Development of a Risk Characterization Tool for Harmful Cyanobacteria Blooms on the Ohio River

Development of a Risk Characterization Tool for Harmful Cyanobacteria Blooms on the Ohio River

A data-driven approach to characterizing the risk of cyanobacteria-based harmful algal blooms (cyanoHABs) was undertaken for the Ohio River. Twenty-five years of river discharge data were used to develop Bayesian regression models that are currently applicable to 20 sites spread-out along the entire...

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Bibliographic Details
Main Authors: Christopher T. Nietch, Leslie Gains-Germain, James Lazorchak, Scott P. Keely, Gregory Youngstrom, Emilee M. Urichich, Brian Astifan, Abram DaSilva, Heather Mayfield
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Water
Subjects:
cyanobacteria
big river
harmful algae bloom
risk characterization
predictive modeling
Online Access:https://www.mdpi.com/2073-4441/14/4/644

Internet

https://www.mdpi.com/2073-4441/14/4/644

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