Understanding Hurricane-induced Water Quantity and Quality Dynamics using Machine Learning and Environmental Data Analytics Approaches.

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dc.contributor.advisor Natalie Nelson Sagues, Chair
dc.contributor.advisor Angela Harris, Minor
dc.contributor.advisor Ryan Emanuel, Member
dc.contributor.advisor Barbara Doll, Member
dc.contributor.author Fidan, Emine Nur
dc.date.accessioned 2023-01-19T13:30:21Z
dc.date.available 2023-01-19T13:30:21Z
dc.date.issued 2022-11-15
dc.date.submitted 2022-11-18
dc.identifier.other deg31724
dc.identifier.uri https://www.lib.ncsu.edu/resolver/1840.20/40245
dc.title Understanding Hurricane-induced Water Quantity and Quality Dynamics using Machine Learning and Environmental Data Analytics Approaches.
dc.degree.name Doctor of Philosophy
dc.degree.level dissertation
dc.degree.discipline Biological & Agri Engineering
dc.date.accepted 2023-01-18
dc.date.defense 2022-11-15
dc.date.released 2023-01-19
dc.date.reviewed 2022-12-07


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