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A statistical model for estimating mean annual and mean monthly flows at ungaged locations

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dc.contributor.advisor Olivera, Francisco en_US
dc.creator Sukheswalla, Zubin Rohinton en_US
dc.date.accessioned 2004-09-30T01:45:29Z
dc.date.available 2004-09-30T01:45:29Z
dc.date.created 2003-12 en_US
dc.date.issued 2004-09-30T01:45:29Z
dc.identifier.uri http://hdl.handle.net/1969.1/192
dc.description.abstract Prediction of flow is necessary for planning and management of water resources. The objective of this study is to estimate mean annual flows for the USA and mean monthly flows for the rivers of central Texas based on the precipitation and their watershed characteristics. Flow varies largely with topographic and climatic parameters and hence generalization of runoff models is difficult. This model aims at providing a prediction at ungaged locations with very few parameters that are easily available and measurable. Scatter in predicted data will be seen at the annual and monthly time scale in the range selected for each data. This model will work on annual and monthly means to reduce the scatter and produce better estimates. en_US
dc.format.extent 1654011 bytes
dc.format.extent 169452 bytes
dc.format.medium electronic en_US
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language.iso en_US en_US
dc.publisher Texas A&M University en_US
dc.subject Mean Annual en_US
dc.subject Mean Monthly en_US
dc.subject Flow en_US
dc.subject Ungaged en_US
dc.subject Statistical Model en_US
dc.title A statistical model for estimating mean annual and mean monthly flows at ungaged locations en_US
dc.type Book en
dc.type Thesis en
thesis.degree.department Civil Engineering en_US
thesis.degree.discipline Civil Engineering en_US
thesis.degree.grantor Texas A&M University en_US
thesis.degree.name Master of Science en_US
thesis.degree.level Masters en_US
dc.contributor.committeeMember Cahill, Anthony en_US
dc.contributor.committeeMember Srinivasan, Raghavan en_US
dc.type.genre Electronic Thesis en_US
dc.type.material text en_US
dc.format.digitalOrigin born digital en_US

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