Affiliation:
1. Key Laboratory of Urban Water Supply, Water Saving and Water Environment Governance in the Yangtze River Delta of Ministry of Water Resources, National Engineering Research Center for Urban Pollution Control, State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
2. Shanghai Urban Construction Design and Research Institute (Group) Co., Ltd., Shanghai 200125, China
Abstract
In recent years, China’s urban smart water management has focused on enhancing the quality, efficiency, energy conservation, flood prevention, and control of combined sewer overflow (CSO) and urban waterlogging. To evaluate the combined sewer system’s operation efficiency effectively, a comprehensive evaluation system was established. This system incorporated expert scoring and the coefficient of variation method, considering 31 specific indexes to assess six key aspects: CSO control, waterlogging control, stable wastewater transportation, pipeline management and maintenance, energy conservation, and smart water affairs. The AHP—Fuzzy comprehensive evaluation was employed for evaluation, combining AHP for index weighting and fuzzy comprehensive evaluation for quantitative scoring. The system was applied to assess the operation efficiency of a specific area in Shanghai from 2020 to 2022. Results showed progress in CSO control and energy conservation, with operation efficiency improving from low in 2020 to moderate in 2021 and good in 2022. However, waterlogging control and pipeline management still require improvement in the combined sewer area. Overall, the evaluation system provides valuable insights into the system’s performance, identifying areas for targeted enhancement and emphasizing the need for further improvements to achieve optimal operation efficiency.
Funder
the Project of Science and Technology Commission of Shanghai Municipality
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Reference45 articles.
1. Review of Intelligent Decision-Making Technologies for Urban Drainage System;Yin;J. Tongji University. Nat. Sci.,2021
2. Chen, F. (2016). Research on Evaluation and Optimisation of Flood and Overflow Control Capacity of Urban Drainage System, Tsinghua University.
3. Selecting a series of storm events for a model-based assessment of combined sewer overflows;Leimgruber;Urban Water J.,2018
4. Zhang, D., Shen, J., Liu, P., Zhang, Q., and Sun, F. (2020). Use of Fuzzy Analytic Hierarchy Process and Environmental Gini Coefficient for Allocation of Regional Flood Drainage Rights. Int. J. Environ. Res. Public Health, 17.
5. Structural Condition Assessment of Urban Drainage Pipes Based on Particle Swarm Optimization-Extreme Learning Machine;Zheng;J. Tongji Univ. (Nat. Sci.),2020
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献