefit Analysis J. Reyes-Silva et al. 10.3390/w13081090
- An Evaluation Framework for Urban Pluvial Flooding Based on Open-Access Data J. Reyes-Silva et al. 10.3390/w15010046
- Real-Time Early Warning System Design for Pluvial Flash Floods—A Review M. Acosta-Coll et al. 10.3390/s18072255
- Building level flood exposure analysis using a hydrodynamic model R. Bertsch et al. 10.1016/j.envsoft.2022.105490
- Estimation of the effect of future changes in precipitation in Japan on pluvial flood damage and the damage reduction effect of mitigation/adaptation measures H. Yanagihara et al. 10.1371/journal.pclm.0000039
- Urban flooding response to rainstorm scenarios under different return period types H. Zhang et al. 10.1016/j.scs.2022.104184
- Predicting flood damage using the flood peak ratio and Giovanni Flooded Fraction H. Ghaedi et al. 10.1371/journal.pone.0271230
- Effectiveness of low-impact development for urban inundation risk mitigation under different scenarios: a case study in Shenzhen, China J. Wu et al. 10.5194/nhess-18-2525-2018
- Pluvial Flood Risk Assessment Tool (PFRA) for Rainwater Management and Adaptation to Climate Change in Newly Urbanised Areas S. Szewrański et al. 10.3390/w10040386
- Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments B. Szeląg et al. 10.3390/w14131997
- Investigating potential future changes in surface water flooding hazard and impact A. Rudd et al. 10.1002/hyp.13572
- A Location Intelligence System for the Assessment of Pluvial Flooding Risk and the Identification of Storm Water Pollutant Sources from Roads in Suburbanised Areas S. Szewrański et al. 10.3390/w10060746
Saved (preprint)
Latest update: 13 Dec 2024
Short summary
The assessment of flood risk is important for policymakers to evaluate flood damage and for disaster preparation. Large population densities and high property concentration make cities more vulnerable to floods and have higher damage per year. In Japan, about one billion USD in damage occurs annually due to floods related to rainfall only. In this paper, we report a damage occurrence probability function and a damage cost function for pluvial flood damage to estimate annual flood damage.
The assessment of flood risk is important for policymakers to evaluate flood damage and for...
Altmetrics
Final-revised paper
Preprint