Study for green infrastructure approach on urban non-point source pollution control

Luan, Bo1,2; Yin, Rui-Xue2; Xu, Peng3; Zhai, Sheng-Qiang2; Wang, Xin2; Tang, Xiaoyan1

2019-04-20

中国环境科学   Impact Factor & Quartile

1000-6923

This study aimed to: (i) characterize the runoff pollution before and after urbanization; (ii) analyze the cost-effectiveness of different GI strategies and their combinations (CGIs); and (iii) provide the scientific basis for Multi-Objective Decision-Making for the Sponge City planning. Using the rapidly developing Western New City of Zhuhai as the case study, we analyzed the characteristics of the current urban rainfall-runoff pollution and the changes of pollution load before and after planning through field monitoring. To evaluate the performance and cost-effectiveness, six GI and CGI scenarios were considered with the use of SWMM modeling. The results indicated that: (1) under the current condition, heavy runoff pollution (inferior to water quality class V) was identified for roads and paved ground in the developed areas; (2) there existed obvious initial flush effect from roofs and ground; (3) after development, the runoff pollutant loads were 2.9~3.2 times as those under current conditions; (4) the CGI (source/source-terminal controls) yielded better overall performance than the single GIs, however its cost per unit of pollutant reduction was higher; (5) among the single GIs, the detention basin yielded the lowest cost per unit of reduction, and it also effectively reduced TN and TP; (6) bio-retention and vegetated swale also yielded low reduction cost, but they could not effectively reduce the pollutant load; and (7) the reduction cost per unit of permeable pavement is the most expensive among all considered single GI strategies. Overall, the cost-effectiveness performance of single GI was superior to the CGI in pollution control. The single GI strategies were more cost-effective compared to CGI strategies; however it was necessary to invest more to adopt the CGI strategies in order to achieve better pollution control results.
© 2019, Editorial Board of China Environmental Science. All right reserved.

EI

Chinese

Corresponding

Chinese Society for Environmental Sciences

20193407330828

Water pollution ; Decision making ; Pollution control ; Runoff ; Water quality

Flood Control:442.1 ; Surface Water:444.1 ; Water Analysis:445.2 ; Water Pollution:453 ; Industrial Economics:911.2 ; Management:912.2

EV Compendex

1.College of Environmental Sciences and Engineering, Peking University, Beijing; 100871, China
2.Peking University Shenzhen Graduate School, Shenzhen; 518057, China
3.School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen; 518055, China

Luan, Bo,Yin, Rui-Xue,Xu, Peng,et al. Study for green infrastructure approach on urban non-point source pollution control[J]. 中国环境科学,2019,39:1705-1714.

Luan, Bo,Yin, Rui-Xue,Xu, Peng,Zhai, Sheng-Qiang,Wang, Xin,&Tang, Xiaoyan.(2019).Study for green infrastructure approach on urban non-point source pollution control.中国环境科学,39,1705-1714.

Luan, Bo,et al."Study for green infrastructure approach on urban non-point source pollution control".中国环境科学 39(2019):1705-1714.