TECHNICAL PAPERS
Feb 12, 2010

Frequency Methodology for Evaluating Urban and Highway Storm-Water Quality Control Infiltration BMPs

Publication: Journal of Water Resources Planning and Management
Volume 136, Issue 2

Abstract

Time domain continuous simulation models using simple or detailed process models are routinely used to analyze storm-water control options. The interest in decentralized controls has generated the need to develop tools that can evaluate performance when response times are very short and may even be shorter than the available precipitation data. The effect of storage is much less in infiltration based systems so simpler frequency domain approaches can be useful. A simple, but reasonably reliable, model has been developed on the basis of system response time and frequency analysis using long-term precipitation data. In the model, the performance of a storm-water management facility is related to the loading rate of storm water onto the facility. Performance is estimated using long-term precipitation data, catchment information, and storm-water management facility specification. The developed frequency model provides a simple and relatively accurate way to estimate the overall performance of infiltration best management practices (BMPs) over a range of storm events. It can be calibrated using local field data and a more detailed time domain process simulator and then used to provide a macrolevel evaluation model that can be used to find the overall optimal control strategy.

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Acknowledgments

The writers gratefully acknowledge the financial support of this study provided by the National Cooperative Highway Research Program (NCHRP).

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Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 136Issue 2March 2010
Pages: 237 - 247

History

Received: Jun 7, 2006
Accepted: Sep 24, 2009
Published online: Feb 12, 2010
Published in print: Mar 2010

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Authors

Affiliations

Joong Gwang Lee [email protected]
Project Consultant, Dept. of Environmental Engineering Sciences, Univ. of Florida, 1350 County Rd. 83, Boulder, CO 80302 (corresponding author). E-mail: [email protected]
James P. Heaney [email protected]
Professor, Dept. of Environmental Engineering Sciences, Univ. of Florida, Gainesville, FL 32611-6450. E-mail: [email protected]
Chelisa A. Pack [email protected]
Engineer, Project Design Consultants, 701 B St., Suite 800, San Diego, CA 92101. E-mail: [email protected]

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