Chapter
Apr 26, 2012

Potential Data Analysis Methodology to Evaluate the Performance of Manufactured BMPs

Publication: World Environmental and Water Resources Congress 2009: Great Rivers

Abstract

Evaluating the performance of manufactured BMPs on a consistent and scientifically sound approach is beneficial for both the service provider and the services recipient. To do this properly, it is important that these devices need to be tested under a standard set of protocols. The testing data must be collected, reported, and validated prior data analysis. The testing, data collection, data reporting and validation will be addressed under a separate ASCE/EWRI subcommittee. The focus of this paper is to address the data analysis and performance evaluation of manufactured BMPs. To address this issue the existing statistical data analysis methods and performance evaluation that potentially could be used for manufactured BMPs have been examined in this paper. Special attention was devoted to the data distribution and the issue of normality since that will influence the selection of suitable data analysis approach. In general, it has been concluded that the stormwater data is log-normally distributed. The existing BMP performance evaluation has also been evaluated and the effluent probability plot has been recommended to determine the performance evolution of manufactured BMPs.

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Go to World Environmental and Water Resources Congress 2009
World Environmental and Water Resources Congress 2009: Great Rivers
Pages: 1 - 10

History

Published online: Apr 26, 2012

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Masoud Kayhanian [email protected]
Department of Civil and Environmental Engineering, University of California, One Shields Avenue, Engineering III, Davis, CA 95616. E-mail: [email protected]
Robert M. Roseen [email protected]
The University of New Hampshire Stormwater Center, Department of Civil Engineering, 35 Colovos Road, Durham, NH 03824. E-mail: [email protected]
James H. Lenhart [email protected]
CONTECH Stormwater Solutions Inc., 11835 NE Glenn Widing Dr., Portland, OR 97220. E-mail: [email protected]
Greg Williams [email protected]
Monteco Research & Development Centre, 2596 Dunwin Dr., Mississauga, ON L5L 1J5. E-mail: [email protected]

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