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dc.contributor.advisorBaffaut, Claireen_US
dc.contributor.advisorAnderson, S. H. (Stephen H.)en_US
dc.contributor.authorO'Donnell, Thomas Kevin, 1978-en_US
dc.coverage.spatialMissouri -- Goodwater Creek Watershed (Boone County-Audrain County)
dc.date.issued2010eng
dc.date.submitted2010 Summeren_US
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on August 23, 2010).en_US
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.en_US
dc.descriptionDissertation advisor: Dr. Claire Baffaut and Dr. Stephen H. Anderson.en_US
dc.descriptionVita.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.descriptionPh. D. University of Missouri--Columbia 2010.en_US
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Soil, environmental, and atmospheric sciences.en_US
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.en_US
dc.format.extentxix, 344 pagesen_US
dc.identifier.merlinb80170729en_US
dc.identifier.merlinb80170729
dc.identifier.oclc671486936en_US
dc.identifier.otherODonnellT-072710-D579en_US
dc.identifier.urihttp://hdl.handle.net/10355/8869
dc.publisherUniversity of Missouri--Columbiaen_US
dc.relation.ispartofcollection2010 Freely available dissertations (MU)
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Dissertations. 2010 Dissertations
dc.subject.lcshWater qualityen_US
dc.subject.lcshWater quality managementen_US
dc.subject.lcshWater -- Pollution -- Environmental aspectsen_US
dc.subject.lcshAgricultural conservationen_US
dc.titleAssessing impacts and targeting of agricultural conservation practicesen_US
dc.typeThesisen_US
thesis.degree.disciplineSoil, environmental and atmospheric sciencesen_US
thesis.degree.disciplineSoil, environmental and atmospheric scienceseng
thesis.degree.grantorUniversity of Missouri--Columbiaen_US
thesis.degree.levelDoctoralen_US
thesis.degree.namePh. D.en_US


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