Cost-Effectiveness Analysis of Green–Gray Stormwater Control Measures for Non-Point Source Pollution

The control of non-point source pollution (NPS) is an essential target in urban stormwater control. Green stormwater control measures (SCMs) have remarkable efficiency for pollution control, but suffer from high maintenance, operation costs and poor performance in high-intensity rainfall events. Tak...

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Main Authors: Shi Qiu, Haiwei Yin, Jinling Deng, Muhan Li
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/17/3/998
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spelling doaj-d34fdf03f8924a59af43ae9b09ad6ca52020-11-25T01:46:20ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012020-02-0117399810.3390/ijerph17030998ijerph17030998Cost-Effectiveness Analysis of Green–Gray Stormwater Control Measures for Non-Point Source PollutionShi Qiu0Haiwei Yin1Jinling Deng2Muhan Li3School of Architecture and Urban Planning, Nanjing University, Nanjing 210000, ChinaSchool of Architecture and Urban Planning, Nanjing University, Nanjing 210000, ChinaInternational Institute for Earth System Science, Nanjing University, Nanjing 210000, ChinaSchool of Architecture and Urban Planning, Nanjing University, Nanjing 210000, ChinaThe control of non-point source pollution (NPS) is an essential target in urban stormwater control. Green stormwater control measures (SCMs) have remarkable efficiency for pollution control, but suffer from high maintenance, operation costs and poor performance in high-intensity rainfall events. Taking the Guilin Road subwatershed in Rizhao, China, as a case study, a scheme for coupling gray and green stormwater control measures is proposed, and the gray SCMs are introduced to compensate for the shortcomings of green SCMs. The System for Urban Stormwater Treatment and Analysis Integration (SUSTAIN) model was employed to investigate the cost-effectiveness of three scenarios (green SCMs only, gray SCMs only, and coupled green−gray SCMs). The results show that the optimal solutions for the three scenarios cost USD 1.23, 0.79, and 0.80 million, respectively. The NPS control ability of the coupled green−gray scenario is found to be better than that of the other two scenarios under rainfall events above moderate rain. This study demonstrates that coupled green−gray stormwater control management can not only effectively control costs, but can also provide better pollution control in high-intensity rainfall events, making it an optimal scheme for effective prevention and control of urban non-point source pollution.https://www.mdpi.com/1660-4601/17/3/998rainfall-runoffsustain modelcost-effectiveness analysisurban non-point source pollutionmulti-scenarios analysishigh-intensity rainfall
collection DOAJ
language English
format Article
sources DOAJ
author Shi Qiu
Haiwei Yin
Jinling Deng
Muhan Li
spellingShingle Shi Qiu
Haiwei Yin
Jinling Deng
Muhan Li
Cost-Effectiveness Analysis of Green–Gray Stormwater Control Measures for Non-Point Source Pollution
International Journal of Environmental Research and Public Health
rainfall-runoff
sustain model
cost-effectiveness analysis
urban non-point source pollution
multi-scenarios analysis
high-intensity rainfall
author_facet Shi Qiu
Haiwei Yin
Jinling Deng
Muhan Li
author_sort Shi Qiu
title Cost-Effectiveness Analysis of Green–Gray Stormwater Control Measures for Non-Point Source Pollution
title_short Cost-Effectiveness Analysis of Green–Gray Stormwater Control Measures for Non-Point Source Pollution
title_full Cost-Effectiveness Analysis of Green–Gray Stormwater Control Measures for Non-Point Source Pollution
title_fullStr Cost-Effectiveness Analysis of Green–Gray Stormwater Control Measures for Non-Point Source Pollution
title_full_unstemmed Cost-Effectiveness Analysis of Green–Gray Stormwater Control Measures for Non-Point Source Pollution
title_sort cost-effectiveness analysis of green–gray stormwater control measures for non-point source pollution
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2020-02-01
description The control of non-point source pollution (NPS) is an essential target in urban stormwater control. Green stormwater control measures (SCMs) have remarkable efficiency for pollution control, but suffer from high maintenance, operation costs and poor performance in high-intensity rainfall events. Taking the Guilin Road subwatershed in Rizhao, China, as a case study, a scheme for coupling gray and green stormwater control measures is proposed, and the gray SCMs are introduced to compensate for the shortcomings of green SCMs. The System for Urban Stormwater Treatment and Analysis Integration (SUSTAIN) model was employed to investigate the cost-effectiveness of three scenarios (green SCMs only, gray SCMs only, and coupled green−gray SCMs). The results show that the optimal solutions for the three scenarios cost USD 1.23, 0.79, and 0.80 million, respectively. The NPS control ability of the coupled green−gray scenario is found to be better than that of the other two scenarios under rainfall events above moderate rain. This study demonstrates that coupled green−gray stormwater control management can not only effectively control costs, but can also provide better pollution control in high-intensity rainfall events, making it an optimal scheme for effective prevention and control of urban non-point source pollution.
topic rainfall-runoff
sustain model
cost-effectiveness analysis
urban non-point source pollution
multi-scenarios analysis
high-intensity rainfall
url https://www.mdpi.com/1660-4601/17/3/998
work_keys_str_mv AT shiqiu costeffectivenessanalysisofgreengraystormwatercontrolmeasuresfornonpointsourcepollution
AT haiweiyin costeffectivenessanalysisofgreengraystormwatercontrolmeasuresfornonpointsourcepollution
AT jinlingdeng costeffectivenessanalysisofgreengraystormwatercontrolmeasuresfornonpointsourcepollution
AT muhanli costeffectivenessanalysisofgreengraystormwatercontrolmeasuresfornonpointsourcepollution
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