Spatial variability of precipitation in the San Dimas Experimental Forest and its effect on simulated streamflow.

Persistent Link:
http://hdl.handle.net/10150/191559
Title:
Spatial variability of precipitation in the San Dimas Experimental Forest and its effect on simulated streamflow.
Author:
Phanartzis, Christos Apostolou,1936-
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 effect of altitude on individual storm precipitation in some of the San Dimas experimental watersheds is investigated. It is found that there is a well-defined increase of storm precipitation with altitude for storms greater than one inch. This increase is a linear function of storm depth. Using 41 storms of different magnitudes, a precipitation-altitude relationship is derived for a small area in the San Dimas Experimental Forest. The regionalization of this relationship and its transferability are tested by analyzing differences (errors) between computed and observed storm precipitation values in each case. In testing the regionalization of the precipitation-altitude relationship by computing mean areal storm precipitation over a larger area the standard error of estimate is around 11 percent. In transfering the same relationship the results are not as good and give a standard error of 16 percent. For individual points, however, the error is much higher. A rainfall-runoff model is used as a tool for evaluating the effect of precipitation errors, on simulated streamflow, in a watershed of 4.5 square miles. For annual flows, errors range between 3.4 and 12. 8 percent while errors in simulated monthly flows are as high as 22 percent. It is also evident that there is a strong dependence of the error magnitude on the state (wet, dry, etc.) of the preceding year or months, whichever is applicable. An error propagation is observed as a result of consistently over-estimating the precipitation input to the model. This evaluation is more of a qualitative nature and the values of error given should he viewed in this sense.
Type:
Thesis-Reproduction (electronic); text; maps
Keywords:
maps
LCSH Subjects:
Hydrology.; Rain and rainfall -- California -- San Dimas Experimental Forest.; Precipitation (Meteorology) -- Measurement.; Stream measurements -- California -- San Dimas Experimental Forest.; Runoff -- Mathematical models.; Runoff -- California -- San Dimas Experimental Forest.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Hydrology and Water Resources; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Kisiel, Chester C.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleSpatial variability of precipitation in the San Dimas Experimental Forest and its effect on simulated streamflow.en_US
dc.creatorPhanartzis, Christos Apostolou,1936-en_US
dc.contributor.authorPhanartzis, Christos Apostolou,1936-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 effect of altitude on individual storm precipitation in some of the San Dimas experimental watersheds is investigated. It is found that there is a well-defined increase of storm precipitation with altitude for storms greater than one inch. This increase is a linear function of storm depth. Using 41 storms of different magnitudes, a precipitation-altitude relationship is derived for a small area in the San Dimas Experimental Forest. The regionalization of this relationship and its transferability are tested by analyzing differences (errors) between computed and observed storm precipitation values in each case. In testing the regionalization of the precipitation-altitude relationship by computing mean areal storm precipitation over a larger area the standard error of estimate is around 11 percent. In transfering the same relationship the results are not as good and give a standard error of 16 percent. For individual points, however, the error is much higher. A rainfall-runoff model is used as a tool for evaluating the effect of precipitation errors, on simulated streamflow, in a watershed of 4.5 square miles. For annual flows, errors range between 3.4 and 12. 8 percent while errors in simulated monthly flows are as high as 22 percent. It is also evident that there is a strong dependence of the error magnitude on the state (wet, dry, etc.) of the preceding year or months, whichever is applicable. An error propagation is observed as a result of consistently over-estimating the precipitation input to the model. This evaluation is more of a qualitative nature and the values of error given should he viewed in this sense.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.typemaps-
dc.subjectmaps-
dc.subject.lcshHydrology.en_US
dc.subject.lcshRain and rainfall -- California -- San Dimas Experimental Forest.en_US
dc.subject.lcshPrecipitation (Meteorology) -- Measurement.en_US
dc.subject.lcshStream measurements -- California -- San Dimas Experimental Forest.en_US
dc.subject.lcshRunoff -- Mathematical models.en_US
dc.subject.lcshRunoff -- California -- San Dimas Experimental Forest.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineHydrology and Water Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairKisiel, Chester C.en_US
dc.identifier.oclc213298158en_US
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