Sensitivity study of forecasted aftershock seismicity based on Coulomb stress calculation and rate- and state-dependent frictional response

被引:65
作者
Cocco, M. [1 ]
Hainzl, S. [2 ]
Catalli, F. [1 ]
Enescu, B. [2 ,3 ]
Lombardi, A. M. [1 ]
Woessner, J. [4 ]
机构
[1] INGV Rome, Ist Nazl Geofis & Vulcanol, Sez Seismol & Tettonofis, I-00143 Rome, Italy
[2] GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, D-14473 Potsdam, Germany
[3] Natl Res Inst Earth Sci & Disaster Prevent, Tsukuba, Ibaraki, Japan
[4] Swiss Fed Inst Technol, Swiss Seismol Serv, CH-8092 Zurich, Switzerland
关键词
EARTHQUAKE OCCURRENCES; FAULT INTERACTION; M-W; MODELS; PRESSURE; SEQUENCE; FAILURE; LANDERS; JAPAN; LAW;
D O I
10.1029/2009JB006838
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
We use the Dieterich (1994) physics-based approach to simulate the spatiotemporal evolution of seismicity caused by stress changes applied to an infinite population of nucleating patches modeled through a rate-and state-dependent friction law. According to this model, seismicity rate changes depend on the amplitude of stress perturbation, the physical constitutive properties of faults (represented by the parameter A sigma), the stressing rate, and the background seismicity rate of the study area. In order to apply this model in a predictive manner, we need to understand the impact of physical model parameters and the correlations between them. First, we discuss different definitions of the reference seismicity rate and show their impact on the computed rate of earthquake production for the 1992 Landers earthquake sequence as a case study. Furthermore, we demonstrate that all model parameters are strongly correlated for physical and statistical reasons. We discuss this correlation, emphasizing that the estimations of the background seismicity rate, stressing rate, and A sigma are strongly correlated to reproduce the observed aftershock productivity. Our analytically derived relation demonstrates the impact of these model parameters on the Omori-like aftershock decay: the c value and the productivity of the Omori law, implying a p value smaller than or equal to 1. Finally, we discuss an optimal strategy to constrain model parameters for near-real-time forecasts.
引用
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页数:15
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