LID-BMPs planning for urban runoff control and the case study in China

Haifeng Jia; Hairong Yao; Ying Tang; Shaw L Yu; Richard Field; Anthony N Tafuri

doi:10.1016/j.jenvman.2014.10.003

LID-BMPs planning for urban runoff control and the case study in China

J Environ Manage. 2015 Feb 1:149:65-76. doi: 10.1016/j.jenvman.2014.10.003. Epub 2014 Nov 1.

Authors

Haifeng Jia¹, Hairong Yao², Ying Tang³, Shaw L Yu⁴, Richard Field⁵, Anthony N Tafuri⁶

Affiliations

¹ School of Environment, Tsinghua University, Beijing 100084, China. Electronic address: jhf@tsinghua.edu.cn.
² College of Engineering, China Agricultural University, Beijing 100083, China. Electronic address: Yao_hr@sina.com.
³ School of Environment, Tsinghua University, Beijing 100084, China. Electronic address: thresiahehe@gmail.com.
⁴ Department of Civil & Environmental Engineering, University of Virginia, Charlottesville, VA, USA. Electronic address: sly@cms.mail.virginia.edu.
⁵ US Environmental Protection Agency, National Risk Management Research Laboratory, Urban Watershed Management Branch, Edison, NJ, USA. Electronic address: rfield39@gmail.com.
⁶ US Environmental Protection Agency, National Risk Management Research Laboratory, Urban Watershed Management Branch, Edison, NJ, USA. Electronic address: tafuri.anthony@epa.gov.

PMID: 25463572
DOI: 10.1016/j.jenvman.2014.10.003

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.

Keywords: Decision support system for urban runoff control; Low impact development best management practices (LID-BMPs); Optimization; Planning methodology; SUSTAIN.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

China
Cities*
Conservation of Natural Resources / methods*
Cost-Benefit Analysis
Decision Support Techniques*
Drainage, Sanitary / methods*
Planning Techniques
Rain
Water Movements*
Water Quality*