Next Article in Journal
Yield Performance and Physiological Response of a Maize Early Hybrid Grown in Tunnel and Open Air under Different Water Regimes
Previous Article in Journal
Knowledge Structure of the Application of High-Performance Computing: A Co-Word Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

1
State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China
2
Shanghai Bibo Water Design and Research Center, Shanghai 200233, China
3
Shanghai Water Planning and Design Research Institute, Shanghai 200233, China
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(20), 11250; https://doi.org/10.3390/su132011250
Submission received: 12 September 2021 / Revised: 5 October 2021 / Accepted: 7 October 2021 / Published: 12 October 2021

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 km2 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 drainage network; real-time model; flooding early warning; Smart Water; risk assessment

Share and Cite

MDPI and ACS Style

Shi, Z.; Shen, Q.; Tan, Q.; Li, T. Development of Integrated Flooding Early Warning and Rainfall Runoff Management Platform for Downtown Area of Shanghai. Sustainability 2021, 13, 11250. https://doi.org/10.3390/su132011250

AMA Style

Shi Z, Shen Q, Tan Q, Li T. Development of Integrated Flooding Early Warning and Rainfall Runoff Management Platform for Downtown Area of Shanghai. Sustainability. 2021; 13(20):11250. https://doi.org/10.3390/su132011250

Chicago/Turabian Style

Shi, Zhenbao, Qingran Shen, Qiong Tan, and Tian Li. 2021. "Development of Integrated Flooding Early Warning and Rainfall Runoff Management Platform for Downtown Area of Shanghai" Sustainability 13, no. 20: 11250. https://doi.org/10.3390/su132011250

APA Style

Shi, Z., Shen, Q., Tan, Q., & Li, T. (2021). Development of Integrated Flooding Early Warning and Rainfall Runoff Management Platform for Downtown Area of Shanghai. Sustainability, 13(20), 11250. https://doi.org/10.3390/su132011250

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop