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dc.contributor.advisorInniss, Enos C. (Enos Charles)eng
dc.contributor.authorBrito, Johneng
dc.date.issued2013eng
dc.date.submitted2013 Springeng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on September 5, 2013).eng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionThesis advisor: Dr. Enos C. Innisseng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionM.S. University of Missouri-Columbia 2013.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Civil engineering.eng
dc.description"May 2013"eng
dc.description.abstractMethods for characterizing wetland-to-stream chemical connectivity were developed to help regulators define jurisdiction and wetland managers prioritize their use of resources. Chemical connectivity here is based on historic stream water quality found using publically available databases and analyzed in a Geographic Information System (GIS). Although stream data was readily available, wetland data was not abundant. Interpolation methods were therefore developed using observed water quality data points in streams and projecting them to adjacent wetlands. The different interpolation methods were compared using their root mean square error (RMSE) and local polynomial interpolation (LPI) for chloride data and Universal Kriging for specific conductance data was found to typically yield the best results. To also address the lack of actual wetland water quality data a relative site suitability analysis approach using GIS was developed to determine monitoring locations for generating additional data. The key environmental variables identified that relate to connectivity and potential health of the wetlands include hydrology and land use. In additional to conservative water quality parameters, the idea of measuring fluorescence-based excitation and emission matrix (EEM) is introduced. This is a rapid assessment source tracking tool for identifying the natural organic matter (NOM) in different waters. EEM trends through two drinking water treatment plants demonstrate the consistency of the EEM signature and shows that only the more aggressive chemical activities cause notable changes.eng
dc.format.extentxii, 191 pageseng
dc.identifier.urihttp://hdl.handle.net/10355/37885
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.sourceSubmitted by the University of Missouri--Columbia Graduate Schooleng
dc.subjectchemical connectivityeng
dc.subjectwetland managementeng
dc.subjectwater qualityeng
dc.titleStrategies for defining chemical connectivity between streams and wetlandseng
dc.typeThesiseng
thesis.degree.disciplineCivil and Environmental Engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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