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dc.contributor.advisorAdegoke, Jimmy O.eng
dc.contributor.authorGreen, Christophereng
dc.coverage.spatialMissouri -- Kansas Cityeng
dc.coverage.spatialMissouri -- Kansas Cityeng
dc.date.issued2011-12-20eng
dc.date.submitted2011 Falleng
dc.descriptionTitle from PDF of title page, viewed on December 20, 2011eng
dc.descriptionThesis advisor: Jimmy Adegokeeng
dc.descriptionVitaeng
dc.descriptionIncludes bibliographic references (p. 98-101)eng
dc.descriptionThesis (M.S.)--Dept. of Geosciences. University of Missouri-Kansas City, 2011eng
dc.description.abstractA new model is needed for storm water "green solutions" such as rain gardens, bioswales, and rain barrels. Estimating average annual runoff at the property level is essential to providing precise estimates on the effectiveness of stormwater “green solutions� like rain barrels and rain gardens. This information can also be used to implement a more accurate stormwater fee so municipalities can generate revenue to fund water infrastructure improvements, water conservation efforts, or storm water mitigation projects, while also providing a performance based rebate for those property owners who do install a storm water green solution. Rather than use modeling tools that utilize single design storms and runoff coefficients, site-specific GIS data can be input for a continuous runoff model whose focus is not conveyance but interception and infiltration. A distributed, deterministic Economic Water Model (EWM) method and modeling software was developed to estimate runoff using site-specific climate, soil, slope, and surface conditions extracted from GIS, weather station, and USDA soil data. Findings indicate that widespread implementation of rain barrels and rain gardens can have significant effects on urban runoff, especially in dense residential areas with small lot sizes. While this model also demonstrates that energy consumption is reduced at the municipal level through reduced combined sewer water treatment, the most significant water-related energy savings is from simple water-saving devices like low-flow faucet aerators. The results of this modeling can be used to implement and maintain more sustainable water infrastructure systems, economically and environmentally.eng
dc.description.tableofcontentsIntroduction -- Literature review -- Methodology -- Case studies and validation -- Large scale modeling implications -- Summary and conclusions -- Appendixeng
dc.format.extentix, 102 pageseng
dc.identifier.urihttp://hdl.handle.net/10355/12354eng
dc.publisherUniversity of Missouri-Kansas Cityeng
dc.subject.lcshRunoff -- Missouri-- Kansas City -- Evaluationeng
dc.subject.lcshRunoff -- Researcheng
dc.subject.lcshRunoff -- Computer programseng
dc.subject.lcshRunoff -- Mathematical modelseng
dc.subject.otherThesis -- University of Missouri--Kansas City -- Geoscienceseng
dc.titleThe Economic Water Model - a method and software program for assessing the impacts of storm water "green solutions" in urban areaseng
dc.typeThesiseng
thesis.degree.disciplineGeosciences (UMKC)eng
thesis.degree.grantorUniversity of Missouri-Kansas Cityeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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