Study on Simulation of Foreshock Activity Properties before Strong Earthquake Using Heterogeneous Cellular Automata Models
ABSTRACT
Three different degrees of heterogeneous fault models are simulated by using 2-D random dynamic cellular automata models for analyzing macroscopic behaviors of seismic activity evolution influenced by heterogeneity of fault structures. The results show that the heterogeneities of fault structures can influence evolution properties of the foreshock activity and rupture process, such as the mediate heterogeneous and less heterogeneous structures, which show relatively higher ASR rates and more significant seismic gaps before main shocks. Besides, stress drop distribution ranges of the foreshock events when approaching a main shock show more homogenous (narrower) than that of the foreshock events far from a main shock. So the heterogeneity of fault structures plays an important role in strong earthquake preparation processes.
Cite this paper
Li, M. , Yang, F. and Zhang, T. (2014) Study on Simulation of Foreshock Activity Properties before Strong Earthquake Using Heterogeneous Cellular Automata Models. International Journal of Geosciences, 5, 274-285. doi: 10.4236/ijg.2014.53028.
Li, M. , Yang, F. and Zhang, T. (2014) Study on Simulation of Foreshock Activity Properties before Strong Earthquake Using Heterogeneous Cellular Automata Models. International Journal of Geosciences, 5, 274-285. doi: 10.4236/ijg.2014.53028.
References
[1] Mogi, K. (1963) Some Discussion on Aftershock, Foreshock and Swarm. Bulletin of the Earthquake Research Institute, University of Tokyo, 41, 615-658. [2] Tang, C.A., Liu, H.Y., Qin, S.Q., et al. (2000) Influence of Heterogeneity on Crack Propagation Modes in Brittle Rock. Chinese Journal Geophysics (in Chinese), 43, 116-120. http://dx.doi.org/10.1002/cjg2.15 [3] Jiao, M.J., Tang, C.A. and Zang, G.M. (2003) Numerical Test of Influence of Mesoscopic Heterogeneity on Macroscopic Behavior of Rock Failure and Seismic Types. Chinese Journal Geophysics (in Chinese), 46, 659-666. [4] Main, I.G. (1995) Earthquake as Critical Phenomena: Implications for Probabilistic Seismic Hazard Analysis. Bulletin of the Seismological Society of America, 85, 1299-1308. [5] Ben-Zion, Y., Eveva, M. and Liu, Y.F. (2003) Large Earthquake Cycles and Intermittent Criticality on Heterogeneous Faults Due to Evolving Stress and Seismicity. Journal of Geophysical Research, 108.
http://dx.doi.org/10.1029/2002JB002121 [6] Sornette, D. and Sammis, C.G. (1995) Critical Exponents from Renormalization Group Theory of Earthquakes: Implication for Earthquake Prediction. Journal de Physique I, 5, 607-619. http://dx.doi.org/10.1051/jp1:1995154 [7] Jaume, S.C. and Sykes, L.R. (1999) Evolving towards a Critical Point: A Review of Accelerating Seismic Moment/ Energy Release Prior to Large and Great Earthquake. Pure and Applied Geophysics, 155, 279-306.
http://dx.doi.org/10.1007/s000240050266 [8] Wang, L.Y., Chen, P.Y., Wu, Z.L., et al. (2005) Characteristics of Foreshock and Its Identification. Acta Seismologica Sinica (in Chinese), 27, 171-177. [9] Luo, Z.L., Wang, W.J. and Chen, L. (2000) The Time-Frame Coefficient Method to Diagnose Nonlinear Characteristics of Earthquake Sequences in Haicheng-Xiuyan Region, Liaoning Province. Earthquake (in Chinese), 20, 18-27. [10] Steacy, S.J. and Mc Closkey, J. (1998) What Controls an Earthquakes Size?—Results from a Heterogeneous Celluar Automaton. Geophysical Journal International, 133, f11-f14. http://dx.doi.org/10.1046/j.1365-246X.1998.1331548.x [11] Liu, J., Liu, G.P., Li, L., et al. (1999) Simplified Dynamic Model Based on the Characteristics of Continental Seismicity—Cell Automat Model. Earthquake (in Chinese), 19, 230-238. [12] Liu, G.P., Fu, Z.X. and Liu, J. (2000) A Friction Time-Dependent Cellular Automaton Model of Seismicity. Chinese Journal Geophysics (in Chinese), 43, 204-211. http://dx.doi.org/10.1002/cjg2.30 [13] Liu, G.P. and Fu, Z.X. (2001) Application of the Friction Time-Dependent Cellular Automaton Model of Seismicity to the Study of Heterogeneity of Intensity Distribution of Earthquake. Earthquake (in Chinese), 21, 22-28. [14] Li, G., Liu, J., Fu, Z.X., et al. (2004) Simulation of Temporal Evolution of Seismicity before Earthquakes Using Cellular Automaton Model. Earthquake (in Chinese), 24, 34-41. [15] Zhu, S.B., Cai, Y.E., Liu, J., et al. (2006) Modeling Seimicity by 3-D Cellular Automaton. Acta Scientiarum Naturalium Universitatis Pekinensis (in Chinese), 42, 206-210. [16] Hillers, G., Ben-Zion, Y. and Mai, P.M. (2006) Seismicity on a Fault Controlled by Rate- and State-Dependent Friction with Spatial Variations of the Critical Slip Distance. Journal of Geophysical Research, 111, Article ID: E01403. [17] Hillers, G., Mai, P.M., Ben-Zion, Y. andAmpuero, J.P. (2007) Statistical Properties of Seismicity of Fault Zones at Different Evolutionary Stages. Geophysical Journal International, 169, 515-533.
http://dx.doi.org/10.1111/j.1365-246X.2006.03275.x [18] Hillers, G., Carlson, J.M. and Archuleta, R.J. (2009) Seismicity in a Model Governed by Competing Frictional Weakening and Healing Mechanisms. Geophysical Journal International, 178, 1363-1383.
http://dx.doi.org/10.1111/j.1365-246X.2009.04217.x [19] Li, M. and Yang, F. (2010) Correlation Fractal Dimension Descriptions on Geometry and Structure Heterogeneity of the Theoretical Model. Inland Earthquake (in Chinese), 24, 193-198. [20] Li, M. and Yang, F. (2011) Simulation of Impacts of Fault Structure Heterogeneity on Properties of Seismicity Using Cellular Automata Model. Acta Seismologica Sinica (in Chinese), 33, 672-682. [21] Li, P.E. and Yin, Y.Q. (2009) A Simply Model for Earthquake Instability. Earthquake Research in China (in Chinese), 25, 265-273. [22] Castellaro, S. and Mulargia, F. (2002) What Criticality in Cellular Automata Models of Earthquakes. Geophysical Journal International, 150, 483-493. http://dx.doi.org/10.1046/j.1365-246X.2002.01709.x [23] Zhou, S., Johnston, S., Robinson, R. and Vere-Jones, D. (2006) Tests of the Precursory Accelerating Moment Release Model Using a Synthetic Seismicity Model for Wellington, New Zealand. Journal of Geophysical Research, 111.
http://dx.doi.org/10.1029/2005JB003720 [24] Robinson, R., Zhou, S., Johnston, S. and Ver-Jones, D. (2005) Precursory Accelerating Moment Release (AMR) in a Synthetic Seismicity Catalog: A Preliminary Study. Geophysical Research Letters, 32, Article ID: L07309. [25] Dysart, P.S., Snoke, J.A. and Sacks, I.S. (1988) Source Parameters and Scaling Relations for Small Earthquakes in Matsushiro Region, Southwest Honshu, Japan. Bulletin of the Seismological Society of America, 78, 571-589. [26] Ben-David, O., Cohen, G. and Fineberg, J. (2010) The Dynamics of the Onset of Frictional Slip. Science, 330, 211-214.
http://dx.doi.org/10.1126/science.1194777
[1] Mogi, K. (1963) Some Discussion on Aftershock, Foreshock and Swarm. Bulletin of the Earthquake Research Institute, University of Tokyo, 41, 615-658. [2] Tang, C.A., Liu, H.Y., Qin, S.Q., et al. (2000) Influence of Heterogeneity on Crack Propagation Modes in Brittle Rock. Chinese Journal Geophysics (in Chinese), 43, 116-120. http://dx.doi.org/10.1002/cjg2.15 [3] Jiao, M.J., Tang, C.A. and Zang, G.M. (2003) Numerical Test of Influence of Mesoscopic Heterogeneity on Macroscopic Behavior of Rock Failure and Seismic Types. Chinese Journal Geophysics (in Chinese), 46, 659-666. [4] Main, I.G. (1995) Earthquake as Critical Phenomena: Implications for Probabilistic Seismic Hazard Analysis. Bulletin of the Seismological Society of America, 85, 1299-1308. [5] Ben-Zion, Y., Eveva, M. and Liu, Y.F. (2003) Large Earthquake Cycles and Intermittent Criticality on Heterogeneous Faults Due to Evolving Stress and Seismicity. Journal of Geophysical Research, 108.
http://dx.doi.org/10.1029/2002JB002121 [6] Sornette, D. and Sammis, C.G. (1995) Critical Exponents from Renormalization Group Theory of Earthquakes: Implication for Earthquake Prediction. Journal de Physique I, 5, 607-619. http://dx.doi.org/10.1051/jp1:1995154 [7] Jaume, S.C. and Sykes, L.R. (1999) Evolving towards a Critical Point: A Review of Accelerating Seismic Moment/ Energy Release Prior to Large and Great Earthquake. Pure and Applied Geophysics, 155, 279-306.
http://dx.doi.org/10.1007/s000240050266 [8] Wang, L.Y., Chen, P.Y., Wu, Z.L., et al. (2005) Characteristics of Foreshock and Its Identification. Acta Seismologica Sinica (in Chinese), 27, 171-177. [9] Luo, Z.L., Wang, W.J. and Chen, L. (2000) The Time-Frame Coefficient Method to Diagnose Nonlinear Characteristics of Earthquake Sequences in Haicheng-Xiuyan Region, Liaoning Province. Earthquake (in Chinese), 20, 18-27. [10] Steacy, S.J. and Mc Closkey, J. (1998) What Controls an Earthquakes Size?—Results from a Heterogeneous Celluar Automaton. Geophysical Journal International, 133, f11-f14. http://dx.doi.org/10.1046/j.1365-246X.1998.1331548.x [11] Liu, J., Liu, G.P., Li, L., et al. (1999) Simplified Dynamic Model Based on the Characteristics of Continental Seismicity—Cell Automat Model. Earthquake (in Chinese), 19, 230-238. [12] Liu, G.P., Fu, Z.X. and Liu, J. (2000) A Friction Time-Dependent Cellular Automaton Model of Seismicity. Chinese Journal Geophysics (in Chinese), 43, 204-211. http://dx.doi.org/10.1002/cjg2.30 [13] Liu, G.P. and Fu, Z.X. (2001) Application of the Friction Time-Dependent Cellular Automaton Model of Seismicity to the Study of Heterogeneity of Intensity Distribution of Earthquake. Earthquake (in Chinese), 21, 22-28. [14] Li, G., Liu, J., Fu, Z.X., et al. (2004) Simulation of Temporal Evolution of Seismicity before Earthquakes Using Cellular Automaton Model. Earthquake (in Chinese), 24, 34-41. [15] Zhu, S.B., Cai, Y.E., Liu, J., et al. (2006) Modeling Seimicity by 3-D Cellular Automaton. Acta Scientiarum Naturalium Universitatis Pekinensis (in Chinese), 42, 206-210. [16] Hillers, G., Ben-Zion, Y. and Mai, P.M. (2006) Seismicity on a Fault Controlled by Rate- and State-Dependent Friction with Spatial Variations of the Critical Slip Distance. Journal of Geophysical Research, 111, Article ID: E01403. [17] Hillers, G., Mai, P.M., Ben-Zion, Y. andAmpuero, J.P. (2007) Statistical Properties of Seismicity of Fault Zones at Different Evolutionary Stages. Geophysical Journal International, 169, 515-533.
http://dx.doi.org/10.1111/j.1365-246X.2006.03275.x [18] Hillers, G., Carlson, J.M. and Archuleta, R.J. (2009) Seismicity in a Model Governed by Competing Frictional Weakening and Healing Mechanisms. Geophysical Journal International, 178, 1363-1383.
http://dx.doi.org/10.1111/j.1365-246X.2009.04217.x [19] Li, M. and Yang, F. (2010) Correlation Fractal Dimension Descriptions on Geometry and Structure Heterogeneity of the Theoretical Model. Inland Earthquake (in Chinese), 24, 193-198. [20] Li, M. and Yang, F. (2011) Simulation of Impacts of Fault Structure Heterogeneity on Properties of Seismicity Using Cellular Automata Model. Acta Seismologica Sinica (in Chinese), 33, 672-682. [21] Li, P.E. and Yin, Y.Q. (2009) A Simply Model for Earthquake Instability. Earthquake Research in China (in Chinese), 25, 265-273. [22] Castellaro, S. and Mulargia, F. (2002) What Criticality in Cellular Automata Models of Earthquakes. Geophysical Journal International, 150, 483-493. http://dx.doi.org/10.1046/j.1365-246X.2002.01709.x [23] Zhou, S., Johnston, S., Robinson, R. and Vere-Jones, D. (2006) Tests of the Precursory Accelerating Moment Release Model Using a Synthetic Seismicity Model for Wellington, New Zealand. Journal of Geophysical Research, 111.
http://dx.doi.org/10.1029/2005JB003720 [24] Robinson, R., Zhou, S., Johnston, S. and Ver-Jones, D. (2005) Precursory Accelerating Moment Release (AMR) in a Synthetic Seismicity Catalog: A Preliminary Study. Geophysical Research Letters, 32, Article ID: L07309. [25] Dysart, P.S., Snoke, J.A. and Sacks, I.S. (1988) Source Parameters and Scaling Relations for Small Earthquakes in Matsushiro Region, Southwest Honshu, Japan. Bulletin of the Seismological Society of America, 78, 571-589. [26] Ben-David, O., Cohen, G. and Fineberg, J. (2010) The Dynamics of the Onset of Frictional Slip. Science, 330, 211-214.
http://dx.doi.org/10.1126/science.1194777