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dc.contributor.authorLejcher, Terrence Richard,1945-
dc.creatorLejcher, Terrence Richard,1945-en_US
dc.date.accessioned2011-11-28T13:57:02Z
dc.date.available2011-11-28T13:57:02Z
dc.date.issued1969en_US
dc.identifier.urihttp://hdl.handle.net/10150/191510
dc.description.abstractSnow accumulation and melt patterns under several densities of ponderosa pine were analyzed using three statistical methods. Through the use of multiple linear regression, three prediction equations were developed. The most successful of the three equations predicted the melt rate of the snowpack using basal area and melt degree days as major variables. Path coefficient analysis was used to determine the relative importance of particular variables on snowmelt. Duncan's New Multiple Range test compared means of snowpack water equivalent in several stand densities during the melt phase. It was concluded that different ponderosa pine stocking levels did not influence snow accumulation. However, snow did melt more rapidly in stands of low density than in stands of high density.
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.lcshSnow surveys -- Arizona.en_US
dc.titleSnow accumulation and melt under various densities of Ponderosa pine in Arizona.en_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.contributor.chairThorud, David B.en_US
dc.identifier.oclc225199329en_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.dateFOA2018-06-15T23:06:33Z
html.description.abstractSnow accumulation and melt patterns under several densities of ponderosa pine were analyzed using three statistical methods. Through the use of multiple linear regression, three prediction equations were developed. The most successful of the three equations predicted the melt rate of the snowpack using basal area and melt degree days as major variables. Path coefficient analysis was used to determine the relative importance of particular variables on snowmelt. Duncan's New Multiple Range test compared means of snowpack water equivalent in several stand densities during the melt phase. It was concluded that different ponderosa pine stocking levels did not influence snow accumulation. However, snow did melt more rapidly in stands of low density than in stands of high density.


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