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This paper describes the development of an optimal water quality tool for managing wet weather discharges that uses a macrolevel simulation model (i.e., the Streeter-Phelps equation) linked with a highly efficient optimization algorithm (i.e., a modified version of the Box complex method). The proposed approach can be applied to an urban watershed impaired by multiple sources of wet weather discharges. As an application, the proposed approach is used to develop optimal water quality management strategies for the Beargrass Creek watershed in Louisville, Ky. [ABSTRACT FROM AUTHOR]

The development of model parametrization methodologies using geographic information systems is becoming increasingly important in hydrologic modeling applications, especially given the continued trend of comprehensive and readily available geospatial databases. This paper discusses the development of parametrization and calibration methodologies for the 12-parameter soil moisture accounting (SMA) algorithm recently added to the Hydrologic Modeling System (HMS) program by the Hydrologic Engineering Center (HEC). The U.S. Army Corps of Engineers, Nashville District, is considering HMS as a tool for continuous hydrologic simulation in the Cumberland River basin. The study demonstrates that parameters for a complex soil moisture accounting model can be derived from publicly available geographic information system (GIS) databases and that the use of seasonal or multiparameter sets improves model performance. Only one of the seven parameters estimated using GIS databases was varied during model calibration. Parameter values after model calibration, including four parameters estimated using historic streamflow records, deviated from estimated values by an average of 37%. Model performance indicates that the developed parametrization and calibration methodologies work well when applied to the test watershed and should be applicable to other watersheds in the Cumberland River basin. [ABSTRACT FROM AUTHOR]