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PLANNING OF URBAN BEST MANAGEMENT PRACTICES 1
Author(s) -
Kuo Chin Y.,
Cave Kelly A.,
Loganathan G. V.
Publication year - 1988
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1988.tb00887.x
Subject(s) - environmental science , watershed , surface runoff , stormwater , hydrograph , nonpoint source pollution , stormwater management , hydrology (agriculture) , storm water management model , storm , water quality , low impact development , pollutant , best practice , infiltration (hvac) , environmental engineering , computer science , engineering , meteorology , geotechnical engineering , ecology , physics , management , machine learning , economics , biology
A “user‐friendly” computer program has been developed for application in personal computers for preliminary design, evaluation, and cost effectiveness analysis of various best management practice (BMP) measures to control stormwater quantity and quality. The algorithms utilize the SCS TR‐55 method for calculating runoff hydrographs for a single storm event and a first order pollutant washoff equation to generate pollutographs. Sensitivity analyses based on different policy scenarios is performed on a hypothetical watershed for the purpose of illustration. Three types of BMP measures, namely detention ponds (dry, wet, and extended wet ponds), infiltration trenches, and porous pavements are considered. It is found that the extended wet ponds have the best cost effective performance of the measures evaluated.