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OMB Individually Reported

Machine learning for tsunami source zones [2024 INV#WO0000000109313]

Low riskExact public inventory row

Description

State of the art tsunami hazard analysis for coastal communities and infrastructure is computationally demanding.

Detailed example

ML will be used to select the most representative source zones (among thousands of offshore earthquake ruptures)

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

computational efficiency

Controls / human review

ATO: No; PIA: Not published

Data needed

Offshore fault slip rate data and historical seismicity

Source

OMB 2025 Federal Agency AI Use Case Inventory

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