Prediction of hydraulic conductivity changes using soil characteristics

Persistent Link:
http://hdl.handle.net/10150/191674
Title:
Prediction of hydraulic conductivity changes using soil characteristics
Author:
Boyer, David George,1942-
Issue Date:
1978
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:
Permeameter experiments were performed on six Arizona soils using a solution of 12.5 meq/1 and varied sodium concentrations. Hydraulic conductivities for five soils were reduced 60 to 95 percent for input solutions having maximum sodium adsorption ratios (SAR) of 25. Effective soil sealing occurred even though the soils were alkaline. Sealing with sodium appears nearly irreversible at low solution concentrations and saturated conditions. The soil having the highest initial hydraulic conductivity recovered less than 20 percent of the original conductivity upon reapplication of a calcium solution. These results are useful when considering sealing small ponds by sodium applications. Hydraulic conductivity changes from increases in solution SAR were described mathematically using two empirically determined parameters that appear unique for each soil at a constant concentration. The parameters found for this study, plus those found from data of previous studies, were compared using multiple regression analysis to determine the most significant soil properties in predicting conductivity changes. Soil texture has the greatest influence on the parameters. An equation derived by combining data from eleven alkaline soils was selected as best for predicting hydraulic conductivities resulting from SAR changes. Predictions should be improved if additional soil data were available for analysis.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Soil permeability.; Soil percolation.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Hydrology and Water Resources; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Dutt, Gordon R.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titlePrediction of hydraulic conductivity changes using soil characteristicsen_US
dc.creatorBoyer, David George,1942-en_US
dc.contributor.authorBoyer, David George,1942-en_US
dc.date.issued1978en_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.abstractPermeameter experiments were performed on six Arizona soils using a solution of 12.5 meq/1 and varied sodium concentrations. Hydraulic conductivities for five soils were reduced 60 to 95 percent for input solutions having maximum sodium adsorption ratios (SAR) of 25. Effective soil sealing occurred even though the soils were alkaline. Sealing with sodium appears nearly irreversible at low solution concentrations and saturated conditions. The soil having the highest initial hydraulic conductivity recovered less than 20 percent of the original conductivity upon reapplication of a calcium solution. These results are useful when considering sealing small ponds by sodium applications. Hydraulic conductivity changes from increases in solution SAR were described mathematically using two empirically determined parameters that appear unique for each soil at a constant concentration. The parameters found for this study, plus those found from data of previous studies, were compared using multiple regression analysis to determine the most significant soil properties in predicting conductivity changes. Soil texture has the greatest influence on the parameters. An equation derived by combining data from eleven alkaline soils was selected as best for predicting hydraulic conductivities resulting from SAR changes. Predictions should be improved if additional soil data were available for analysis.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshSoil permeability.en_US
dc.subject.lcshSoil percolation.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.chairDutt, Gordon R.en_US
dc.contributor.committeememberEvans, Daniel D.en_US
dc.contributor.committeememberCluff, C. Brenten_US
dc.identifier.oclc212764287en_US
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