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dc.contributor.authorKessler, Steven Jack.
dc.creatorKessler, Steven Jack.en_US
dc.date.accessioned2011-11-28T14:02:09Z
dc.date.available2011-11-28T14:02:09Z
dc.date.issued1978en_US
dc.identifier.urihttp://hdl.handle.net/10150/191672
dc.description.abstractTwenty-three small to large man-made lakes in Arizona (13 to 909 hectares) were surveyed for 44 variables of lake morphometry, watershed topography and climate, conservative and non-conservative water quality, and lake sediments. Water and sediment collections were made in two 14-day sampling tours during the summer of 1976. R mode factor analysis technique reduced the original data set to 15 independent variables to be used in Q mode factor analysis and dendrograph lake classification. On the basis of the two clustering methods, six classes of lakes are indicated: 1) White Mountain, 2) Southern Arizona, 3) Salt River- Phoenix water supply, 4) Escudilla Mountain, 5) miscellaneous large irrigation, and 6) miscellaneous high altitude. Nine lakes are independent of all others. Predictions of water and sediment quality in Arizona lakes, based upon variables of lake morphometry, watershed topography and climate as selected by the R mode factor analysis technique, were performed using multiple regression analysis. The significant relationships found may be useful in the tentative prediction of water quality and fishery potential in unconstructed water bodies.
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.subjectHydrology.
dc.subjectLakes -- Arizona.
dc.subjectWater quality -- Arizona -- Measurement.
dc.titleA classification of Arizona man-made lakes with applications to the prediction of water qualityen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.contributor.chairStull, Elisabeth Annen_US
dc.identifier.oclc212762353en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
dc.contributor.committeememberHoshaw, Roberten_US
dc.contributor.committeememberTash, Jerryen_US
dc.contributor.committeememberThomson, Donalden_US
thesis.degree.disciplineEcology & Evolutionary Biologyen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.nameM.S.en_US
dc.description.notehydrology collectionen_US
refterms.dateFOA2018-06-15T08:43:24Z
html.description.abstractTwenty-three small to large man-made lakes in Arizona (13 to 909 hectares) were surveyed for 44 variables of lake morphometry, watershed topography and climate, conservative and non-conservative water quality, and lake sediments. Water and sediment collections were made in two 14-day sampling tours during the summer of 1976. R mode factor analysis technique reduced the original data set to 15 independent variables to be used in Q mode factor analysis and dendrograph lake classification. On the basis of the two clustering methods, six classes of lakes are indicated: 1) White Mountain, 2) Southern Arizona, 3) Salt River- Phoenix water supply, 4) Escudilla Mountain, 5) miscellaneous large irrigation, and 6) miscellaneous high altitude. Nine lakes are independent of all others. Predictions of water and sediment quality in Arizona lakes, based upon variables of lake morphometry, watershed topography and climate as selected by the R mode factor analysis technique, were performed using multiple regression analysis. The significant relationships found may be useful in the tentative prediction of water quality and fishery potential in unconstructed water bodies.


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