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Risk Assessment of Campus Waterlogging and Evacuation Route Planning

Author

Listed:
  • Jing Feng

    (Tianjin University)

  • Yu Tian

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Institute of Water Resources and Hydropower Research)

  • Zhaolong Xie

    (Purdue University West Lafayette)

  • Hao Wang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Institute of Water Resources and Hydropower Research)

Abstract

For university campuses with dense populations and public facilities, assessing flood risks and planning evacuation routes to cope with frequent urban flooding are of great practical significance for campus flood mitigation and emergency management. In this work, by constructing a SWMM-WCA2D coupled rainfall and flooding model, a high-precision 2D flooding simulation of a campus is realized. The NSE of the coupled model in the calibration and validation stages is greater than 0.9, and the MAE is close to 0. On the basis of the simulation scenario of the rainfall–flood model, the waterlogging risk assessment method of “danger–vulnerability” is used. Moreover, considering the periodic changes in vulnerability to flood emergencies, the risk of campus waterlogging under different rainfall return periods can be divided into three levels: “low”, “medium” and “high”. Under rainfall conditions with a return period of T = 100 years, the area of high-risk zones on the campus exceeds 2.5 ha2 at different time intervals. Finally, the impacts of high-risk areas of flooding on buildings and roads and the capacity of shelter buildings are considered, and a safe and efficient evacuation route is planned via Dijkstra’s algorithm. Dijkstra’s algorithm is innovatively applied to route planning for waterlogging disasters. The results improve the ability to cope with waterlogging events, ensuring the safety of life and property and providing technical support for urban flood control and disaster prevention.

Suggested Citation

  • Jing Feng & Yu Tian & Zhaolong Xie & Hao Wang, 2025. "Risk Assessment of Campus Waterlogging and Evacuation Route Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(7), pages 3071-3107, May.
    • Handle: RePEc:spr:waterr:v:39:y:2025:i:7:d:10.1007_s11269-024-04087-1
    DOI: 10.1007/s11269-024-04087-1
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    References listed on IDEAS

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    1. Yao Du & Qiongfang Li & Pengfei He & Zhenhua Zou & Zhengmo Zhou & Shuhong Xu & Xingye Han & Tianshan Zeng, 2023. "Simultaneous Optimization of SWMM Parameters by the Dynamic System Response Curve with Multi-Objective Function," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(13), pages 5061-5079, October.
    2. Siwei Cheng & Mingxiang Yang & Chenglin Li & Houlei Xu & Changli Chen & Dewei Shu & Yunzhong Jiang & Yunpeng Gui & Ningpeng Dong, 2024. "An Improved Coupled Hydrologic-Hydrodynamic Model for Urban Flood Simulations Under Varied Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(14), pages 5523-5539, November.
    3. Linhan Yang & Jianzhu Li & Aiqing Kang & Shuai Li & Ping Feng, 2020. "The Effect of Nonstationarity in Rainfall on Urban Flooding Based on Coupling SWMM and MIKE21," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1535-1551, March.
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