Simulation of Combined Best Management Practices and Low Impact Development for Sustainable Stormwater Management1 |
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Authors: | Chandana Damodaram Marcio H. Giacomoni C. Prakash Khedun Hillary Holmes Andrea Ryan William Saour Emily M. Zechman |
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Affiliation: | 1. Respectively, Research Assistant (Damodaram, Giacomoni) and Assistant Professor (Zechman), Department of Civil Engineering, Texas A&M University, 3136 TAMU, College Station, Texas 77843;2. Graduate Student (Khedun), Water Management & Hydrologic Science, Texas A&M University, College Station, Texas 77843;3. Teacher (Holmes), Teachers for America, Chicago, Illinois 60606;4. Graduate Student (Ryan), Department of Civil Engineering, University of Texas, Austin, Texas 78712;5. Project Engineer (Saour), Benchmark Engineering Corporation, Houston, Texas 77057. |
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Abstract: | Damodaram, Chandana, Marcio H. Giacomoni, C. Prakash Khedun, Hillary Holmes, Andrea Ryan, William Saour, and Emily M. Zechman, 2010. Simulation of Combined Best Management Practices and Low Impact Development for Sustainable Stormwater Management. Journal of the American Water Resources Association (JAWRA) 1-12. DOI: 10.1111/j.1752-1688.2010.00462.x Abstract: Urbanization causes increased stormwater runoff volumes, leading to erosion, flooding, and the degradation of instream ecosystem health. Although Best Management Practices (BMPs) are used widely as a means for controlling flood runoff events, Low Impact Development (LID) options have been proposed as an alternative approach to better mimic the natural flow regime by using decentralized designs to control stormwater runoff at the source, rather than at a centralized location in the watershed. For highly urbanized areas, LID practices such as rainwater harvesting, green roofs, and permeable pavements can be used to retrofit existing infrastructure and reduce runoff volumes and peak flows. This paper describes a modeling approach to incorporate these LID practices in an existing hydrologic model to estimate the effects of LID choices on streamflow. The modeling approach has been applied to a watershed located on the campus of Texas A&M University in College Station, Texas, to predict the stormwater reductions resulting from retrofitting existing infrastructure with LID technologies. Results demonstrate that use of these LID practices yield significant stormwater control for small events and less control for flood events. A combined BMP-LID approach is tested for runoff control for both flood and frequent rainfall events. |
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Keywords: | runoff streamflow simulation Best Management Practices stormwater management sustainability watershed management Low Impact Development |
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