Optimal Location of Infiltration-Based Best Management Practices for Storm Water Management
Publication: Journal of Water Resources Planning and Management
Volume 131, Issue 6
Abstract
A distributed hydrologic model of an urban watershed in the northeast United States was developed and combined with a genetic algorithm to determine the optimal location of infiltration-based best management practices (BMPs) for storm water management. The distributed, event-based hydrologic model integrates the curve number method with a distributed hydrologic network model of the catchment using a system of 4,533 hydrologic response units (HRUs). The infiltration-based BMP was conceptualized as an element that alters the infiltration/runoff partitioning of the HRUs in which it was applied. The results indicate that the optimal location and number of BMPs is a complex function of watershed network connectivity, flow travel time, land use, distance to channel, and contributing area, requiring an optimization approach of the type introduced here. A Pareto frontier describing the trade-off between the number of BMPs, representing project cost, and watershed flooding was developed.
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Acknowledgments
The research described in this article has been funded in part by a United States Environmental Protection Agency STAR grant (R830654). This paper has not been subjected to the agency’s required peer and policy review; therefore, it does not necessarily reflect the views of the agency, and so no endorsement should be inferred. We thank the anonymous reviewers for their insightful comments and suggestions, and we would like to especially thank Ranji Ranjithan, Paul Kirshen, Steve Chapra, John Durant, and Steve Levine for their support and guidance during this project.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 131 • Issue 6 • November 2005
Pages: 441 - 448
Copyright
© 2005 ASCE.
History
Received: Jun 29, 2004
Accepted: May 3, 2005
Published online: Nov 1, 2005
Published in print: Nov 2005
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