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Optimizing the In Situ Identification Evaluation System Health: Ammonia and Zinc as Examples

dc.contributor.authorMeyer, Kathryn
dc.contributor.advisorBurton, G. Allen
dc.date.accessioned2016-05-04T19:13:13Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2016-05-04T19:13:13Z
dc.date.issued2016-04
dc.date.submitted2016-04
dc.identifier.urihttps://hdl.handle.net/2027.42/117657
dc.description.abstractAnthropogenic influences on the environment have increased the levels of contaminants and pollution in aquatic ecosystems humans and wildlife depend on for water resources. It is especially important to be able to accurately and efficiently evaluate riverine contamination. The United States Environmental Protection Agency developed toxicity identification evaluation (TIE) protocols for evaluating sediment and surface water toxicity in a laboratory setting. Following this framework, Burton and Nordstrom developed an in-situ toxicity identification evaluation (iTIE) system, which allows for the toxicity analysis to be done in the field to avoid artifacts introduced when samples are transported to the laboratory.19 The tests presented in this paper provide data to further optimize the iTIE system through the evaluation of different resin (chelex, charcoal, and zeolite) and pollutant or contaminant (ammonia, zinc, nickel, and vanadium) combinations. The experimental results indicate that at least 3-5 grams of resin is needed for significant contaminant removal, the system flow must be maintained below 14 ml/min, and the iTIEs can transition successfully into Phase II of the TIE protocol by allowing for specific contaminant characterization.en_US
dc.language.isoen_USen_US
dc.subjectiTIEen_US
dc.subjectwater contaminantsen_US
dc.subjectammonia/zincen_US
dc.titleOptimizing the In Situ Identification Evaluation System Health: Ammonia and Zinc as Examplesen_US
dc.typeThesisen_US
dc.description.thesisdegreenameMaster of Science (MS)en_US
dc.description.thesisdegreedisciplineNatural Resources and Environmenten_US
dc.description.thesisdegreegrantorUniversity of Michiganen_US
dc.contributor.committeememberDrevnick, Paul
dc.identifier.uniqnamekatmeyeen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/117657/1/Kathryn_A_Meyer_M.S._Thesis.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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