Evaluating Green Stormwater Infrastructure strategies efficiencies in a rapidly urbanizing catchment using SWMM-based TOPSIS

Luan, Bo1,2; Yin, Ruixue2; Xu, Peng1,3; Wang, Xin2; Yang, Xiaomin2; Zhang, Lan4; Tang, Xiaoyan1

2019-06-20

10.1016/j.jclepro.2019.03.028

Journal of Cleaner Production   影响因子和分区

0959-6526

1879-1786

The dramatic changes in Land-Use and Land-Cover (LULC) in urbanizing areas have led to problems such as urban flooding and water pollution. Green Stormwater Infrastructure (GSI) has become a new approach to mitigate these problems. The comprehensive assessment of GSI strategies and their combinations is the foundation for decision making regarding GSI implementation. Using the rapidly developing Western New City of Zhuhai in China as an example, this study applies Storm Water Management Model (SWMM) to evaluate Single and Combined GSI strategies. Four indicators-runoff volume control, peak flow reduction, pollutant removal, and economic cost-are selected to conduct a Multi-Criteria Decision Analysis with the use of Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The performance evaluation of Single and Combined GSIs suggests that: (i) there may exist linear or nonlinear relation between the efficiency of a Single GSI and the size of its implementation. (ii) the optimal LULC-cost effective range may be identified for certain GSI, and (iii) Distributed-Centralized Combined GSIs are superior to other strategies in regard to reduction of runoff, TSS and peak flow. The TOPSIS assessment indicates that the cost weight (w(c)) has significant impact on the multi-criteria decision-making, and all strategies may be classified into three categories: effectiveness, cost, and stability. The results of TOPSIS show that the Distributed-Centralized Combined GSIs (scenarios S3, S5) are the best options if w(c) is not an important factor, while the Centralized Single GSI (S6) is the best option if w(c) becomes more important. Furthermore, this study can provide the well-informed alternative stormwater management plans and GSI decisions for local planners and water resource managers in the rapidly urbanizing sponge cities. (C) 2019 Elsevier Ltd. All rights reserved.

Green stormwater infrastructure Sustainable stormwater management SWMM TOPSIS Sponge city Scenario analysis

SCI ; EI

英语

通讯

Zhuhai Government[ZHGJ2016-016]

Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology

Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences

WOS:000466253100057

ELSEVIER SCI LTD

20191406723419

Catchments ; Cost benefit analysis ; Cost effectiveness ; Cost reduction ; Efficiency ; Engineering geology ; Land use ; Runoff ; Stability criteria ; Storm sewers ; Storms ; Water management ; Water pollution

Urban and Regional Planning and Development:403 ; Flood Control:442.1 ; Precipitation:443.3 ; Sewage:452.1 ; Water Pollution:453 ; Industrial Economics:911.2 ; Management:912.2 ; Production Engineering:913.1 ; Systems Science:961

Web of Science

1.Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China
2.Peking Univ, Shenzhen Inst, Green Infrastruct Inst, Shenzhen 518057, Peoples R China
3.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China
4.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77842 USA

Luan, Bo,Yin, Ruixue,Xu, Peng,et al. Evaluating Green Stormwater Infrastructure strategies efficiencies in a rapidly urbanizing catchment using SWMM-based TOPSIS[J]. Journal of Cleaner Production,2019,223:680-691.

Luan, Bo.,Yin, Ruixue.,Xu, Peng.,Wang, Xin.,Yang, Xiaomin.,...&Tang, Xiaoyan.(2019).Evaluating Green Stormwater Infrastructure strategies efficiencies in a rapidly urbanizing catchment using SWMM-based TOPSIS.Journal of Cleaner Production,223,680-691.

Luan, Bo,et al."Evaluating Green Stormwater Infrastructure strategies efficiencies in a rapidly urbanizing catchment using SWMM-based TOPSIS".Journal of Cleaner Production 223(2019):680-691.