Persistent Link:
http://hdl.handle.net/10150/300994
Title:
Statistical Models and Methods for Rivers in the Southwest
Author:
Hagan, Robert M.
Affiliation:
Department of Systems and Industrial Engineering, University of Arizona, Tucson, AZ 85721
Issue Date:
16-Apr-1977
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:
Riverflow modeling is believed useful for purposes of decision making with respect to reservoir control, irrigation planning, and flood forecasting and design of structures to contain floods. This author holds the view that present riverflow models in vogue are unsatisfactory because, for one thing, sample simulations according to these models do not resemble observed southwestern river records. The purpose of this paper is to outline a general Markov model which assumes only that rivers have a finite memory. We show how to calibrate the model from river records and then present evidence to support our contention that some success has been realized in mimicking typical flows by our simulation procedure.
Keywords:
Hydrology -- Arizona.; Water resources development -- Arizona.; Hydrology -- Southwestern states.; Water resources development -- Southwestern states.; Statistical models; Model studies; Simulation analysis; Computer models; Hydrologic data; River flow; River forecasting; Streamflow forecasting; Southwest U.S
ISSN:
0272-6106

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleStatistical Models and Methods for Rivers in the Southwesten_US
dc.contributor.authorHagan, Robert M.en_US
dc.contributor.departmentDepartment of Systems and Industrial Engineering, University of Arizona, Tucson, AZ 85721en_US
dc.date.issued1977-04-16-
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.abstractRiverflow modeling is believed useful for purposes of decision making with respect to reservoir control, irrigation planning, and flood forecasting and design of structures to contain floods. This author holds the view that present riverflow models in vogue are unsatisfactory because, for one thing, sample simulations according to these models do not resemble observed southwestern river records. The purpose of this paper is to outline a general Markov model which assumes only that rivers have a finite memory. We show how to calibrate the model from river records and then present evidence to support our contention that some success has been realized in mimicking typical flows by our simulation procedure.en_US
dc.subjectHydrology -- Arizona.en_US
dc.subjectWater resources development -- Arizona.en_US
dc.subjectHydrology -- Southwestern states.en_US
dc.subjectWater resources development -- Southwestern states.en_US
dc.subjectStatistical modelsen_US
dc.subjectModel studiesen_US
dc.subjectSimulation analysisen_US
dc.subjectComputer modelsen_US
dc.subjectHydrologic dataen_US
dc.subjectRiver flowen_US
dc.subjectRiver forecastingen_US
dc.subjectStreamflow forecastingen_US
dc.subjectSouthwest U.Sen_US
dc.identifier.issn0272-6106-
dc.identifier.urihttp://hdl.handle.net/10150/300994-
dc.identifier.journalHydrology and Water Resources in Arizona and the Southwesten_US
dc.typetexten_US
dc.typeProceedingsen_US
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