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- Genre: Masters Thesis
Description
The current practice of municipal stormwater management in the United States has failed to effectively reduce the amount of pollutants discharged into surface waters. Water impairment as a result of polluted stormwater runoff from urbanized areas remains a significant concern despite federally mandated efforts to reduce the impact of these discharges. To begin addressing these shortfalls the Environmental Protection Agency contracted the National Research Council to investigate the extent of the stormwater program and to identify areas that require improvement in order to more effectively implement the program. Their findings indicated widespread, foundational flaws with the stormwater regulatory structure and proposed new permitting guidelines. The purpose of this study was to explore the specific shortcomings of stormwater management in the Maricopa County region and to suggest the establishment of a regional authority. Doing so would require an alternative permitting regime to replace the current approach of population based municipal permitting with a permit that considered the entire urbanized region. The organizational structure, legality concerns and intergovernmental partnerships needed to properly establish such a regional authority were part of this study. The effect of this approach suggested a more effective, efficient and economical model of municipal stormwater management that better addressed certain Integrated Urban Stormwater Management strategies and began to address the program weaknesses identified by the National Research Council.
ContributorsNymeyer, Matt (Author) / Olson, Larry W. (Thesis advisor) / Edwards, David A. (Committee member) / Hild, Nicholas R (Committee member) / Arizona State University (Publisher)
Created2011
Description
Bioretention basins are a common stormwater best management practice (BMP) used to mitigate the hydrologic consequences of urbanization. Dry wells, also known as vadose-zone wells, have been used extensively in bioretention basins in Maricopa County, Arizona to decrease total drain time and recharge groundwater. A mixed integer nonlinear programming (MINLP) model has been developed for the minimum cost design of bioretention basins with dry wells.
The model developed simultaneously determines the peak stormwater inflow from watershed parameters and optimizes the size of the basin and the number and depth of dry wells based on infiltration, evapotranspiration (ET), and dry well characteristics and cost inputs. The modified rational method is used for the design storm hydrograph, and the Green-Ampt method is used for infiltration. ET rates are calculated using the Penman Monteith method or the Hargreaves-Samani method. The dry well flow rate is determined using an equation developed for reverse auger-hole flow.
The first phase of development of the model is to expand a nonlinear programming (NLP) for the optimal design of infiltration basins for use with bioretention basins. Next a single dry well is added to the NLP bioretention basin optimization model. Finally the number of dry wells in the basin is modeled as an integer variable creating a MINLP problem. The NLP models and MINLP model are solved using the General Algebraic Modeling System (GAMS). Two example applications demonstrate the efficiency and practicality of the model.
The model developed simultaneously determines the peak stormwater inflow from watershed parameters and optimizes the size of the basin and the number and depth of dry wells based on infiltration, evapotranspiration (ET), and dry well characteristics and cost inputs. The modified rational method is used for the design storm hydrograph, and the Green-Ampt method is used for infiltration. ET rates are calculated using the Penman Monteith method or the Hargreaves-Samani method. The dry well flow rate is determined using an equation developed for reverse auger-hole flow.
The first phase of development of the model is to expand a nonlinear programming (NLP) for the optimal design of infiltration basins for use with bioretention basins. Next a single dry well is added to the NLP bioretention basin optimization model. Finally the number of dry wells in the basin is modeled as an integer variable creating a MINLP problem. The NLP models and MINLP model are solved using the General Algebraic Modeling System (GAMS). Two example applications demonstrate the efficiency and practicality of the model.
ContributorsLacy, Mason (Author) / Mays, Larry W. (Thesis advisor) / Fox, Peter (Committee member) / Wang, Zhihua (Committee member) / Arizona State University (Publisher)
Created2016