Factors affecting snow accumulation, melt, and runoff on an Arizona watershed.

Persistent Link:
http://hdl.handle.net/10150/191520
Title:
Factors affecting snow accumulation, melt, and runoff on an Arizona watershed.
Author:
Garn, Herbert S.
Issue Date:
1969
Publisher:
The University of Arizona.
Rights:
Copyright © 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.
Abstract:
Factors affecting snow accumulation and melt in the ponderosa pine type on a small Arizona watershed were investigated by using multiple regression analysis. Sunlight factor, elevation, canopy coverage, and canopy coverage to the north were the important variables in models predicting snow depth and water content. A regression model was developed to predict loss in snow depth and water content for the watershed. Models having snow depth as the dependent variable consistently explained more of the variation than those having water content as the dependent variable. Snow in low, medium, and high potential solar radiation levels on the watershed was compared using Duncan's New Multiple Range test. The low radiation level accumulated more snow and had a slower melt rate than the other two levels. Eighteen percent of the peak snowpack water content was measured as runoff at the flume of the watershed. There appeared to be about a one-day lag between the time of peak snowmelt and the time of peak runoff.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Watersheds -- Research.; Snow surveys -- Arizona.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Watershed Management; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Thorud, David B.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleFactors affecting snow accumulation, melt, and runoff on an Arizona watershed.en_US
dc.creatorGarn, Herbert S.en_US
dc.contributor.authorGarn, Herbert S.en_US
dc.date.issued1969en_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.description.abstractFactors affecting snow accumulation and melt in the ponderosa pine type on a small Arizona watershed were investigated by using multiple regression analysis. Sunlight factor, elevation, canopy coverage, and canopy coverage to the north were the important variables in models predicting snow depth and water content. A regression model was developed to predict loss in snow depth and water content for the watershed. Models having snow depth as the dependent variable consistently explained more of the variation than those having water content as the dependent variable. Snow in low, medium, and high potential solar radiation levels on the watershed was compared using Duncan's New Multiple Range test. The low radiation level accumulated more snow and had a slower melt rate than the other two levels. Eighteen percent of the peak snowpack water content was measured as runoff at the flume of the watershed. There appeared to be about a one-day lag between the time of peak snowmelt and the time of peak runoff.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshWatersheds -- Research.en_US
dc.subject.lcshSnow surveys -- Arizona.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineWatershed Managementen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairThorud, David B.en_US
dc.contributor.committeememberFfolliot, Peter F.en_US
dc.identifier.oclc213412552en_US
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