Threshold structures in conceptual rainfall-runoff models : potential problems with calibration

Persistent Link:
http://hdl.handle.net/10150/191912
Title:
Threshold structures in conceptual rainfall-runoff models : potential problems with calibration
Author:
Famiglietti, James Stephen,1960-
Issue Date:
1986
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:
One of the most frequently reported problems in the automatic calibration of conceptual rainfall-runoff (CRR) models is the inability to identify a unique and conceptually realistic parameter set for a model in use on a particular watershed. Sorooshian and Gupta [1983,1985] and Gupta and Sorooshian [1983] have shown that model structure can be largely responsible for this problem. This thesis extends this work by further investigating calibration problems resulting from model structure, particularly when the CRR model contains one or more threshold elements. Two aspects of this problem were addressed. In the first, the practice of modeling nonlinear processes with linear models is analyzed. In the second, reparameterization techniques to improve parameter identifiability (Gupta and Sorooshian [1983]; Sorooshian and Gupta [1985]) are demonstrated on a four-parameter simplified CRR model. The results of these studies show that the parameter identification procedure can in fact be hindered by model structure and that the interdependence of model structure and parameter estimation methodologies must be considered by CRR model users and developers if automatic calibration is to be successful.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Rain and rainfall -- Mathematical models.; Runoff -- Mathematical models.; Hydrology -- Mathematical models.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Hydrology and Water Resources; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Sorooshian, S. S.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleThreshold structures in conceptual rainfall-runoff models : potential problems with calibrationen_US
dc.creatorFamiglietti, James Stephen,1960-en_US
dc.contributor.authorFamiglietti, James Stephen,1960-en_US
dc.date.issued1986en_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.abstractOne of the most frequently reported problems in the automatic calibration of conceptual rainfall-runoff (CRR) models is the inability to identify a unique and conceptually realistic parameter set for a model in use on a particular watershed. Sorooshian and Gupta [1983,1985] and Gupta and Sorooshian [1983] have shown that model structure can be largely responsible for this problem. This thesis extends this work by further investigating calibration problems resulting from model structure, particularly when the CRR model contains one or more threshold elements. Two aspects of this problem were addressed. In the first, the practice of modeling nonlinear processes with linear models is analyzed. In the second, reparameterization techniques to improve parameter identifiability (Gupta and Sorooshian [1983]; Sorooshian and Gupta [1985]) are demonstrated on a four-parameter simplified CRR model. The results of these studies show that the parameter identification procedure can in fact be hindered by model structure and that the interdependence of model structure and parameter estimation methodologies must be considered by CRR model users and developers if automatic calibration is to be successful.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshRain and rainfall -- Mathematical models.en_US
dc.subject.lcshRunoff -- Mathematical models.en_US
dc.subject.lcshHydrology -- Mathematical models.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.chairSorooshian, S. S.en_US
dc.contributor.committeememberEvans, D. D.en_US
dc.contributor.committeememberDavis, D. R.en_US
dc.identifier.oclc213416530en_US
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