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dc.creatorJones, John Richarden_US
dc.date.accessioned2012-06-07T15:38:19Z
dc.date.available2012-06-07T15:38:19Z
dc.date.created1994en_US
dc.date.issued1994
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-1994-THESIS-J77en_US
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractThree models were evaluated to determine their ability to predict pore water quality in the subsurface. The models interpret measurements of soil electrical conductivity taken with an electromagnetic meter. Three sites with complex clay soil profiles were chosen for evaluation. Data from the three sites were initially interpreted using a two-layer model. The results were inconclusive. The data were then interpreted using a four-layer model which provided results worse than the two-layer model. The four-layer model was reapplied using better inputs. Results were obtained which were better than the first two models. The improvement in results was caused by using borehole soil cores to estimate subsurface soil properties. The primary difficulty in applying the models was the estimation of soil parameters in the subsurface. With the complex soil profile of the three test sites, any advantage gained from using a more complex model was apparently lost to the increased number of soil parameters required. Although the models were unable to make precise predictions of electrical conductivity and anion concentration, all three were able to give good general estimates of pore water quality. These estimates of pore water quality can aid in the placement of observation wells.en_US
dc.format.mediumelectronicen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherTexas A&M Universityen_US
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en_US
dc.subjectagricultural engineering.en_US
dc.subjectMajor agricultural engineering.en_US
dc.titleA four-layer model for interpreting electrical conductivity measurements of clay soils near agricultural lagoonsen_US
dc.typeThesisen_US
thesis.degree.disciplineagricultural engineeringen_US
thesis.degree.nameM.S.en_US
thesis.degree.levelMastersen_US
dc.type.genrethesis
dc.type.materialtexten_US
dc.format.digitalOriginreformatted digitalen_US


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