Predicting degree day snow melt factors with crown closure in Arizona ponderosa pine.

Persistent Link:
http://hdl.handle.net/10150/191565
Title:
Predicting degree day snow melt factors with crown closure in Arizona ponderosa pine.
Author:
Jackson, Patrick Lee,1946-
Issue Date:
1972
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:
The increasing demand for water in Arizona has caused man to evaluate possibilities for increasing surface runoff from high elevation snow accumulation areas. To date, a consistent method of predicting snow melt in field situations, for runoff estimation, has not been developed. In an attempt to alleviate this demand for water, snow melt indices based on median and maximum air temperatures were evaluated using Arizona ponderosa pine overstory crown closure as an inventory-prediction variable. Regression analysis was used to develop the prediction relationship, with degree day snow melt factors as the dependent variables and percent crown closure as the independent variable. The median temperature prediction relationship was non-significant. The maximum temperature prediction relationship was significant, although it explained only 12 percent of the variation in degree day snow melt factors. Validation of the maximum temperature relationship indicated it may not be adequate for snow melt prediction in field situations. On the basis of this study, crown closure (as an inventory-Prediction variable) did not appear to be an adequate predictor of median or maximum temperature degree day snow melt factors in Arizona ponderosa pine.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Snow -- Arizona.; Snow surveys -- Arizona.; Ponderosa pine -- Arizona.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Watershed Management; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Ffolliott, Peter F.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titlePredicting degree day snow melt factors with crown closure in Arizona ponderosa pine.en_US
dc.creatorJackson, Patrick Lee,1946-en_US
dc.contributor.authorJackson, Patrick Lee,1946-en_US
dc.date.issued1972en_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.abstractThe increasing demand for water in Arizona has caused man to evaluate possibilities for increasing surface runoff from high elevation snow accumulation areas. To date, a consistent method of predicting snow melt in field situations, for runoff estimation, has not been developed. In an attempt to alleviate this demand for water, snow melt indices based on median and maximum air temperatures were evaluated using Arizona ponderosa pine overstory crown closure as an inventory-prediction variable. Regression analysis was used to develop the prediction relationship, with degree day snow melt factors as the dependent variables and percent crown closure as the independent variable. The median temperature prediction relationship was non-significant. The maximum temperature prediction relationship was significant, although it explained only 12 percent of the variation in degree day snow melt factors. Validation of the maximum temperature relationship indicated it may not be adequate for snow melt prediction in field situations. On the basis of this study, crown closure (as an inventory-Prediction variable) did not appear to be an adequate predictor of median or maximum temperature degree day snow melt factors in Arizona ponderosa pine.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshSnow -- Arizona.en_US
dc.subject.lcshSnow surveys -- Arizona.en_US
dc.subject.lcshPonderosa pine -- 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.chairFfolliott, Peter F.en_US
dc.identifier.oclc212908309en_US
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