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Development of Integrated Flooding Early Warning and Rainfall Runoff Management Platform for Downtown Area of Shanghai

Author

Listed:
  • Zhenbao Shi

    (State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China
    Shanghai Bibo Water Design and Research Center, Shanghai 200233, China)

  • Qingran Shen

    (Shanghai Bibo Water Design and Research Center, Shanghai 200233, China)

  • Qiong Tan

    (Shanghai Water Planning and Design Research Institute, Shanghai 200233, China)

  • Tian Li

    (State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China)

Abstract

To enhance the capacity of Shanghai’s drainage network to guard against flooding, this study used data obtained from an urban drainage network and spatial geological information to conduct precise analysis on an area of approximately 31 km 2 with various land uses in downtown Shanghai and to establish a two-dimensional model. Based on the two-dimensional model, an integrated urban flooding early warning and rainfall runoff management platform was developed through combining meteorological data and real-time remote sensing data of the drainage network operation. Through precise simulation of the rainstorm runoff process, projection of the scope and magnitude of urban surface runoff hazard impact, issuance of flooding forecasts, and provision of hazard early warning and decision-making support, the developed platform is capable of providing risk assessment of the drainage system and early warning of flooding risk.

Suggested Citation

  • Zhenbao Shi & Qingran Shen & Qiong Tan & Tian Li, 2021. "Development of Integrated Flooding Early Warning and Rainfall Runoff Management Platform for Downtown Area of Shanghai," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11250-:d:654528
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    Citations

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    Cited by:

    1. Joško Trošelj & Han Soo Lee & Lena Hobohm, 2023. "Enhancing a Real-Time Flash Flood Predictive Accuracy Approach for the Development of Early Warning Systems: Hydrological Ensemble Hindcasts and Parameterizations," Sustainability, MDPI, vol. 15(18), pages 1-33, September.
    2. Huan Xu & Ying Wang & Xiaoran Fu & Dong Wang & Qinghua Luan, 2023. "Urban Flood Modeling and Risk Assessment with Limited Observation Data: The Beijing Future Science City of China," IJERPH, MDPI, vol. 20(5), pages 1-23, March.

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