Evaluation of disaggregation model in arid land stream flow generation

Persistent Link:
http://hdl.handle.net/10150/277033
Title:
Evaluation of disaggregation model in arid land stream flow generation
Author:
Imam, Bisher, 1960-
Issue Date:
1989
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:
A Disaggregation model was tested for arid land stream flow generating. The test was performed on data from Black River, near Fort Apache, Arizona. The model was tested in terms of preserving the relevant historical statistics on both monthly and daily levels, the monthly time series were disaggregated to a random observation of their daily components and the daily components were then reaggregated to yield monthly values. A computer model (DSGN) was developed to perform the model implementation. The model was written and executed on the Macintosh plus personal computer Data from two months were studied; the October data represented the low flow season, while the April data represented the high flow season. Twenty five years of data for each month was used. The generated data for the two months was compared with the historical data.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Streamflow -- Arizona -- Black River -- Mathematical models.; Streamflow -- Arizona -- Black River -- Computer simulation.; Time-series analysis.; Hydrologic models.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Renewable Natural Resources
Degree Grantor:
University of Arizona
Advisor:
Fogel, Martin

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleEvaluation of disaggregation model in arid land stream flow generationen_US
dc.creatorImam, Bisher, 1960-en_US
dc.contributor.authorImam, Bisher, 1960-en_US
dc.date.issued1989en_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.abstractA Disaggregation model was tested for arid land stream flow generating. The test was performed on data from Black River, near Fort Apache, Arizona. The model was tested in terms of preserving the relevant historical statistics on both monthly and daily levels, the monthly time series were disaggregated to a random observation of their daily components and the daily components were then reaggregated to yield monthly values. A computer model (DSGN) was developed to perform the model implementation. The model was written and executed on the Macintosh plus personal computer Data from two months were studied; the October data represented the low flow season, while the April data represented the high flow season. Twenty five years of data for each month was used. The generated data for the two months was compared with the historical data.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectStreamflow -- Arizona -- Black River -- Mathematical models.en_US
dc.subjectStreamflow -- Arizona -- Black River -- Computer simulation.en_US
dc.subjectTime-series analysis.en_US
dc.subjectHydrologic models.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorFogel, Martinen_US
dc.identifier.proquest1337429en_US
dc.identifier.oclc22584141en_US
dc.identifier.bibrecord.b17458092en_US
dc.identifier.bibrecord.b17458080en_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.