Examining the Effect of Physicochemical and Meteorological Variables on Water Quality Indicators of Harmful Algal Blooms in a Shallow Hypereutrophic Lake Using Machine Learning Techniques

We used machine learning to predict daily proxies for Harmful Algae Blooms in Upper Klamath Lake over 10 years and determined that lake inflows, temperature, and stratification were the most influential predictors. #ScienceSaturday #USGS #KlamathLake https