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dc.contributor.authorGopen, Stuart Rogers,1946-
dc.creatorGopen, Stuart Rogers,1946-en_US
dc.date.accessioned2011-11-28T13:59:34Z
dc.date.available2011-11-28T13:59:34Z
dc.date.issued1974en_US
dc.identifier.urihttp://hdl.handle.net/10150/191592
dc.description.abstractA general technique was developed to enable the land manager to predict the "net" effect of an opening on the snowpack in and adjacent to that opening at any given location at any point in time. The technique was illustrated by collecting data at seven study sites located in the ponderosa pine type of Arizona on 10 measurement dates. Multiple regression analyses utilizing these data produced several significant equations (at the a = .01 level) for predicting the "net" effect of an opening in the ponderosa pine type of Arizona. In addition, the significant equations yielded site information, within the range of conditions studied, which could be utilized to maximize or minimize the "net" effect of openings, depending upon the desired land management objectives. Knowledge of these site variables could aid the land manager in decisions concerning the location and size of proposed timber cuts in situations where water yield from snowpacks is an important consideration.
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.subjectSnow surveys -- Arizona.
dc.subjectLumbering -- Arizona.
dc.titleA time-space technique to analyze snowpacks in and adjacent to openings in the forest.en_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.contributor.chairFfolliott, Peter F.en_US
dc.identifier.oclc213387126en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineWatershed Managementen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.nameM.S.en_US
dc.description.notehydrology collectionen_US
refterms.dateFOA2018-04-26T04:56:30Z
html.description.abstractA general technique was developed to enable the land manager to predict the "net" effect of an opening on the snowpack in and adjacent to that opening at any given location at any point in time. The technique was illustrated by collecting data at seven study sites located in the ponderosa pine type of Arizona on 10 measurement dates. Multiple regression analyses utilizing these data produced several significant equations (at the a = .01 level) for predicting the "net" effect of an opening in the ponderosa pine type of Arizona. In addition, the significant equations yielded site information, within the range of conditions studied, which could be utilized to maximize or minimize the "net" effect of openings, depending upon the desired land management objectives. Knowledge of these site variables could aid the land manager in decisions concerning the location and size of proposed timber cuts in situations where water yield from snowpacks is an important consideration.


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