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A Nutrient-Phytoplankton-Zooplankton Model for Classifying Estuaries Based in Susceptibility to Nitrogen Loads

dc.contributor.authorZhou, Yuntao
dc.contributor.advisorScavia, Donald
dc.date.accessioned2006-04-25T17:55:02Z
dc.date.availableNO_RESTRICTIONen
dc.date.available2006-04-25T17:55:02Z
dc.date.issued2006-04-01
dc.identifier.urihttps://hdl.handle.net/2027.42/36310
dc.description.abstractEstuarine responses to nutrient loads can be remarkably different. Many driving variables including light, water residence time, physical stratification, and temperature are responsible for the diversity of the response. To classify estuaries based on their susceptibility to nutrient loads, a nutrient- phytoplankton- zooplankton (NPZ) model was developed and applied to river-dominated, well-mixed estuaries. Estuaries are classified as having low, medium, high and hyper eutrophic conditions by the model. The result of the model suggests that water residence time is an important controlling variable in the process of achieving a steady-state response to nutrient loads. Although phytoplankton responses to residence time vary under different loads, they have the same positive trend. Phytoplankton responses are almost linear with water residence time initially, then decrease, and eventually plateau.en
dc.format.extent492580 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen
dc.titleA Nutrient-Phytoplankton-Zooplankton Model for Classifying Estuaries Based in Susceptibility to Nitrogen Loadsen
dc.typeThesisen
dc.description.thesisdegreenameMaster of Science (MS)en_US
dc.description.thesisdegreedisciplineNatural Resources and Environmenten
dc.description.thesisdegreegrantorUniversity of Michigan, School of Natural Resources and Environment
dc.contributor.committeememberAllan, J. David
dc.subject.hlbsecondlevelNatural Resources and Environment
dc.subject.hlbtoplevelScience
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/36310/1/Thesis_Zhou.pdfen_US
dc.owningcollnameEnvironment and Sustainability, School for (SEAS/SNRE)


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