Literature DB >> 32570310

Performance assessment of coupled green-grey-blue systems for Sponge City construction.

Linyuan Leng1, Xuhui Mao2, Haifeng Jia3, Te Xu4, Albert S Chen5, Dingkun Yin2, Guangtao Fu6.   

Abstract

In recent years, Sponge City has gained significant interests as a way of urban water management. The kernel of Sponge City is to develop a coupled green-grey-blue system which consists of green infrastructure at the source, grey infrastructure (i.e. drainage system) at the midway and receiving water bodies as the blue part at the terminal. However, the current approaches for assessing the performance of Sponge City construction are confined to green-grey systems and do not adequately reflect the effectiveness in runoff reduction and the impacts on receiving water bodies. This paper proposes an integrated assessment framework of coupled green-grey-blue systems on compliance of water quantity and quality control targets in Sponge City construction. Rainfall runoff and river system models are coupled to provide quantitative simulation evaluations of a number of indicators of land-based and river quality. A multi-criteria decision-making method, i.e., Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is adopted to rank design alternatives and identify the optimal alternative for Sponge City construction. The effectiveness of this framework is demonstrated in a typical plain river network area of Suzhou, China. The results demonstrate that the performance of Sponge City strategies increases with large scale deployment under smaller rainfall events. In addition, though surface runoff has a dilution effect on the river water quality, the control of surface pollutants can play a significant role in the river water quality improvement. This framework can be applied to Sponge City projects to achieve the enhancement of urban water management.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Green-grey-blue system; Low impact development; Performance assessment; Sponge City; TOPSIS

Year:  2020        PMID: 32570310     DOI: 10.1016/j.scitotenv.2020.138608

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Optimizing the Water Ecological Environment of Mining Cities in the Yangtze River Economic Belt Using the Cloud Model, CV-TOPSIS, and Coupling Coordination Degree.

Authors:  Ran Wang; Hao Lin; Jinhua Cheng; Zixi Xu; Haoying Feng; Yameng Tang
Journal:  Int J Environ Res Public Health       Date:  2022-02-21       Impact factor: 3.390

2.  SCC-UEFAS, an urban-ecological-feature based assessment system for sponge city construction.

Authors:  Zi-Tong Zhao; Hou-Ming Cheng; Sheng Wang; Hai-Yan Liu; Zi-Ming Song; Jun-Hui Zhou; Ji-Wei Pang; Shun-Wen Bai; Shan-Shan Yang; Jie Ding; Nan-Qi Ren
Journal:  Environ Sci Ecotechnol       Date:  2022-05-24

3.  Determining the Efficiency of the Sponge City Construction Pilots in China Based on the DEA-Malmquist Model.

Authors:  Heng Zhang; Qian Chang; Sui Li; Jiandong Huang
Journal:  Int J Environ Res Public Health       Date:  2022-09-06       Impact factor: 4.614

  3 in total

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