Stormwater Control Measures: Optimization Methods for Sizing and Selection

AbstractStormwater management in urban areas remains a challenging water-resources and environmental problem worldwide. This work develops and tests two methods for optimizing stormwater control measures. The first method relies on a linear programming formulation to find the optimal sizes of stormwater control measures to be deployed at selected locations. The second method uses binary linear integer programming to determine the optimal type of stormwater control measures of standardized dimensions to be deployed at selected locations. Both methods minimize the total cost of deploying stormwater control measures, subject to constraints on available budget, volumetric water balance, allowable stormwater volumes, and water-quality characteristics. Two examples illustrate the step-by-step formulation of the linear programming and the binary linear integer programming methods for the optimization of stormwater control measures, and provide solutions to the problems of their optimal sizing and selection. Our ...

[1]  Eric Strecker,et al.  DETERMINING URBAN STORM WATER BMP EFFECTIVENESS , 2001 .

[2]  D. Sample,et al.  Review and Research Needs of Bioretention Used for the Treatment of Urban Stormwater , 2014 .

[3]  James P. Heaney,et al.  Optimization of Integrated Urban Wet-Weather Control Strategies , 2005 .

[4]  Bahram Saghafian,et al.  Hydrology and Earth System Sciences Multi-objective Optimization for Combined Quality–quantity Urban Runoff Control , 2022 .

[5]  Jian Shen,et al.  A new approach for a Windows-based watershed modeling system based on a database-supporting architecture , 2005, Environ. Model. Softw..

[6]  J. Amorocho Nonlinear Hydrologic Analysis , 1973 .

[7]  David J. Sample,et al.  Geographic Information Systems, Decision Support Systems, and Urban Storm-Water Management , 2001 .

[8]  William F. Hunt,et al.  Increasing Stream Geomorphic Stability Using Storm Water Control Measures in a Densely Urbanized Watershed , 2012 .

[9]  Jay R. Lund,et al.  Benefit–Cost Analysis of StormwaterQuality Improvements , 2000, Environmental management.

[10]  Hugo A. Loáiciga,et al.  Correlated gamma variables in the analysis of microbial densities in water , 2005 .

[11]  Barry J. Adams,et al.  Runoff quality analysis of urban catchments with analytical probabilistic models , 2006 .

[12]  John Riverson,et al.  A watershed-scale design optimization model for stormwater best management practices , 2012, Environ. Model. Softw..

[13]  V. Novotny,et al.  Water Quality: Prevention, Identification and Management of Diffuse Pollution , 1996 .

[14]  P. Groffman,et al.  The urban stream syndrome: current knowledge and the search for a cure , 2005, Journal of the North American Benthological Society.

[15]  A. Davis Green engineering principles promote low-impact development. , 2005, Environmental science & technology.

[16]  E W Strecker,et al.  GIS to estimate storm-water pollutant mass loadings , 1997 .

[17]  Ben Urbonas,et al.  Recommended Parameters to Report with BMP Monitoring Data , 1995 .

[18]  Torben Larsen,et al.  First flush effects in an urban catchment area in aalborg , 1998 .

[19]  Emily M. Zechman,et al.  Simulation-Optimization Approach to Design Low Impact Development for Managing Peak Flow Alterations in Urbanizing Watersheds , 2013 .

[20]  Dorothy Auchterlonie Green,et al.  Managing Water: Avoiding Crisis in California , 2007 .

[21]  Stephen B. Weisberg,et al.  EVALUATING HSPF IN AN ARID, URBANIZED WATERSHED 1 , 2005 .

[22]  Shaw L. Yu,et al.  Optimal Location and Sizing of Stormwater Basins at Watershed Scale , 2004 .