Level of Presentation: Beginner
This poster will display a spatial analysis of permanent structural stormwater Best Management Practices (BMPs) throughout the City of San Diego in relation to variables which affect both BMP performance and their accurate representation in stormwater models.
In urban areas, surface water quality is often impaired due to pollutants transported by stormwater
runoff. Total Maximum Daily Loads (TMDLs) and National Pollutant Discharge Elimination System (NPDES) permits and part of a national framework devised to maintain and improve surface water quality in the United States Clean Water Act (CWA). Structural Best Management Practices (BMPs) are designed to reduce runoff volume and/or pollutant concentrations to comply with NPDES Municipal Separate Storm Sewer (MS4) permits requirements and meet local water quality goals. Local level policy makers and managers require an improved understanding of the costs and benefits associated with BMP installation, performance, and maintenance. The ability to model and predict both short- and long-term BMP performance using stormwater models such as the United States Environmental Protection Agency (USEPA) Storm Water Management Model (SWMM) prior to implementation creates potential for more informed decisions regarding local watershed management and BMP implementation. However, field data to confirm model estimates of BMP performance is sparse, and spatial variability of model parameters can reduce model efficiency when resolution is too low, or not site-specific.
This research conducts data inventory and spatial analysis of existing permanent BMPs throughout the City of San Diego, California, USA in relation to spatial variables such as land use, soil type, and precipitation which may affect BMP performance and model efficiency. Information collected from the city includes BMP types, locations, dates of installation, and manufacturer and model. Information for model parameters will be taken from the United State Geologic Survey (USGS), the National Resource Conservation Service (NRCS), National Oceanic and Atmospheric Administration (NOAA), in addition to local data sources. Aggregating and mapping information will facilitate identification of spatial trends in BMP implementation and gaps in current records, as well as provide a relative comparison of BMP impact on impaired water bodies. This analysis will also result in characterization of representative subcatchment conditions under which BMPs are commonly implemented in the within the City, which will support future stormwater and BMP modeling efforts. Ultimately, results from this work will provide information to local governments and agencies for prioritizing, maintaining and monitoring BMPs, and improvement of hydrologic and water quality modeling in urban systems subject to compliance.
Target Audience: Academic,Developer/Builder,Storm Water,Stream/Wetland
San Diego State University
My name is Kelly Flint. I am in the graduate program for civil engineering at San Diego State University, with a specialization in water resources engineering. I am interested areas of study regarding anthropogenic influence on the environment, particularly the issue of urbanization in relation to water quality and hydromodification.
Tuesday, February 13
1:30 PM – 3:30 PM
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