OMB Individually Reported
Machine Learning for Rapid Earthquake Magnitude Estimation
Low riskExact public inventory row
Description
A machine learning algorithm that utilizes statistics of earthquake waveforms to determine whether an earthquake is large enough to warrant an earthquake early warning alert, with applications to the earthquake early warning system.
Detailed example
Rapid determination of whether an earthquake is large enough to warrant an alert or not.
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
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Improve accuracy and speed of earthquake magnitude determination for earthquake early warning. Public safety benefits from a faster, more accurate warning system.
Controls / human review
ATO: No; PIA: Not published