Show simple item record

Reconstructing and Forecasting the Water Balance of Lake Victoria

dc.contributor.authorBasch, Ari L.
dc.contributor.authorGronewold, Andrew D.
dc.contributor.advisorGronewold, Andrew
dc.date.accessioned2023-06-08T20:22:07Z
dc.date.available2023-06-08T20:22:07Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/2027.42/176965
dc.description.abstractLake Victoria is one of the largest freshwater lakes in the world, and serves as a critical resource to the region for energy production, the fishing industry, and agriculture. As one of the major sources of the Nile River, fluctuations in the water level of Lake Victoria have massive implications for the millions living in its basin and downstream. Here, we provide a comprehensive assessment of the Lake Victoria water balance using a combination of historical in situ data records, satellite observations, and a novel statistical model that has previously been applied to the Laurentian Great Lakes (in North America). More specifically, we employ this statistical model to develop historical estimates of Lake Victoria precipitation, evaporation, outflow, and tributary inflow that close the water balance over consecutive historical periods.
dc.subjectHydrology
dc.subjectStatistics
dc.subjectBayesian
dc.subjectVictoria
dc.subjectPrecipitation
dc.subjectEvaporation
dc.titleReconstructing and Forecasting the Water Balance of Lake Victoria
dc.typeProject
dc.subject.hlbtoplevelEngineering
dc.contributor.affiliationumComputer Science Engineering, Civil and Environmental Engineering
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176965/1/Ari_Basch_Honors_Capstone_Report_-_Ari_Basch.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176965/2/Ari_Basch_Honors_Capstone_Poster_-_Ari_Basch.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/7701
dc.working.doi10.7302/7701en
dc.owningcollnameHonors Program, The College of Engineering


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.