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    Constraining the roughness degree of slip heterogeneity

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    Type
    Article
    Authors
    Causse, Mathieu
    Cotton, Fabrice
    Mai, Paul Martin cc
    KAUST Department
    Earth Science and Engineering Program
    Physical Sciences and Engineering (PSE) Division
    Date
    2010-05-07
    Permanent link to this record
    http://hdl.handle.net/10754/552179
    
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    Abstract
    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 Research
    Publisher
    American Geophysical Union (AGU)
    Journal
    Journal of Geophysical Research
    DOI
    10.1029/2009JB006747
    Additional Links
    http://doi.wiley.com/10.1029/2009JB006747
    ae974a485f413a2113503eed53cd6c53
    10.1029/2009JB006747
    Scopus Count
    Collections
    Articles; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

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