Development and Application of a Stream Flashiness Index based on Imperviousness and Climate using GIS

dc.contributor.advisorMoglen, Glenn Een_US
dc.contributor.authorRavirajan, Karthiken_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.accessioned2007-09-28T14:58:55Z
dc.date.available2007-09-28T14:58:55Z
dc.date.issued2007-07-26en_US
dc.description.abstractThis work examines the relationship between imperviousness, climate, and the Richards-Baker (R-B) index, a measure of ow variability. Regression equations to predict the R-B index are developed for annual, cool, and warm seasons. The re- gression equations developed, are calibrated using stream ow data from 1970-2000 for 29 USGS streamgages throughout Maryland. Regression equations for the R-B ashiness index are developed as a function of imperviousness, precipitation char- acteristics, and drainage area. The relationship is used to estimate stream quality conditions throughout Maryland for present and future land use and climate. The regression equations are used to calculate the future stream ow variability by pro- jecting the R-B index predictors to re ect the following conditions: (1) Increasing imperviousness only, (2) Climate change only, and (3) Jointly changing impervious- ness and climate. Finally, the relationship between R-B index and stream quality is studied.en_US
dc.format.extent3427253 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/7247
dc.language.isoen_US
dc.subject.pqcontrolledEngineering, Environmentalen_US
dc.subject.pqcontrolledEngineering, Civilen_US
dc.subject.pquncontrolledFlashinessen_US
dc.subject.pquncontrolledGISen_US
dc.subject.pquncontrolledImperviousnessen_US
dc.subject.pquncontrolledR-B indexen_US
dc.subject.pquncontrolledstream conditionsen_US
dc.titleDevelopment and Application of a Stream Flashiness Index based on Imperviousness and Climate using GISen_US
dc.typeThesisen_US

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