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dc.contributor.authorYamaguchi, Yuko.
dc.creatorYamaguchi, Yuko.en_US
dc.date.accessioned2011-11-28T14:18:21Z
dc.date.available2011-11-28T14:18:21Z
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/10150/192124
dc.description.abstract"Better Assessment Science Integrating Point and Nonpoint Sources (BASINS)" (U.S. EPA, 2001) is a multi-purpose environmental analysis system that can facilitate development of Total Maximum Daily Loads (TMDLs) and water quality criteria. Soil and Water Assessment Tool (SWAT) underlain BASINS, is a continuous hydrologic model designed for a simulation for a large, environmentally complex watershed. In this study, BASINS-SWAT was applied to small and medium sized ponderosa pine watersheds in north-central Arizona where typical semi-arid climatic characteristics are observed including high variability in annual precipitation. Purposes of this study were to provide information on parameter selection, estimation, sensitivity, and optimization useful for model calibration process for this type of watershed. Despite the disadvantageous characteristics of the study watersheds, BASINS-SWAT simulated streamflow fairly well on an annual basis. CN2 was the largest contributing parameter to the model calibration, followed by ESCO and SMFMN. The small watershed showing the lower model efficiency was more sensitive to the climatic and vegetative impacts than the medium sized watershed. Due to the homogeneous characteristics of the study watersheds, discrtetization of the watershed varied only topographic parameters of each sub-watershed, which resulted in very little influence on the output of the model.
dc.language.isoenen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshWatershed management -- Arizona.en_US
dc.subject.lcshPonderosa pine -- Arizona.en_US
dc.titleSimulating Hydrologic Response From Arizona Ponderosa Pine Watersheds Using the Basins-Swat Modeling System.en_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.contributor.chairLopes, Vicente L.en_US
dc.identifier.oclc213884096en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
dc.contributor.committeememberOrr, Barron J.en_US
dc.contributor.committeememberHernandez, Marianoen_US
thesis.degree.disciplineNatural Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.nameM.S.en_US
dc.description.notehydrology collectionen_US
refterms.dateFOA2018-08-24T14:46:51Z
html.description.abstract"Better Assessment Science Integrating Point and Nonpoint Sources (BASINS)" (U.S. EPA, 2001) is a multi-purpose environmental analysis system that can facilitate development of Total Maximum Daily Loads (TMDLs) and water quality criteria. Soil and Water Assessment Tool (SWAT) underlain BASINS, is a continuous hydrologic model designed for a simulation for a large, environmentally complex watershed. In this study, BASINS-SWAT was applied to small and medium sized ponderosa pine watersheds in north-central Arizona where typical semi-arid climatic characteristics are observed including high variability in annual precipitation. Purposes of this study were to provide information on parameter selection, estimation, sensitivity, and optimization useful for model calibration process for this type of watershed. Despite the disadvantageous characteristics of the study watersheds, BASINS-SWAT simulated streamflow fairly well on an annual basis. CN2 was the largest contributing parameter to the model calibration, followed by ESCO and SMFMN. The small watershed showing the lower model efficiency was more sensitive to the climatic and vegetative impacts than the medium sized watershed. Due to the homogeneous characteristics of the study watersheds, discrtetization of the watershed varied only topographic parameters of each sub-watershed, which resulted in very little influence on the output of the model.


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