Computationally Efficient Approaches to Modeling Flood Risk and River Discharge at Scale.

dc.contributor.advisorRoss Meentemeyer, Co-Chair
dc.contributor.advisorGeorgina Sanchez Salas, Co-Chair
dc.contributor.advisorAdam Terando, Member
dc.contributor.advisorHelena Mitasova, Member
dc.contributor.authorCollins, Elyssa Laine
dc.date.accepted2023-05-19
dc.date.accessioned2023-05-31T12:30:33Z
dc.date.available2023-05-31T12:30:33Z
dc.date.defense2023-04-27
dc.date.issued2023-04-27
dc.date.released2023-05-31
dc.date.reviewed2023-05-12
dc.date.submitted2023-05-02
dc.degree.disciplineGeospatial Analytics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg33388
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40990
dc.titleComputationally Efficient Approaches to Modeling Flood Risk and River Discharge at Scale.

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
9.16 MB
Format:
Adobe Portable Document Format

Collections