A methodology to assess stock pond performance using a coupled stochastic and deterministic computer model

Persistent Link:
http://hdl.handle.net/10150/191777
Title:
A methodology to assess stock pond performance using a coupled stochastic and deterministic computer model
Author:
Almestad, Charles Henry.
Issue Date:
1983
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 computer simulation model is presented for evaluating the performance of small earthen reservoirs in natural watersheds. The model can be used as a tool in design and impact studies utilizing a minimum of data for calibration. Data from the Beaver Creek Experimental Watershed of Arizona were used to develop the model. Stochastic precipitation and temperature models are used to generate a synthetic time stream of precipitation (rain, snow or a mixture). Deterministic models are used to melt snow, determine runoff volume and route runoff water through the pond. Two seasonal watershed runoff models were developed utilizing the SCS equation with improved accuracy. Output from the simulation model consists of statistics and cumulative density functions for annual spillage, annual retention, and the number of days a pond is dry on an annual and monthly basis. The simulation model yields output that can readily be utilized by downstream water users or ranchers for decision making.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Computer simulation.; Watersheds -- Data processing.; Water -- Storage -- Data processing.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Hydrology and Water Resources; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Thames, John L.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleA methodology to assess stock pond performance using a coupled stochastic and deterministic computer modelen_US
dc.creatorAlmestad, Charles Henry.en_US
dc.contributor.authorAlmestad, Charles Henry.en_US
dc.date.issued1983en_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 computer simulation model is presented for evaluating the performance of small earthen reservoirs in natural watersheds. The model can be used as a tool in design and impact studies utilizing a minimum of data for calibration. Data from the Beaver Creek Experimental Watershed of Arizona were used to develop the model. Stochastic precipitation and temperature models are used to generate a synthetic time stream of precipitation (rain, snow or a mixture). Deterministic models are used to melt snow, determine runoff volume and route runoff water through the pond. Two seasonal watershed runoff models were developed utilizing the SCS equation with improved accuracy. Output from the simulation model consists of statistics and cumulative density functions for annual spillage, annual retention, and the number of days a pond is dry on an annual and monthly basis. The simulation model yields output that can readily be utilized by downstream water users or ranchers for decision making.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshComputer simulation.en_US
dc.subject.lcshWatersheds -- Data processing.en_US
dc.subject.lcshWater -- Storage -- Data processing.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.chairThames, John L.en_US
dc.identifier.oclc212931037en_US
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