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dc.creatorMohite, Mahendra P.en_US
dc.date.accessioned2012-06-07T22:33:02Z
dc.date.available2012-06-07T22:33:02Z
dc.date.created1993en_US
dc.date.issued1993
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-1993-THESIS-M6974en_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.abstractThe concept of visualization in hydrologic modeling is discussed. A concept for integrating a knowledge-based system for analyzing simulation results is introduced. Visualization and expert, computer-based analysis when combined together produces a powerful tool for spatial data analysis and decision support. An application of such an integrated system in the context of nonpoint source (NPS) pollution control has been discussed to demonstrate these concepts. After a simulated implementation of the BMP recommendations, about 40 percent of the reduction in the area contributing above threshold limits (5 t/ac/yr) while 60 percent reduction in terms of volume of soil was observed over the watershed, for given rainfall conditions. The system provides an unique opportunity to evaluate and visualize the effects of alternative management practices used for erosion control. It was found that with appropriate land management, about at least a 40 percent reduction in the area exceeding the threshold can be obtained for rainfall ranging from 0.5 to 5 inches. A methodology for addressing nutrient management has been developed as well. Although the domain specific nature of the system limits the alternatives assessed, the system addresses the need for GIS based data analysis and interpretation, and also generates an optimum best management practices (BMPS) map for NPS pollution control.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.titleKnowledge-based modeling using GIS: nonpoint source pollution applicationen_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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