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Risk Assessment and Management Method of Urban Flood Disaster

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Abstract

Due to the failure of flood control and drainage infrastructure to match the rapidly growing urbanization process, urban flooding has become one of the most significant disasters faced today. It is essential to carry out the risk assessment of flood scientifically and study the optimal allocation of stormwater infrastructure in-depth. In this paper, a complete urban flooding risk assessment and management methodology is proposed by linking “scenario simulation”, “risk assessment” and “allocation optimization”, which is applied in Xiaozhai area of Xi’an, China. Based on the measured data and the results of the maximum water depth survey, an accurate coupled model of flooding in the study area was established, which was used to simulate the current situation and design scenarios. On the basis of the “hazard-vulnerability” framework, a multi-factor flood risk levels were assessed, and four risk gradations were mapped. Taking the results of risk analysis as the point of view, the allocation-effect functions are fitted by the polynomial curves and consisted as a part of objective function. Then, the optimal scenario is obtained by NSGA-III. The results show that the urban flood risk zoning is accurately screened, and the optimal scenario increases the runoff control rate from 54 to 85% compared with the traditional development scenario. The regional risk-free area doubles, the low-risk and medium-risk areas are reduced by a factor of 2 and 16, and the high-risk are all eliminated, with significant flood control effects. The cost savings are 127 million CNY compared to the initial scenario without optimization. The overall idea starts from flood formation, which provides a research method that can be applied to regions with similar problems.

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Data Availability

The datasets generated and analyzed during the current study are not publicly available, but are available from the corresponding author on reasonable request.

Code Availability

Costume code.

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Acknowledgements

We gratefully thank all the members of the research group on Non-point Source Pollution Control and Sponge City of Xi’an University of Technology for their efforts in experiments. We also gratefully thank PowerChina Northwest Engineering Corporation Limited for the basic data support.

Funding

This work was financially supported by the National Natural Science Foundation of China (52070157), Natural Science Foundation of Shaanxi Province (2019JM-347) and Construction of QIN CHUANG YUAN “Scientist + Engineer” Team in Shaanxi Province (2022KXJ-115).

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Authors and Affiliations

  1. State Key Laboratory of Eco-Hydraulics in the Northwest Arid Region of China, Xi’an University of Technology, 710048, Xi’an, China

    Jiake Li, Jiayu Gao, Yutong Yao & Yishuo Jiang

  2. Summit Technologies Company, 710075, Xi’an, China

    Ning Li

Authors
  1. Jiake Li
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  2. Jiayu Gao
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  3. Ning Li
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  4. Yutong Yao
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  5. Yishuo Jiang
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Contributions

Jiake Li: Conceptualization, Methodology, Funding acquisition, Writing - review & editing. Jiayu Gao: Validation, Formal analysis, Writing - original draft. Ning Li: Data curation, Writing - review & editing. Yutong Yao: Investigation, Validation. Yishuo Jiang: Investigation, Formal analysis.

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Correspondence to Jiake Li.

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Li, J., Gao, J., Li, N. et al. Risk Assessment and Management Method of Urban Flood Disaster. Water Resour Manage 37, 2001–2018 (2023). https://doi.org/10.1007/s11269-023-03467-3

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