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

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.

[1]  H. Andrieu,et al.  Understanding, management and modelling of urban hydrology and its consequences for receiving waters: A state of the art , 2013 .

[2]  Wang Hao-chang.  Parameters uncertainty analysis of urban rainfall-runoff simulation , 2009 .

[3]  A. Davis.  Green engineering principles promote low-impact development. , 2005, Environmental science & technology.

[4]  Masoud Kayhanian,et al.  Oil and Grease Measurement in Highway Runoff—Sampling Time and Event Mean Concentrations , 2006 .

[5]  J. N. Fernandes,et al.  Key issues for sustainable urban stormwater management. , 2012, Water research.

[6]  Haifeng Jia,et al.  Advances in LID BMPs research and practice for urban runoff control in China , 2013, Frontiers of Environmental Science & Engineering.

[7]  Ying Tang,et al.  Development of a multi-criteria index ranking system for urban runoff best management practices (BMPs) selection , 2013, Environmental Monitoring and Assessment.

[8]  A. H. Elliott,et al.  A review of models for low impact urban stormwater drainage , 2007, Environ. Model. Softw..

[9]  J. Morgan Grove,et al.  Socioecological revitalization of an urban watershed , 2013 .

[10]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[11]  Peter James Morison,et al.  Avoiding the presumptive policy errors of intergovernmental environmental planning programmes: a case analysis of urban stormwater management planning , 2010 .

[12]  Hans-Georg Frede,et al.  Comparison of two different approaches of sensitivity analysis , 2002 .

[13]  Michael E. Dietz.  Low Impact Development Practices: A Review of Current Research and Recommendations for Future Directions , 2007 .

[14]  Haifeng Jia,et al.  Urban watershed management under rapid urbanization , 2012, Frontiers of Environmental Science & Engineering.

[15]  Anthony N. Tafuri,et al.  BMP Technology in Urban Watersheds: Current and Future Directions , 2006 .

[16]  L. Shoemaker,et al.  BMP decision support system for evaluating stormwater management alternatives , 2009 .

[17]  Tim D. Fletcher,et al.  Hydrologic shortcomings of conventional urban stormwater management and opportunities for reform , 2012 .

[18]  Yurong Chen,et al.  Planning of LID–BMPs for urban runoff control: The case of Beijing Olympic Village , 2012 .

[19]  John Riverson,et al.  A watershed-scale design optimization model for stormwater best management practices , 2012, Environ. Model. Softw..

[20]  John T Harvey,et al.  Corrigendum: The use of reflective and permeable pavements as a potential practice for heat island mitigation and stormwater management , 2013 .