Type
ArticleKAUST Department
Earth Science and Engineering ProgramPhysical Sciences and Engineering (PSE) Division
Date
2010-05-07Permanent link to this record
http://hdl.handle.net/10754/552179
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Show full item recordAbstract
This article investigates different approaches for assessing the degree of roughness of the slip distribution of future earthquakes. First, we analyze a database of slip images extracted from a suite of 152 finite-source rupture models from 80 events (Mw = 4.1–8.9). This results in an empirical model defining the distribution of the slip spectrum corner wave numbers (kc) as a function of moment magnitude. To reduce the “epistemic” uncertainty, we select a single slip model per event and screen out poorly resolved models. The number of remaining models (30) is thus rather small. In addition, the robustness of the empirical model rests on a reliable estimation of kc by kinematic inversion methods. We address this issue by performing tests on synthetic data with a frequency domain inversion method. These tests reveal that due to smoothing constraints used to stabilize the inversion process, kc tends to be underestimated. We then develop an alternative approach: (1) we establish a proportionality relationship between kc and the peak ground acceleration (PGA), using a k−2 kinematic source model, and (2) we analyze the PGA distribution, which is believed to be better constrained than slip images. These two methods reveal that kc follows a lognormal distribution, with similar standard deviations for both methods.Citation
Constraining the roughness degree of slip heterogeneity 2010, 115 (B5) Journal of Geophysical ResearchPublisher
American Geophysical Union (AGU)Journal
Journal of Geophysical ResearchAdditional Links
http://doi.wiley.com/10.1029/2009JB006747ae974a485f413a2113503eed53cd6c53
10.1029/2009JB006747