Earthquake cycles and physical modeling of the process leading up to a large earthquake

2004 ◽  
Vol 56 (8) ◽  
pp. 773-793 ◽  
Author(s):  
Mitiyasu Ohnaka
Keyword(s):  
Physical Modeling ◽  
Large Earthquake ◽  
Earthquake Cycles

Rate and State Seismicity Simulations for Large Earthquake Cycles in Western Taiwan

2020 ◽  
Author(s):  
Hung-Yu Wu ◽  
Kuo-Fong Ma ◽  
Bill Fry
Keyword(s):  
Stress State ◽  
Slip Rate ◽  
Large Earthquake ◽  
Initial Stresses ◽  
Fault System ◽  
Recurrence Time ◽  
Seismic Events ◽  
Earthquake Catalog ◽  
Initial Stress State ◽  
Earthquake Cycles

<p>The stress state variation during the fault rupturing is the key issue for the earthquake hazard. However, the modern seismic catalogs exist the huge gap of large earthquake recurrence records. To understand the occurrence, the probabilities and the dynamic processing of large earthquakes, we employed the multi-cycle earthquake simulator, RSQSim, to exam the fundamental aspects of seismicity distribution in spatial and time in western Taiwan. This 3D, boundary element software assembles the Rate and State Friction law (RSF) and initial stress state to simulate the earthquakes distributions in completely, complex seismogenic system. The heterogeneous initial stresses and recurrence seismic events would be estimated in the long sequences. In this research, we focus on the similarity comparison to the CWB earthquake catalog and Taiwan Earthquake Model (TEM) for the RSQSim simulations. Additionally, this information provides the near optimal nucleation locations and seismic events propagation at the stress evolution in Taiwan faulting systems. Through this process, we would like to examine the recurrence time of the significant earthquakes in western Taiwan. RSQsim results include the comprehensive large events in temporal series to understand the key discrepancy between models and simulators, which will bring the mutual input to TEM for update discussion on slip rate, stress accumulation, and fault system. These modifications provide the better understanding of faults slip and stress state evolution to support the fundamental aspects of earthquake cycles.</p>

scholarly journals Nowcasting Earthquakes in Sulawesi Island, Indonesia

2020 ◽  
Author(s):  
Sumanta Pasari ◽  
Andrean VH Simanjuntak ◽  
Yogendra Sharma
Keyword(s):  
Large Earthquake ◽  
Earthquake Hazard ◽  
Earthquake Hazards ◽  
Power Law Distribution ◽  
Probability Models ◽  
Current State ◽  
Natural Time ◽  
Earthquake Hazard Assessment ◽  
Assessment Techniques ◽  
Earthquake Cycles

Abstract Large devastating events such as earthquakes often display frequency-magnitude statistics that exhibit power-law distribution. In this study, we implement a new method of nowcasting (Rundle et al. 2016) to evaluate the current state of earthquake hazards in the seismic prone Sulawesi province, Indonesia. The nowcasting technique considers statistical behavior of small event counts, known as natural times, to infer the seismic progression of large earthquake cycles in a defined region. To develop natural time statistics in the Sulawesi Island, we employ four probability models, namely exponential, exponentiated exponential, gamma, and Weibull distribution. Statistical inference of natural times reveals that (i) exponential distribution has the best representation to the observed data; (ii) estimated nowcast scores (%) corresponding to M≥6.5 events for 21 cities are Bau-bau (41), Bitung (70), Bone (44), Buton (39), Donggala (63), Gorontalo (49), Kendari (27), Kolaka (30), Luwuk (56), Makassar (52), Mamuju (58), Manado (70), Morowali (37), Palopo (34), Palu (62), Pare-pare (82), Polewali (61), Poso (42), Taliabu (55), Toli-toli (58), and Watampone (55); and (iii) the results are broadly consistent to the changes of magnitude threshold and area of local regions. Therefore, the present nowcasting analysis, similar to the traditional earthquake hazard assessment techniques, offers a simple yet versatile metric to the scientists, engineers and policymakers to examine the current state of earthquake hazards in the thickly populated Sulawesi Island.

Understanding of the Fluid Flow Mechanism in Porous Media of EOR by ASP Flooding from Physical Modeling

2007 ◽  
Author(s):  
Jialu Wang ◽  
Shiyi Yuan ◽  
Pingping Shen ◽  
Taixian Zhong ◽  
Xu Jia
Keyword(s):  
Porous Media ◽  
Fluid Flow ◽  
Physical Modeling ◽  
Flow Mechanism ◽  
Asp Flooding

Physical modeling and deformation simulation of flexible cable under the plane constraint

2017 ◽  
Vol 50 (4-6) ◽  
pp. 471-484
Author(s):  
Hongwang DU ◽  
Wei XIONG ◽  
Haitao WANG ◽  
Zuwen WANG
Keyword(s):  
Physical Modeling ◽  
Flexible Cable ◽  
Deformation Simulation
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