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

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...

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Bibliographic Details
Main Author: Almestad, Charles Henry.
Other Authors: Thames, John L.
Format: Thesis
Language:English
Published: The University of Arizona. 1983
Subjects:
Hydrology
Computer simulation
Watersheds > Data processing
Water > Storage > Data processing
Beaver Creek
Online Access:http://hdl.handle.net/10150/191777
id ftunivarizona:oai:repository.arizona.edu:10150/191777
record_format openpolar
spelling ftunivarizona:oai:repository.arizona.edu:10150/191777 2024-09-15T17:58:51+00:00 A methodology to assess stock pond performance using a coupled stochastic and deterministic computer model Almestad, Charles Henry. Thames, John L. 1983 http://hdl.handle.net/10150/191777 en eng The University of Arizona. http://hdl.handle.net/10150/191777 212931037 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. Hydrology Computer simulation Watersheds -- Data processing Water -- Storage -- Data processing Thesis-Reproduction (electronic) text 1983 ftunivarizona 2024-06-25T03:48:15Z 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. hydrology collection Thesis Beaver Creek The University of Arizona: UA Campus Repository
institution Open Polar
collection The University of Arizona: UA Campus Repository
op_collection_id ftunivarizona
language English
topic Hydrology
Computer simulation
Watersheds -- Data processing
Water -- Storage -- Data processing
spellingShingle Hydrology
Computer simulation
Watersheds -- Data processing
Water -- Storage -- Data processing
Almestad, Charles Henry.
A methodology to assess stock pond performance using a coupled stochastic and deterministic computer model
topic_facet Hydrology
Computer simulation
Watersheds -- Data processing
Water -- Storage -- Data processing
description 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. hydrology collection
author2 Thames, John L.
format Thesis
author Almestad, Charles Henry.
author_facet Almestad, Charles Henry.
author_sort Almestad, Charles Henry.
title A methodology to assess stock pond performance using a coupled stochastic and deterministic computer model
title_short A methodology to assess stock pond performance using a coupled stochastic and deterministic computer model
title_full A methodology to assess stock pond performance using a coupled stochastic and deterministic computer model
title_fullStr A methodology to assess stock pond performance using a coupled stochastic and deterministic computer model
title_full_unstemmed A methodology to assess stock pond performance using a coupled stochastic and deterministic computer model
title_sort methodology to assess stock pond performance using a coupled stochastic and deterministic computer model
publisher The University of Arizona.
publishDate 1983
url http://hdl.handle.net/10150/191777
genre Beaver Creek
genre_facet Beaver Creek
op_relation http://hdl.handle.net/10150/191777
212931037
op_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.
_version_ 1810435823340879872

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