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dc.contributor.advisorRaghavan, Srinivasan
dc.creatorPalanisamy, Bakkiyalakshmi
dc.date.accessioned2007-09-17T19:38:06Z
dc.date.available2007-09-17T19:38:06Z
dc.date.created2003-05
dc.date.issued2007-09-17
dc.identifier.urihttp://hdl.handle.net/1969.1/5921
dc.description.abstractSpatial variability of rainfall is a significant factor in hydrologic and water quality modeling. In recent years, characterizing and analyzing the effect of spatial variability of rainfall in hydrologic applications has become vital with the advent of remotely sensed precipitation estimates that have high spatial resolution. In this study, the effect of spatial variability of rainfall in hourly runoff generation was analyzed using the Soil and Water Assessment Tool (SWAT) for Big Sandy Creek and Walnut Creek Watersheds in North Central Texas. The area of the study catchments was 808 km2 and 196 km2 for Big Sandy Creek and Walnut Creek Watersheds respectively. Hourly rainfall measurements obtained from raingauges and weather radars were used to estimate runoff for the years 1999 to 2003. Results from the study indicated that generated runoff from SWAT showed enormous volume bias when compared against observed runoff. The magnitude of bias increased as the area of the watershed increased and the spatial variability of rainfall diminished. Regardless of high spatial variability, rainfall estimates from weather radars resulted in increased volume of simulated runoff. Therefore, weather radar estimates were corrected for various systematic, range-dependent biases using three different interpolation methods: Inverse Distance Weighting (IDW), Spline, and Thiessen polygon. Runoff simulated using these bias adjusted radar rainfall estimates showed less volume bias compared to simulations using uncorrected radar rainfall. In addition to spatial variability of rainfall, SWAT model structures, such as overland flow, groundwater flow routing, and hourly evapotranspiration distribution, played vital roles in the accuracy of simulated runoff.en
dc.format.extent684690 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M Universityen
dc.subjectrainfall spatial variabilityen
dc.subjecthydrologic modelen
dc.subjectbias correctionen
dc.subjectweather radar rainfallen
dc.titleEvaluation of SWAT model - subdaily runoff prediction in Texas watershedsen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentBiological and Agricultural Engineeringen
thesis.degree.disciplineAgricultural Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberHaan, Patricia
dc.contributor.committeeMemberWilcox, Bradford
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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