Exploring fault geometry uncertainties in finite-slip inversion with multiple moment tensor inversion

Wenyuan Fan, University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States, Peter M Shearer, Scripps Institution of Oceanography, La Jolla, United States, Guy Masters, University of California San Diego, La Jolla, CA, United States and Chen Ji, University of California Santa Barbara, Santa Barbara, CA, United States
Abstract:
Finite-fault source inversions are often performed with an assumed fault geometry. Green’s functions calculated using a fixed strike, dip and rake can introduce hard-to-quantify errors in the inversions if the true fault geometry deviates from the model assumptions. For mega-earthquakes with large rupture areas, it is important to consider fault curvature and other non-planar fault effects. To accommodate uncertainties in the fault geometry, we propose to parameterize the fault as multiple moment-tensor sources within a 3D grid of possible source locations. The grid is defined with respect to an assumed initial fault plane, spanning the likely 2D rupture extent and a small range in the direction to normal to the fault to accommodate errors in assumed fault location or orientation. Instead of determining the slip-rate history, a moment-rate function is solved. There are six unknowns per point at a given frequency and the best-fitting double-couple (i.e., strike and dip) can be extracted from the results. If we assume the earthquake occurs within a few fault planes, the unknowns to be solved should be spatially sparse. Recently emerging tools such as compressive sensing (CS) can be used to deal with the problem. For a case study, we will analyze the 2013 Okhotsk Mw 8.3 earthquake and hope to understand the uncertainty limits caused by fault geometry in the finite fault modeling.