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Regional Estimation of Storm Water Management Parameters in Florida

Chin, David A.

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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Regional Estimation of Storm Water Management Parameters in Florida

Chin, David A.

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.

Regional Estimation of Storm Water Management Parameters in Florida

Chin, David A.

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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Title:

Regional Estimation of Storm Water Management Parameters in Florida

Contributors:

Chin, David A. (author)

Published in:

Journal of Water Resources Planning and Management ; 138 ; 502-511

Publication date:

2011-09-26

Size:

102012-01-01 pages

ISSN:

0733-9496 , 1943-5452

DOI:

https://doi.org/10.1061/(ASCE)WR.1943-5452.0000196

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

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