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Fault-System Solutions for the Earthquake Rupture Forecast (Branch-Averaged and Epistemic) for the 2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands

Published by U.S. Geological Survey | Department of the Interior | Catalog Last Checked: August 01, 2026 at 04:22 AM | Dataset Last Updated: May 13, 2026 at 12:00 AM
This dataset contains the branch-averaged fault-system solution for the earthquake rupture forecast (ERF) used in the 2025 U.S. Geologic Survey (USGS) National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands. These results were developed using an inversion methodology (Milner and Field, 2024) and consist of a rupture set and a solution. A rupture set defines all of the on-fault supra-seismogenic ruptures in a fault system and their properties (magnitude, rake, etc.). A solution defines the annual rate of occurrence of each rupture and also supplies information about the gridded seismicity model. This dataset also includes epistemic fault-system solution logic trees, in separate files for the crustal and subduction models. These files contain the data for the fault-system rupture sets and solutions across each branch of the epistemic logic trees, and were used to create the branch-averaged fault-system solution. See Milner and others (2025) and the 2025_PRVI_NSHM_Fault-System_Solution_READ_ME.txt file for more details.

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