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dc.contributor.authorKoval, Daniel J.
dc.date.accessioned2021-09-07T19:25:25Z
dc.date.available2021-09-07T19:25:25Z
dc.date.issued2015-04-10
dc.identifier.urihttp://hdl.handle.net/1951/72818
dc.description.abstractNitrogen run off into Long Island Sound (LIS) and resulting eutrophication-driven hypoxia can be effectively mitigated with year round seaweed aquaculture. Geographic information systems (GIS) offers an invaluable tool for optimizing site selection. To maximize on an annual basis both nutrient removal and crop biomass, two species (sugar kelp Saccharina latissima and the red seaweed Gracilaria tikvaiae) were examined in this model. Unrestricted farmable areas of LIS were first identified. Water column data for these areas was then analyzed including; nitrogen, phosphorus, and chlorophyll-a concentrations, as well as temperature, salinity, and dissolved oxygen. Using GIS, seasonal and monthly variations in these water quality parameters allow planners to identify optimum planting times and areas as well as determine site specific crop biomass and nutrient removal capacity.
dc.language.isoen_US
dc.subjectAquaculture GIS Long Island Sound Nutrient Bio-Extraction Kelp Gracilaria
dc.titleGIS Modeling of Aquaculture Site in Long Island Sound for Nutrient Bio-extraction
dc.typeposter_presentation
dc.contributor.organizationPurchase College
dc.description.institutionSUNY Brockport
dc.description.publicationtitleSUNY Undergraduate Research Conference
dc.source.statuspublished


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