Phenology of cyanobacterial blooms in three catchments of the Laurentian Great Lakes

dc.contributor.advisorHood, Raleigh Ren_US
dc.contributor.authorWynne, Timothyen_US
dc.contributor.departmentMarine-Estuarine-Environmental Sciencesen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2020-10-10T05:33:22Z
dc.date.available2020-10-10T05:33:22Z
dc.date.issued2020en_US
dc.description.abstractThis dissertation discusses the cyanobacterial bloom phenology in three anthropogenically impacted regions of the Great Lakes: western Lake Erie, Saginaw Bay, and Green Bay. A detection algorithm was applied to ocean color satellite imagery, and a timeseries was constricted from each of the basins using either data from the MODIS sensor (Saginaw Bay), the MERIS sensor (Green Bay), or a combination of the two (western Lake Erie). The sensors have a high temporal resolution, collecting imagery several times a week. The algorithm used, the Cyanobacterial Index (CI), was applied to the imagery. The CI imagery was then sampled into fifteen 10-day composites throughout the bloom season (defined here as June 1 – October 31). Each of the five months will have three composites (each spanning ~10 days). From this point the bloom climatology is shown and the variability of each region is addressed. The interannual variability of the cyanobacterial blooms can be low (factor of ~2 in Saginaw Bay) or high (differing by a factor of ~20 in Green Bay and western Lake Erie). Various ancillary datasets describing the physical environment of each region were assembled including: field data, modeled data, remotely sensed data, or some combination therein. Impacts of associated cyanobacterial biotoxins were addressed and statistical models were formulated to explain any variability. The dissertation will also cross compare the three basins with one another in an effort to determine the similarities as well as differences among the regions. Management recommendations are given at the end of each of the three subsequent chapters to deter potential detrimental impacts of the blooms and their associated toxins.en_US
dc.identifierhttps://doi.org/10.13016/qoja-zj6j
dc.identifier.urihttp://hdl.handle.net/1903/26591
dc.language.isoenen_US
dc.subject.pqcontrolledBiological oceanographyen_US
dc.subject.pqcontrolledWater resources managementen_US
dc.subject.pqcontrolledRemote sensingen_US
dc.titlePhenology of cyanobacterial blooms in three catchments of the Laurentian Great Lakesen_US
dc.typeDissertationen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Wynne_umd_0117E_21057.pdf
Size:
3.8 MB
Format:
Adobe Portable Document Format