OMB Individually Reported
Machine Learning to evaluate water quality [2024 INV#WO0000000109241]
Low riskExact public inventory row
Description
Examining the effect of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake
Detailed example
Better understanding of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Better understanding of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake
Controls / human review
ATO: No; PIA: Not published
Data needed
water-quality data