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

Zhenbao Shi, Qingran Shen, Qiong Tan and Tian Li
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Zhenbao Shi: State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, 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

Sustainability, 2021, vol. 13, issue 20, 1-15

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.

Keywords: drainage network; real-time model; flooding early warning; Smart Water; risk assessment (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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