ACCELERATED SYNERGISM ALONG A FAULT: A POSSIBLE INDICATOR FOR AN IMPENDING MAJOR EARTHQUAKE
https://doi.org/10.5800/GT-2014-5-2-0134
Abstract
It is generally accepted that crustal earthquakes are caused by sudden displacement along faults, which rely on two primary conditions. One is that the fault has a high degree of synergism, so that once the stress threshold is reached, fault segments can be connected rapidly to facilitate fast slip of longer fault sections. The other is sufficient strain accumulated at some portions of the fault which can overcome resistance to slip of the high-strength portions of the fault. Investigations to such processes would help explore how to detect short-term and impending precursors prior to earthquakes. A simulation study on instability of a straight fault is conducted in the laboratory. From curves of stress variations, the stress state of the specimen is recognized and the meta-instability stage is identified. By comparison of the observational information from the press machine and physical parameters of the fields on the sample, this work reveals differences of temporal-spatial evolution processes of fault stress in the stages of stress deviating from linearity and meta-instability. The results show that due to interaction between distinct portions of the fault, their independent activities turn gradually into a synergetic activity, and the degree of such synergism is an indicator for the stress state of the fault. This synergetic process of fault activity includes three stages: generation, expansion and increase amount of strain release patches, and connection between them.. The first stage begins when the stress curve deviates from linearity, different strain variations occur at every portions of the fault, resulting in isolated areas of stress release and strain accumulation. The second stage is associated with quasi-static instability of the early meta-instability when isolated strain release areas of the fault increase and stable expansion proceeds. And the third stage corresponds to the late meta-instability, i.e. quasi-dynamic instability as both the expansion of strain release areas and rise of strain level of strain accumulation areas are accelerated. The synergism is accelerated when the quasi-static expansion transforms into quasi-dynamic expansion, with interaction between fault segments as its mechanism. The essence of such transformation is that the expansion mechanism has changed, i.e. expansion of isolated fault segments is replaced by linkage of the interacting segments when the fault enters the critical state of a potential earthquake. Based on the experimental results, coupled with data on the temporal-spatial evolution of earthquakes along the Laohushan-Maomaoshan fault, west of the Haiyuan fault zone in northwestern China, the synergism process of this fault before the 6 June 2000 M6.2 earthquake is analyzed.
About the Authors
Ma JinChina
academician of Chinese Academy of Sciences, Geologist and Tectonophysicist State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration
Beijing 100029, China
Guo Yanshuang
China
National Key Laboratory for Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China
S. I. Sherman
Russian Federation
Academician of the Russian Academy of Natural Sciences,
Doctor of Geology and Mineralogy, Professor, Chief Researcher
Institute of the Earth’s Crust, Siberian Branch of RAS
128 Lermontov street, Irkutsk 664033, Russia
Tel.: (3952)428261
References
1. Bakun W.H., Lindh A.G., 1985. The Parkfield, California, earthquake prediction experiment. Science 229 (4714), 619-624. http://dx.doi.org/10.1126/science.229.4714.619.
2. Ben-Zion Y., Rice J.R., Dmowska R., 1993. Interaction of the San Andreas fault creeping segment with adjacent great rupture zones, and earthquake recurrence at Parkfield. Journal Geophysical Research 98 (B2), 2135-2144. http://dx.doi.org/ 10.1029/92JB02154.
3. Beroza G.C., Ide S., 2009. Deep tremors and slow quakes. Science 324 (5930), 1025-1026, http://dx.doi.org/10.1126/ science1171231.
4. Chen Y.T., 2009. Earthquake prediction: Retrospect and prospect. Science China: Earth Sciences 3912, 1633-1658 (in Chi¬nese).
5. Cicerone R.D., Ebel J.E., Britton J., 2009. A systematic compilation of earthquake precursors. Tectonophysics 476 (3-4), 371-396. http://dx.doi.org/10.1016Zj.tecto.2009.06.008.
6. Du Yijun, Ma Jin, Li Jianguo, 1989. Interaction and stability of en echelon cracks. Acta Geophysica Sinica 32 (1), 218-231 (in Chinese).
7. Ellsworth W.L., Beroza G.C., 1995. Seismic evidence for an earthquake nucleation phase. Science 268 (5212), 851-855. http://dx.doi.org/10.1126/science.268.5212.851.
8. Fedotov S.A., 1968. On seismic cycle, opportunities of quantitative seismic regionalization and long-term seismic forecast. In: Seismic zoning in the USSR. Nauka, Moscow, p. 121-150.
9. Gomberg J., Bodin P., Reasonberg P.A., 2003. Observing earthquakes triggered in the near field by dynamic deformations. Bulletin of the Seismological Society of America 93 (1), 118-138. http://dx.doi.org/10.1785/0120020075.
10. Jaeger J.C., Cook N.G.W., 1979. Fundamentals of Rock Mechanics, Third Edition. Chapman and Hall, London, 593 p.
11. Johnson B.F., 2009. Earthquake prediction: gone and back again. Earth 4, 30-33.
12. Jordan T.H., Yun-Tai Chen, Gasparini P. et al., 2011. Operational earthquake forecasting-state of knowledge and guidelines for utilization. Annals of Geophysics 54 (4), 315-391. http://dx.doi.org/10.4401/ag-5350.
13. Konca A.O., Avouac J.P., Sladen A., Meltzner A.J., Sieh K., Fang P., Li Z.H., Galetzka J., Genrich J., Chlieh M., Natawidjaja D.H., Bock Y., Fielding E.J., Ji C., Helmberger D.V., 2008. Partial rupture of a locked patch of the Sumatra megathrust during the 2007 earthquake sequence. Nature 456 (7222), 631-635. http://dx.doi.org/10.1038/nature07572.
14. Liu Yuanzheng, Ma Jin, Ma Wentao, 2014. The role of the Zipingpu reservoir in the generation of the Wenchuan earthquake. Earth Science Frontiers 21 (1), 150-160 (in Chinese).
15. Ma Jin, Sherman S.I., Guo Yan Shuang, 2012. Identification of meta-instable stress state based on experimental study of evo¬lution of the temperature field during stick-slip instability on a 5 bending fault. Science China: Earth Sciences 55 (6), 869-881. http://dx.doi.org/10.1007/s11430-012-4423-2.
16. Ma Shengli, Liu Liqiang, Ma Jin et al., 2003. Experimental study on nucleation process of stick-slip instability on homoge¬neous and non-homogeneous faults. Science China: Earth Sciences 46, 56-66. http://dx.doi.org/10.1360/03dz0005.
17. Ma Shengli, Ma Jin, Liu Liqiang, 2002. Experimental evidence for seismic nucleation phase. Chinese Science Bulletin 47 (9), 769-773. http://dx.doi.org/10.1360/02tb9174.
18. Matsumura S., 1997. Focal zone of a future Tokai earthquake inferred from the seismicity pattern around the plate interface. Tectonophysics 273 (3-4), 271-291. http://dx.doi.org/10.1016/S0040-1951(96)00277-6.
19. Mogi K., 1981. Earthquake prediction program in Japan. In: Simpson D.W., Richards P., eds. Earthquake prediction - An International Review. Maurice Ewing Monograph Series 4. American Geophysical Union, Washington DC, p. 635-666.
20. Nishenko S.P., 1991. Circum-Pacific seismic potential: 1989-1999. Pure and Applied Geophysics Topical Volumes. Aspects of Pacific Seismicity, p. 169-259. http://dx.doi.org/10.1007/978-3-0348-5639-3_2.
21. Noda H., Nakatani V., Hori T., 2013. Large nucleation before large earthquakes is sometimes skipped due to cascade-up - implications from a rate and state simulation of faults with hierarchical asperities. Journal of Geophysical Research: Solid Earth 118 (6), 2924-2952. http://dx.doi.org/10.1002/jgrb. 50211.
22. Ren Yaqiong, Liu Peixun, Ma Jin, Chen Shunyun, 2013. An experimental study on evolution of thermal field of en echelon fault during the meta-instability stage. Chinese Journal of Geophysics 56 (5), 612-622. http://dx.doi.org/10.1002/cjg2. 20057.
23. Schwartz D.P., Coppersmith K.J., 1984. Fault behavior and characteristic earthquakes - examples from Wasatch and San Andreas fault zones. Journal of Geophysical Research 89 (B7), 5681-5698. http://dx.doi.org/10.1029/JB089iB07p05681.
24. Science of Earthquake Prediction, 2007. Review Committee for Earthquake Prediction of Japan Seismological Society. Uni¬versity of Tokyo Press, Tokyo, 218 p. (in Japanese).
25. Shearer C.F., 1958. Southern San Andreas fault geometry and fault zone deformation: implications for earthquake prediction. National Earthquake Prediction Council Meeting, March, 1985. US Geol. Surv. Open-file. Rep. 85-507, USGS, Reston, Virginia, USA, p. 173-174.
26. Shimazaki K., Nakata T., 1980. Time-predictable recurrence model for large earthquakes. Geophysical Research Letters 7 (4), 279-282. http://dx.doi.org/10.1029/GL007i004p00279.
27. Stein R.S., 1999. The role of stress transfer in earthquake occurrence. Nature 402 (6762), 605-609. http://dx.doi.org/10.1038/ 45144.
28. Sykes L.R., 1971. Aftershock zones of great earthquakes, seismicity gaps and prediction // Journal of Geophysical Research 76 (32), 8021-8041. http://dx.doi.org/10.1029/JB076i032p08021.
29. The Haiyuan fault zone, 1990. State Seismological Bureau, Ningxia Seismological Bureau. Seismological Press, Beijing (in Chinese).
30. West M., Sa'nchez J.J., McNutt S.R., 2005. Periodically triggered seismicity at Mount Wrangell, Alaska after the Sumatra earthquake. Science 308 (5725), 1144-1146. http://dx.doi.org/10.1126/science.1112462.
31. Wyss M., 1991. Evaluation of Proposed Earthquake Precursors. Eos, Transactions American Geophysical Union 72 (38), 411. http://dx.doi.org/10.1029/90EO10300.
32. Wyss M., 1997. Second round of evaluations of proposed earthquake precursors. Pure and Applied Geophysics 149 (1), 3-16. http://dx.doi.org/10.1007/BF00945158.
33. Zhang Guomin, 2013. Selected Research Papers on Earthquake Prediction. Seismological Press, Beijing (in Chinese).
34. Zhang Peizhen, Min Wei, Deng Qidong, Mao Fengying, 2005. Paleoearthquake rupture behavior and recurrence of great earthquakes along the Haiyuan fault, northwestern China. Science China Series D 48 (3), 364-375. http://dx.doi.org/ 10.1360/02yd0464.
35. Zhuo Y.Q., Guo Y.S., Ji Y.T. et al., 2013. Slip synergism of planar strike-slip fault during meta-instable state: Experimental research based on digital image correlation analysis. Science China: Earth Sciences 56 (11), 1881-1887. http://dx.doi. org/10.1007/s11430-013-4623-4.
Review
For citations:
Jin M., Yanshuang G., Sherman S.I. ACCELERATED SYNERGISM ALONG A FAULT: A POSSIBLE INDICATOR FOR AN IMPENDING MAJOR EARTHQUAKE. Geodynamics & Tectonophysics. 2014;5(2):387–399. (In Russ.) https://doi.org/10.5800/GT-2014-5-2-0134