Persistent Link:
http://hdl.handle.net/10150/300117
Title:
A Stochastic Analysis of Flows on Rillitto Creek
Author:
Baran, N. E.; Kisiel, C. C.; Duckstein, L.
Affiliation:
Hydrology & Water Resources, University of Arizona
Issue Date:
23-Apr-1971
Rights:
Copyright ©, where appropriate, is held by the author.
Collection Information:
This article is part of the Hydrology and Water Resources in Arizona and the Southwest collections. Digital access to this material is made possible by the Arizona-Nevada Academy of Science and the University of Arizona Libraries. For more information about items in this collection, contact anashydrology@gmail.com.
Publisher:
Arizona-Nevada Academy of Science
Journal:
Hydrology and Water Resources in Arizona and the Southwest
Abstract:
In order to construct a simulation model for ephemeral streamflow and to examine in depth the problem of the worth of data for that model, measurements of the ephemeral streamflow of Rillitto creek, Tucson, were analyzed for the period 1933-1965. The simulation model was based on several hypotheses: (1) flow durations and their succeeding dry periods (time when no flow is present) are independent; (2) the distribution of the lengths of the dry periods and flows is stationary over a certain period of the year (summer); (3) stationary probability distributions for flow durations and for dry period lengths can be derived. A related problem was how to derive a simulation model for the total amount of flow (in acre-ft) within 1 flow period. Three variables were considered: flow duration (minutes), peak intensity of flow (cu ft/sec) and antecedent dry period-minutes (ADP). Because the assumption of variance constancy does not hold, a multiplicative regression model was used. Using an analysis of variance, which is described in detail, the worth of the 3 kinds of data were examined in relation to total flow. It was concluded that there are at least 5 times during the year when the flow intervals differ significantly, and the ADP is not important in determining flow volume because of the poison flow arrival rate in summer. Events occur at random and are not clustered as in summer, indicating that channel moisture does not differ much between flow events.
Keywords:
Water resources development -- Arizona.; Hydrology -- Arizona.; Hydrology -- Southwestern states.; Water resources development -- Southwestern states.; Stochastic processes; Model studies; Statistical models; Ephemeral streams; Streamflow; Arid lands; Arizona; Regression analyses; Correlation analyses; Intermittent streams; Probability; Hydrographs; Flow characteristics; Time series; Analysis; Runoff forecasting; Simulation analysis; Analysis of variance; Antecedent dry periods
ISSN:
0272-6106

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleA Stochastic Analysis of Flows on Rillitto Creeken_US
dc.contributor.authorBaran, N. E.en_US
dc.contributor.authorKisiel, C. C.en_US
dc.contributor.authorDuckstein, L.en_US
dc.contributor.departmentHydrology & Water Resources, University of Arizonaen_US
dc.date.issued1971-04-23-
dc.rightsCopyright ©, where appropriate, is held by the author.en_US
dc.description.collectioninformationThis article is part of the Hydrology and Water Resources in Arizona and the Southwest collections. Digital access to this material is made possible by the Arizona-Nevada Academy of Science and the University of Arizona Libraries. For more information about items in this collection, contact anashydrology@gmail.com.en_US
dc.publisherArizona-Nevada Academy of Scienceen_US
dc.identifier.journalHydrology and Water Resources in Arizona and the Southwesten_US
dc.description.abstractIn order to construct a simulation model for ephemeral streamflow and to examine in depth the problem of the worth of data for that model, measurements of the ephemeral streamflow of Rillitto creek, Tucson, were analyzed for the period 1933-1965. The simulation model was based on several hypotheses: (1) flow durations and their succeeding dry periods (time when no flow is present) are independent; (2) the distribution of the lengths of the dry periods and flows is stationary over a certain period of the year (summer); (3) stationary probability distributions for flow durations and for dry period lengths can be derived. A related problem was how to derive a simulation model for the total amount of flow (in acre-ft) within 1 flow period. Three variables were considered: flow duration (minutes), peak intensity of flow (cu ft/sec) and antecedent dry period-minutes (ADP). Because the assumption of variance constancy does not hold, a multiplicative regression model was used. Using an analysis of variance, which is described in detail, the worth of the 3 kinds of data were examined in relation to total flow. It was concluded that there are at least 5 times during the year when the flow intervals differ significantly, and the ADP is not important in determining flow volume because of the poison flow arrival rate in summer. Events occur at random and are not clustered as in summer, indicating that channel moisture does not differ much between flow events.en_US
dc.subjectWater resources development -- Arizona.en_US
dc.subjectHydrology -- Arizona.en_US
dc.subjectHydrology -- Southwestern states.en_US
dc.subjectWater resources development -- Southwestern states.en_US
dc.subjectStochastic processesen_US
dc.subjectModel studiesen_US
dc.subjectStatistical modelsen_US
dc.subjectEphemeral streamsen_US
dc.subjectStreamflowen_US
dc.subjectArid landsen_US
dc.subjectArizonaen_US
dc.subjectRegression analysesen_US
dc.subjectCorrelation analysesen_US
dc.subjectIntermittent streamsen_US
dc.subjectProbabilityen_US
dc.subjectHydrographsen_US
dc.subjectFlow characteristicsen_US
dc.subjectTime seriesen_US
dc.subjectAnalysisen_US
dc.subjectRunoff forecastingen_US
dc.subjectSimulation analysisen_US
dc.subjectAnalysis of varianceen_US
dc.subjectAntecedent dry periodsen_US
dc.identifier.issn0272-6106-
dc.identifier.urihttp://hdl.handle.net/10150/300117-
dc.identifier.journalHydrology and Water Resources in Arizona and the Southwesten_US
dc.typetexten_US
dc.typeProceedingsen_US
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