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Executive Summary <br />Executive Summary <br />The City of Ramsey and Lower Rum River Watershed Management Organization (LRRWMO) contracted <br />the Anoka Conservation District (ACD) to complete this stormwater retrofit analysis (SRA) for the <br />purpose of identifying and ranking water quality improvement projects in selected subwatersheds that <br />drain to either the Mississippi or Rum River. The subwatersheds are located along the southern City <br />boundary (Mississippi River) and the eastern City boundary (Rum River) and consist of commercial, <br />industrial, and residential land uses. Volume, total phosphorus (TP), and total suspended solids (TSS) <br />were the target parameters analyzed. <br />This analysis is primarily intended to identify potential projects within the target area to improve water <br />quality in the Mississippi and Rum Rivers through stormwater retrofits. Stormwater retrofits refer to <br />best management practices (BMPs) that are added to an already developed landscape where little open <br />space exists. The process is investigative and creative. Stormwater retrofits can be improperly judged <br />by the total number of projects installed or by comparing costs alone. Those approaches neglect to <br />consider how much pollution is removed per dollar spent. In this SRA, both costs and pollutant <br />reductions were estimated and used to calculate cost-effectiveness for each potential retrofit identified. <br />Water quality benefits associated with the installation of each identified project were individually <br />modeled using the Source Loading and Management Model for Windows (WinSLAMM). WinSLAMM <br />uses an abundance of stormwater data from the upper-midwest and elsewhere to quantify runoff <br />volumes and pollutant loads from urban areas. It has detailed accounting of pollutant loading from <br />various land uses, and allows the user to build a model "landscape". WinSLAMM uses rainfall and <br />temperature data from a typical year (1959 data from Minneapolis for this analysis), routing stormwater <br />through the user's model for each storm. <br />WinSLAMM estimates volume and pollutant loading based on acreage, land use, and soils information. <br />Therefore, the volume and pollutant estimates in this report are not waste load allocations, nor does <br />this report serve as a TMDL for the study area. The WinSLAMM model was not calibrated and was only <br />used as an estimation tool to provide relative ranking across potential retrofit projects. Specific model <br />inputs (e.g. pollutant probability distribution, runoff coefficient, particulate solids concentration, particle <br />residue delivery, and street delivery files) are detailed in Appendix A. <br />The costs associated with project design, administration, promotion, land acquisition, opportunity costs, <br />construction oversight, installation, and maintenance were estimated. The total costs over the assumed <br />effective life of each project were then divided by the modeled benefits over the same time period to <br />enable ranking by cost-effectiveness. <br />A variety of stormwater retrofit approaches were identified. They included: <br />• Bioretention, <br />• Bioswales, <br />• Current BMP modification, <br />• Iron -enhanced sand filter check dams, <br />• Iron -enhanced sand filter pond benches, and <br />City of Ramsey Stormwater Retrofit Analysis <br />