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dc.contributor.advisorBaffaut, Claireeng
dc.contributor.advisorAnderson, S. H. (Stephen H.)eng
dc.contributor.authorO'Donnell, Thomas Kevin, 1978-eng
dc.coverage.spatialMissouri -- Goodwater Creek Watershed (Boone County-Audrain County)eng
dc.date.issued2010eng
dc.date.submitted2010 Summereng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on August 23, 2010).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDissertation advisor: Dr. Claire Baffaut and Dr. Stephen H. Anderson.eng
dc.descriptionVita.eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionPh. D. University of Missouri--Columbia 2010.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Soil, environmental, and atmospheric sciences.eng
dc.description.abstractThe U.S. Department of Agriculture initiated the Conservation Effects Assessment Project in 2003 to quantify water quality and wildlife benefits of conservation programs funded by the 2002 Farm Security and Rural Investment Act. This study examined the effects of agricultural best management practices (BMPs) implemented in the Goodwater Creek Experimental Watershed (GCEW) and investigated strategies to target future BMPs. Evaluation of storm events between 1993 and 2006 showed no significant BMP effects on dissolved atrazine and NO₃-N losses after 14% of the GCEW had been affected by BMP establishment. Approximately 20 and 4 years of monitoring will be needed before a statistically significant ([alpha]=0.05) 25% reduction in mean dissolved atrazine and nitrate-N can be demonstrated at the GCEW outlet, respectively. A widely used hydrologic model, SWAT, identified fields adjacent to streams with lesser depths to the argillic horizon as the highest risk for atrazine and NO₃-N pollutant loss. Twenty two percent and 34% of cropped fields in the GCEW required establishment of vegetative filter strips to reduce dissolved atrazine and NO₃-N loads by 25% at the GCEW based on SWAT predictions. A 99% accurate method to quantify soil redoximorphic features (SRFs) was developed using a digital camera and image classification software. Correlation between quantified SRFs and the topographic wetness index was found for one of two GCEW fields, indicating field soil surveys may serve as relatively quick reconnaissance methods to identify sensitive field areas.eng
dc.format.extentxix, 344 pageseng
dc.identifier.merlinb80170729eng
dc.identifier.merlinb80170729eng
dc.identifier.oclc671486936eng
dc.identifier.otherODonnellT-072710-D579eng
dc.identifier.urihttp://hdl.handle.net/10355/8869eng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcollection2010 Freely available dissertations (MU)eng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Dissertations. 2010 Dissertationseng
dc.subject.lcshWater qualityeng
dc.subject.lcshWater quality managementeng
dc.subject.lcshWater -- Pollution -- Environmental aspectseng
dc.subject.lcshAgricultural conservationeng
dc.titleAssessing impacts and targeting of agricultural conservation practiceseng
dc.typeThesiseng
thesis.degree.disciplineSoil, environmental and atmospheric sciences (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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