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

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dc.contributor.advisorNatalie Nelson Sagues, Chair
dc.contributor.advisorAngela Harris, Minor
dc.contributor.advisorRyan Emanuel, Member
dc.contributor.advisorBarbara Doll, Member
dc.contributor.authorFidan, Emine Nur
dc.date.accepted2023-01-18
dc.date.accessioned2023-01-19T13:30:21Z
dc.date.available2023-01-19T13:30:21Z
dc.date.defense2022-11-15
dc.date.issued2022-11-15
dc.date.released2023-01-19
dc.date.reviewed2022-12-07
dc.date.submitted2022-11-18
dc.degree.disciplineBiological & Agri Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg31724
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40245
dc.titleUnderstanding Hurricane-induced Water Quantity and Quality Dynamics using Machine Learning and Environmental Data Analytics Approaches.

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