title: LID-BMPs planning for urban runoff control and the case study in China.
abstract: Low Impact Development Best Management Practices (LID-BMPs) have in recent years received much recognition as cost-effective measures for mitigating urban runoff impacts. In the present paper, a procedure for LID-BMPs planning and analysis using a comprehensive decision support tool was proposed. A case study was conducted to the planning of an LID-BMPs implementation effort at a college campus in Foshan, Guangdong Province, China. By examining information obtained, potential LID-BMPs were first selected. SUSTAIN was then used to analyze four runoff control scenarios, namely: pre-development scenario; basic scenario (existing campus development plan without BMP control); Scenario 1 (least-cost BMPs implementation); and, Scenario 2 (maximized BMPs performance). A sensitivity analysis was also performed to assess the impact of the hydrologic and water quality parameters. The optimal solution for each of the two LID-BMPs scenarios was obtained by using the non-dominated sorting genetic algorithm-II (NSGA-II). Finally, the cost-effectiveness of the LID-BMPs implementation scenarios was examined by determining the incremental cost for a unit improvement of control.
authors.affiliation: School of Environment, Tsinghua University, Beijing 100084, China. Electronic address: jhf@tsinghua.edu.cn.
authors.forename: Haifeng
authors.initials: H
authors.lastname: Jia
authors.affiliation: College of Engineering, China Agricultural University, Beijing 100083, China. Electronic address: Yao_hr@sina.com.
authors.forename: Hairong
authors.initials: H
authors.lastname: Yao
authors.affiliation: School of Environment, Tsinghua University, Beijing 100084, China. Electronic address: thresiahehe@gmail.com.
authors.forename: Ying
authors.initials: Y
authors.lastname: Tang
authors.affiliation: Department of Civil & Environmental Engineering, University of Virginia, Charlottesville, VA, USA. Electronic address: sly@cms.mail.virginia.edu.
authors.forename: Shaw L
authors.initials: SL
authors.lastname: Yu
authors.affiliation: US Environmental Protection Agency, National Risk Management Research Laboratory, Urban Watershed Management Branch, Edison, NJ, USA. Electronic address: rfield39@gmail.com.
authors.forename: Richard
authors.initials: R
authors.lastname: Field
authors.affiliation: US Environmental Protection Agency, National Risk Management Research Laboratory, Urban Watershed Management Branch, Edison, NJ, USA. Electronic address: tafuri.anthony@epa.gov.
authors.forename: Anthony N
authors.initials: AN
authors.lastname: Tafuri
mesh_terms: D002681:China; D002947:Cities; D003247:Conservation of Natural Resources / Q000379:methods*; D003362:Cost-Benefit Analysis; D003661:Decision Support Techniques; D004323:Drainage, Sanitary / Q000379:methods*; D010934:Planning Techniques; D011891:Rain; D014872:Water Movements; D060753:Water Quality
keywords: Decision support system for urban runoff control; Low impact development best management practices (LID-BMPs); Optimization; Planning methodology; SUSTAIN