A Decision Making Approach for Stormwater Management Measures—A Case Example in the City of Waukesha, Wisconsin

by James A. Bachhuber,



Document Type: Proceeding Paper

Part of: North American Water and Environment Congress & Destructive Water

Abstract: An urban nonpoint source pollution predictive model (Source Load and Management Model—SLAMM; Wisconsin Department of Natural Resources, 1990), and a decision matrix developed specifically for the City of Waukesha, Wisconsin, was used to rank Best Management Practices (BMPs) most feasible to meet the goals and needs of the community. SLAMM was used to predict annual nonpoint pollution loads within a project area under existing and future land use. SLAMM was then used to apply low cost non-structural BMPs (street sweeping, catch basin sump clean out, grass swale drainage on developing lands, and directing runoff from roofs/ parking lots to vegetated areas. These combined measures did not achieve the pollution reduction goal set for the project area by the Wisconsin Department of Natural Resources (WDNR) and the City from a previous water resource planning effort.

Subject Headings: Stormwater management | Urban areas | Decision making | Case studies | Nonpoint pollution | Best Management Practice | Land use | Soil pollution | Load factors | Vegetation | Natural resources | Wisconsin | North America | United States

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