Abstract
Urban storm water quality can be protected by maximizing the infiltration of frequent micro storms that account for the majority of the precipitation in urban areas. A proposed criterion is that the pre-development initial abstraction of precipitation should not be decreased by development. The NRCS Curve Number Method is used to estimate the initial abstraction. Traditional approaches only partition land use into major categories such as medium density residential. Using GIS, land use can be measured down to the individual functional units such as roofs and driveways. Also, the critically important right of way area can be identified as a separate land use. Right of way constitutes a significant portion of urban land use and is responsible for a large proportion of the directly connected impervious area and pollutant loads. A linear programming (LP) model is used to find the mix of functional land use types that minimizes the cost of retaining the initial abstraction at its pre-development level. This LP model uses land use information from the GIS as input data. The methodology is demonstrated on a case study to illustrate the procedure.
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