Modeling Pollutant Buildup and Washoff Parameters for SWMM Based on Land Use in a Semiarid Urban Watershed

• Published in: Water, air, and soil pollution Vol. 229; no. 4; pp. 1 - 15
• Main Authors: Tu, Min-Cheng, Smith, Patricia
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.04.2018; Springer; Springer Nature B.V
• Subjects: Aerial photography; Analysis; Arid climates; Arid regions; Atmospheric Protection/Air Quality Control/Air Pollution; Calibration; Climate Change/Climate Change Impacts; Confidence intervals; Data processing; Earth and Environmental Science; Educational institutions; Environment; Environmental monitoring; Geographic information systems; Geographical information systems; Hydrogeology; Land use; Land use management; Mathematical models; Modelling; Parameters; Pollutants; Slope; Soil Science & Conservation; Storms; Stormwater; Stormwater management; Topography; Topography (geology); Urban areas; Urban watersheds; Water management; Water Quality/Water Pollution; Water resource management; Water resources; Water resources management; SCEUA; Washoff; SWMM; Buildup; Semiarid; Inverse modeling
• DOI: 10.1007/s11270-018-3777-2
• ISSN: 0049-6979

SWMM (Storm Water Management Model) has been widely used in urban water resources management. Despite its popularity, no commonly accepted pollutant buildup and washoff parameters are available for urban areas in semi-arid or arid climate, which covers 30% of global land area and is sustaining fast growth. This study provides a method to determine these parameters using inverse modeling and apply it in a semi-arid Texan urban watershed. Because GIS land use data is not available for early 1980s, it was determined from aerial photography from 1984 to 2006, and GIS land use data from 2006. Calibration using Shuffled Complex Evolution – University of Arizona (SCEUA) was used for hydraulic parameters followed by pollutant parameters. Confidence intervals of pollutant parameters were calculated by GLD (Generalized Lambda Distribution). Buildup parameters are clustered in narrow numerical ranges, indicating that spatially uniform factors are responsible for pollutant buildup. Washoff parameters do not cluster and are distributed more evenly, indicating strong influence of local factors such as topography. The results also imply that the commonly used parameter values need major revision.