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Assessment of Rainstorm Waterlogging Disaster Risk in Rapidly Urbanizing Areas Based on Land Use Scenario Simulation: A Case Study of Jiangqiao Town in Shanghai, China

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  • Hui Xu

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
    Key Laboratory of Resilient Cities and Integrated Risk Management, Shanghai Emergency Management Bureau, Shanghai 200003, China)

  • Junlong Gao

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Xinchun Yu

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Qianqian Qin

    (Planning School of Architecture Planning and Landscape, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Shiqiang Du

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Jiahong Wen

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
    Key Laboratory of Resilient Cities and Integrated Risk Management, Shanghai Emergency Management Bureau, Shanghai 200003, China)

Abstract

The impact of flooding on cities is becoming increasingly significant in the context of climate change and rapid urbanization. Based on the analysis of the land use changes and rainstorm waterlogging inundation scenarios of Jiangqiao Town from 1980 to 2020, a scenario analysis was conducted to simulate and assess the rainstorm waterlogging disaster risk in 2040 under three land use scenarios (a natural development scenario, Scenario ND; an economic growth scenario, Scenario EG; and an ecological development priority scenario, Scenario EP) and three rainstorm scenarios with return periods of 10, 50, and 100 years. The following results were found: (1) Land use change is a significant factor in the risk of urban rainstorm waterlogging disaster caused by surface runoff and inundation depth change. In particular, the resultant increase in impermeable surfaces such as residential land and industrial land and the decrease in farmland during urbanization would lead to an increase in urban rainstorm waterlogging disaster risk. (2) Under three rainstorm scenarios, the future land use exposure elements and losses are consistent in terms of spatial distribution; from 10-year to 100-year return periods, they manifest as an expansion from the south to the surroundings, especially to the central region of the study area. The locations at risk are mainly distributed in the central and southern regions of Jiangqiao Town. (3) The economic losses are different in different land use scenarios and rainstorm scenarios. In the context of rainstorm scenarios with return periods of 10, 50, and 100 years, the total losses in land use scenario ND are CNY 560 million, CNY 890 million, and CNY 1.07 billion; those in land use scenario EG are CNY 630 million, CNY 980 million, and CNY 1.19 billion; and those in land use scenario EP are CNY 480 million, CNY 750 million, and CNY 910 million. The total losses of land use EP are the lowest by comparison. So, the influence of land use change on the rainstorm waterlogging disaster risk shows obvious differences among different rainstorm scenarios. This study has important reference value for decision making on land use management and flood disaster risk management in rapidly urbanizing areas.

Suggested Citation

  • Hui Xu & Junlong Gao & Xinchun Yu & Qianqian Qin & Shiqiang Du & Jiahong Wen, 2024. "Assessment of Rainstorm Waterlogging Disaster Risk in Rapidly Urbanizing Areas Based on Land Use Scenario Simulation: A Case Study of Jiangqiao Town in Shanghai, China," Land, MDPI, vol. 13(7), pages 1-18, July.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1088-:d:1438329
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    1. Quoc Bao Pham & Sk Ajim Ali & Elzbieta Bielecka & Beata Calka & Agata Orych & Farhana Parvin & Ewa Łupikasza, 2022. "Flood vulnerability and buildings’ flood exposure assessment in a densely urbanised city: comparative analysis of three scenarios using a neural network approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 1043-1081, September.
    2. Athiwat Phinyoyang & Suwit Ongsomwang, 2021. "Optimizing Land Use and Land Cover Allocation for Flood Mitigation Using Land Use Change and Hydrological Models with Goal Programming, Chaiyaphum, Thailand," Land, MDPI, vol. 10(12), pages 1-41, November.
    3. Jean Hounkpè & Bernd Diekkrüger & Abel A. Afouda & Luc Olivier Crepin Sintondji, 2019. "Land use change increases flood hazard: a multi-modelling approach to assess change in flood characteristics driven by socio-economic land use change scenarios," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(3), pages 1021-1050, September.
    4. Xinmeng Shan & Jie Yin & Jun Wang, 2022. "Risk assessment of shanghai extreme flooding under the land use change scenario," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 1039-1060, January.
    5. Arna Nishita Nithila & Paromita Shome & Ishrat Islam, 2022. "Waterlogging induced loss and damage assessment of urban households in the monsoon period: a case study of Dhaka, Bangladesh," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 1565-1597, February.
    6. Ravindra Kumar Verma & Sangeeta Verma & Surendra Kumar Mishra & Ashish Pandey, 2021. "SCS-CN-Based Improved Models for Direct Surface Runoff Estimation from Large Rainfall Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2149-2175, May.
    7. H. Moel & B. Jongman & H. Kreibich & B. Merz & E. Penning-Rowsell & P. Ward, 2015. "Flood risk assessments at different spatial scales," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(6), pages 865-890, August.
    8. S. Balica & N. Wright & F. Meulen, 2012. "A flood vulnerability index for coastal cities and its use in assessing climate change impacts," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 73-105, October.
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