OMB Individually Reported
Using Machine Learning in USGS StreamStats to make suspended sediment and bedload predictions [2024 INV#WO0000000107977]
Low riskExact public inventory row
Description
Getting estimates of suspended sediment and bedload in Minnesota rivers without sampling data.
Detailed example
Estimates of suspended sediment and bedload in Minnesota rivers
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
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
A tool for resource managers who need estimates of suspended sediment and bedload in Minnesota rivers without sampling data.
Controls / human review
ATO: No; PIA: Not published
Data needed
Publicly available geospatial and continuous streamflow timeseries datasets.