SCEC Award Number 18041 View PDF
Proposal Category Collaborative Proposal (Data Gathering and Products)
Proposal Title Construction of the Geologic Framework for the Community Rheology Model
Investigator(s)
Name Organization
Michael Oskin University of California, Davis John Shaw Harvard University
Other Participants Andreas Plesch, Senior Research Scientist
SCEC Priorities 1a, 1c, 3b SCEC Groups CXM, SDOT, SAFS
Report Due Date 03/15/2019 Date Report Submitted 05/04/2019
Project Abstract
 This past year, we developed a first iteration Geologic Framework (GF) within the SCEC Unified Structural Representation (USR) that is intended to support SCEC’s efforts to create a Community Rheologic Model (CRM). The Geologic Framework consists of eleven lithotectonic provinces that share similar rock types and attributes, and that cover significant parts of the model domain. These provinces reflect the inherent geologic history of southern California, including Mesozoic to Early Cenozoic subduction tectonics, and Late Cenozoic rifting and translation along the San Andreas system.
Intellectual Merit Lithology is one of the primary controls on rheology. The Geologic Framework describes the profound lithologic variation across southern California at a scale appropriate for physics-based simulation of the fault system. This will better inform the physical conditions for earthquake rupture, increase understanding of the depth extent of shear zones, and constrain post-seismic deformation and stress transfer. Integrating the Geologic Framework with the USR represents and important step toward model delivery, refinement and testing with seismic velocity information, and integration with other components to complete the community rheology model.
Broader Impacts This is an open community model that contributes to a key SCEC initiative to develop a community rheology model.
Exemplary Figure Fig.2: perspective views (S to N on left, W to E on right) of the polygonal GFM (grey map) embedded into a subset of the CFM-v.5.2 (red fault representations). Missing polygon boundary surfaces will be characterized and implementations then added.