Pluvial Flood Risk Estimation Procedure for Small Urban Watersheds

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dc.contributor.advisorMcCuen, Richard Hen_US
dc.contributor.authorCone, John Trevoren_US
dc.contributor.departmentCivil Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2012-07-10T05:42:17Z
dc.date.available2012-07-10T05:42:17Z
dc.date.issued2012en_US
dc.description.abstractPluvial flooding, when runoff causes flooding before it reaches a body of water, is a type of flooding that often is overlooked in flood risk studies. This study outlines a general procedure that can be used to model urban pluvial flood scenarios, estimate damages, and quantify pluvial flood risk for microwatersheds (watersheds of a few square miles or less). The model development was accomplished using EPA's SWMM in combination with GIS datasets and analyses. Sensitivity analyses were performed on many model inputs including runoff surface slope, imperviousness, infiltration parameters, and pipe roughness. The overall procedure was tested on a 215-acre sewershed in Washington, DC. The results indicate that pluvial flooding can have serious consequences, even in areas that are not close to existing bodies of water and are at relatively high elevations. The 10-, 100-, and 200-yr rainfall events modeled produced damage estimates of approximately $430,000, $904,000, and $1,093,000, respectively.en_US
dc.identifier.urihttp://hdl.handle.net/1903/12827
dc.subject.pqcontrolledCivil engineeringen_US
dc.subject.pqcontrolledWater resources managementen_US
dc.subject.pqcontrolledHydrologic sciencesen_US
dc.subject.pquncontrolledflood damage estimationen_US
dc.subject.pquncontrolledGISen_US
dc.subject.pquncontrolledpluvial flood modelingen_US
dc.subject.pquncontrolledpluvial flood risken_US
dc.subject.pquncontrolledSWMMen_US
dc.subject.pquncontrolledurban microwatershedsen_US
dc.titlePluvial Flood Risk Estimation Procedure for Small Urban Watershedsen_US
dc.typeThesisen_US

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