Erosion parameter identification in overland flow areas: Application of a global and local search algorithm

Persistent Link:
http://hdl.handle.net/10150/278533
Title:
Erosion parameter identification in overland flow areas: Application of a global and local search algorithm
Author:
Freedman, Vicky Lynn, 1963-
Issue Date:
1996
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:
Two optimization algorithms and two objective functions were applied to determine erosion parameters for a physically-based, event-oriented model designed to simulate the processes of sedimentation for small watersheds. Three different flow-induced erosion equations were also tested with the four optimization procedures to examine the predictive capabilities of the equations. Synthetic error-free data as well as data contaminated with correlated and random error provided the means for determining the effectiveness of the four optimization procedures studied. After selecting the most effective optimization procedure and flow-induced erosion equation, the model was tested using sediment data from rainfall simulator plots and a small experimental watershed. The results from the rainfall simulator studies indicated that a structural problem may exist within the model. The agreement between simulated and observed responses for the watershed events studied indicated that the model was capable of describing sedimentation processes when they occurred on a larger scale.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Hydrology.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Renewable Natural Resources
Degree Grantor:
University of Arizona
Advisor:
Hernandez, Mariano

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleErosion parameter identification in overland flow areas: Application of a global and local search algorithmen_US
dc.creatorFreedman, Vicky Lynn, 1963-en_US
dc.contributor.authorFreedman, Vicky Lynn, 1963-en_US
dc.date.issued1996en_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.abstractTwo optimization algorithms and two objective functions were applied to determine erosion parameters for a physically-based, event-oriented model designed to simulate the processes of sedimentation for small watersheds. Three different flow-induced erosion equations were also tested with the four optimization procedures to examine the predictive capabilities of the equations. Synthetic error-free data as well as data contaminated with correlated and random error provided the means for determining the effectiveness of the four optimization procedures studied. After selecting the most effective optimization procedure and flow-induced erosion equation, the model was tested using sediment data from rainfall simulator plots and a small experimental watershed. The results from the rainfall simulator studies indicated that a structural problem may exist within the model. The agreement between simulated and observed responses for the watershed events studied indicated that the model was capable of describing sedimentation processes when they occurred on a larger scale.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectHydrology.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorHernandez, Marianoen_US
dc.identifier.proquest1378991en_US
dc.identifier.bibrecord.b33950957en_US
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