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dc.contributor.authorCanale, R. P.
dc.contributor.authorHineman, D. F.
dc.contributor.authorNachiappan, S.
dc.date.accessioned2013-08-08T19:19:00Z
dc.date.available2013-08-08T19:19:00Z
dc.date.issued1974-02
dc.identifier.urihttp://hdl.handle.net/11045/24107
dc.descriptionPartial OCR done. 119 pages total.en_US
dc.description.abstractFor the past three years researchers supported by The University of Michigan Sea Grant Program have conducted extensive field surveys in both arms of Grand Traverse Bay. These surveys have included observations of several physical, chemical,and biological characteristics of the Bay. A major goal of this field sampling program has been to provide data which can be used to construct mathematical models which specify interactions and mechanisms among the variables. Subsequent to verification, the models are intended to be used to predict certain measures of water quality which result from various pollution control schemes and alternate patterns of land use and zoning. This report describes the utilization of these data for the construction, verification, and application of a dynamic model for plankton and nutrients in the lower west arm of Grand Traverse Bay.en_US
dc.description.sponsorshipMaterials from the collection of Thomas M. Kelly, Fisheries Biologist and founder of Inland Seas Education Association.en_US
dc.language.isoen_USen_US
dc.publisherUniversity of Michigan - Sea Grant Programen_US
dc.subjectAlgaeen_US
dc.subjectBioassayen_US
dc.subjectChemical propertiesen_US
dc.subjectChlorophyllsen_US
dc.subjectDiatomsen_US
dc.subjectForecastingen_US
dc.subjectFresh water biologyen_US
dc.subjectGrand Traverse Bayen_US
dc.subjectInorganic nitratesen_US
dc.subjectInorganic phosphatesen_US
dc.subjectMathematical modelsen_US
dc.subjectNutrientsen_US
dc.subjectPlanktonen_US
dc.subjectPrimary biological productivityen_US
dc.subjectSea Grant Programen_US
dc.subjectSiliconen_US
dc.subjectSpatial distributionen_US
dc.subjectSurveysen_US
dc.subjectWater pollutionen_US
dc.subjectWater quality dataen_US
dc.titleA Biological Production Model for Grand Traverse Bayen_US
dc.typeTechnical Reporten_US


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