Regionalization of average annual runoff models for ungaged watersheds in arid and semiarid regions

Persistent Link:
http://hdl.handle.net/10150/282559
Title:
Regionalization of average annual runoff models for ungaged watersheds in arid and semiarid regions
Author:
Andrade, Eunice Maia de, 1956-
Issue Date:
1997
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:
A prevailing problem in applied hydrology is the estimation of runoff from ungaged small watersheds and drainge basins. In this study, arid and semiarid regions were Grouped according to their climatic, geomorphologic, and soil characteristics, disregarding their geographic position. Eighty watersheds were used in this study from three countries: U.S., Brazil, and Australia. Twenty-two climatic, geomorphologic and soil variables were used for the delineation of homogeneous Groups in the cluster analysis, and two major Groups were defined. The results suggest that homogeneous Groups can be delimited independently of their geographic position. Cluster analysis and Andrews' plot were used for regionalization of the watersheds. The variables used for development of the models for each Group were selected by stepwise multiple regression analysis. The Andrews' plot further examination reinforce the statement that hydrologically similar watersheds are independent of their geographic position. In a preliminary study 60 watersheds were used to determine the most important variables. For Group I, the stepwise multiple regression analysis reduced the available 21 independent variables to three variables: rainfall, soil permeability index, and temperature. For Group II, only two variables were statistically significant (rainfall and watershed form factor). Once the most significant variables were selected, 20 additional watersheds with data were also included in the final study. Upon evaluation of the regression statistics, Group II responded better than Group I. The equations were: UNFORMATTED EQUATION FOLLOWS: Group I "Dry" Q = -68.476 + 0.0784 P + 4.131Temp -3.950Slpr n = 29 R² = 70% SE = 11.16 mm/yr Group II "Wet" Q = 1.29*10⁻¹¹* P⁴·⁴¹* Rf⁻⁰·⁰⁹³ n = 37 R² = 79% SE = 30.52 mm/yr UNFORMATTED EQUATION ENDS Computed annual runoff values for Group II showed a good agreement with observed values, suggesting that the developed equation is good for prediction of the annual runoff water yield. In contrast, predicted values for the Group I showed poor agreement with the observed values, suggesting that the model should be treated with caution.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Engineering, Environmental.; Environmental Sciences.; Engineering, Environmental.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Natural Resources
Degree Grantor:
University of Arizona
Advisor:
Hawkins, Richard H.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleRegionalization of average annual runoff models for ungaged watersheds in arid and semiarid regionsen_US
dc.creatorAndrade, Eunice Maia de, 1956-en_US
dc.contributor.authorAndrade, Eunice Maia de, 1956-en_US
dc.date.issued1997en_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.abstractA prevailing problem in applied hydrology is the estimation of runoff from ungaged small watersheds and drainge basins. In this study, arid and semiarid regions were Grouped according to their climatic, geomorphologic, and soil characteristics, disregarding their geographic position. Eighty watersheds were used in this study from three countries: U.S., Brazil, and Australia. Twenty-two climatic, geomorphologic and soil variables were used for the delineation of homogeneous Groups in the cluster analysis, and two major Groups were defined. The results suggest that homogeneous Groups can be delimited independently of their geographic position. Cluster analysis and Andrews' plot were used for regionalization of the watersheds. The variables used for development of the models for each Group were selected by stepwise multiple regression analysis. The Andrews' plot further examination reinforce the statement that hydrologically similar watersheds are independent of their geographic position. In a preliminary study 60 watersheds were used to determine the most important variables. For Group I, the stepwise multiple regression analysis reduced the available 21 independent variables to three variables: rainfall, soil permeability index, and temperature. For Group II, only two variables were statistically significant (rainfall and watershed form factor). Once the most significant variables were selected, 20 additional watersheds with data were also included in the final study. Upon evaluation of the regression statistics, Group II responded better than Group I. The equations were: UNFORMATTED EQUATION FOLLOWS: Group I "Dry" Q = -68.476 + 0.0784 P + 4.131Temp -3.950Slpr n = 29 R² = 70% SE = 11.16 mm/yr Group II "Wet" Q = 1.29*10⁻¹¹* P⁴·⁴¹* Rf⁻⁰·⁰⁹³ n = 37 R² = 79% SE = 30.52 mm/yr UNFORMATTED EQUATION ENDS Computed annual runoff values for Group II showed a good agreement with observed values, suggesting that the developed equation is good for prediction of the annual runoff water yield. In contrast, predicted values for the Group I showed poor agreement with the observed values, suggesting that the model should be treated with caution.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectEngineering, Environmental.en_US
dc.subjectEnvironmental Sciences.en_US
dc.subjectEngineering, Environmental.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineNatural Resourcesen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorHawkins, Richard H.en_US
dc.identifier.proquest9814462en_US
dc.identifier.bibrecord.b37745256en_US
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