Technical Papers
Sep 26, 2011

Regional Estimation of Storm Water Management Parameters in Florida

Publication: Journal of Water Resources Planning and Management
Volume 138, Issue 5

Abstract

Storm water management parameters that are significantly influenced by local climatic conditions are the runoff coefficient (C) and the water-quality volume (WQV). Two classes of methods were investigated for estimating regional variations in C and WQV in Florida: interpolation methods and cluster-analysis methods. The results show that the inverse-distance-squared (IDW-2) interpolation method based on 45 reference stations distributed throughout the state provides the most accurate estimates of C and WQV, with a relative mean absolute error (RMAE) of 9% in estimating C and an RMAE of 13%–18% in estimating WQV. Although cluster means provide less accurate estimates of C and WQV, cluster analyses show that Florida can be divided into three regions with similar values of C and five regions with similar values of WQV. Cross validation shows that using cluster means instead of the IDW-2 method increases the RMAE by approximately 20% when estimating either C or WQV. A site-specific example illustrates the roles of C and WQV in the design of storm water management systems in Florida.

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Acknowledgments

David Baker of Environmental Research and Design, Inc. provided clarification on a previous study documented in Harper and Baker (2007).

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Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 138Issue 5September 2012
Pages: 502 - 511

History

Received: Apr 1, 2011
Accepted: Sep 22, 2011
Published online: Sep 26, 2011
Published in print: Sep 1, 2012

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Authors

Affiliations

David A. Chin, Ph.D. [email protected]
P.E
F.ASCE
Professor, Dept. of Civil, Architectural, and Environmental Engineering, Coral Gables, FL 33146. E-mail: [email protected]

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