首页|期刊导航|中国地震研究（英文版）|Research on the Application of Time Structure Variation Analysis to the Jiashi-Bachu Earthquake Swarm Sequence
中国地震研究（英文版）2008，Vol.22Issue(3)：251-264,14.
Research on the Application of Time Structure Variation Analysis to the Jiashi-Bachu Earthquake Swarm Sequence
Research on the Application of Time Structure Variation Analysis to the Jiashi-Bachu Earthquake Swarm Sequence
摘要
Abstract
In 1997～2003, 27 earthquakes with M≥5.0 occurred in the Jiashi-Bachu area of Xinjiang. It was a rare strong earthquake swarm activity. The earthquake swarm has three time segments of activity with different magnitudes in the years 1997, 1998 and 2003. In different time segments, the seismic activity showed strengthening-quiet changes in various degrees before earthquakes with M≥5.0. In order to delimitate effectively the precursory meaning of the clustering (strengthening) quiet change in sequence and to seek the time criterion for impending prediction, the nonlinear characteristics of seismic activity have been used to analyze the time structure characteristics of the earthquake swarm sequence, and further to forecast the development tendency of earthquake sequences in the future. Using the sequence catalogue recorded by the Kashi Station, and taking the earthquakes with M<,s>≥5.0 in the sequence as the starting point and the next earthquake with M<,s>=5.0 as the end, statistical analysis has been performed on the time structure relations of the earthquake sequence in different stages. The main results are as follows: (1) Before the major earthquakes with M≥5.0 in the swarm sequence, the time variation coefficient (δ-value) has abnormal demonstrations to different degrees. (2) Within 10 days after δ≈1, occurrence of earthquakes with M≥5.0 in the swarm is very possible. (3) The time variation coefficient has three types of change. (4) The change process before earthquakes with M5.0 is similar to that before earthquakes with M6.0, with little difference in the threshold value. In the earthquake swarm sequence, it is difficult to delimitate accurately the attribute of the current sequences (foreshock or aftershnck sequence) and to judge the magnitude of the follow-up earthquake by δ-value. We can only make the judgment that earthquakes with M5.0 are likely to occur in the sequence. (5) The critical clustering characteristics of the sequence are hierarchical. Only corresponding to a certain magnitude can the sequence have the variation state of critical clustering. (6) The coefficient of the time variation has a clear meaning in physics. After the clustering-quiet state of earthquake activity has appeared, it can describe clearly the randomness of the seismogenic system. Furthermore, it can efficiently clarify whether or not the clustering quiescence variation is of some prognostic meaning. In the case that the earthquake frequency attenuation is essentially normal (h>1) and there is no remarkable clustering-quiescence state, it is still possible to discover the abnormal change of the sequence from the time variation coefficient. On the contrary, in the later period of swarm activity, after the appearance of many seismic quiescence phenomena, this coefficient did not appear abnormally, even when h < 1, suggesting that the δ-value diagnosis is more universal.关键词
Time variation coefficient/Earthquake clustering/Randomness/Time structure of earthquake sequence/Jiashi earthquake swarmKey words
Time variation coefficient/Earthquake clustering/Randomness/Time structure of earthquake sequence/Jiashi earthquake swarm分类
天文与地球科学引用本文复制引用
Yang Xin,Long Haiying,Shangguan Wenming,Nie Xiaohong..Research on the Application of Time Structure Variation Analysis to the Jiashi-Bachu Earthquake Swarm Sequence[J].中国地震研究（英文版）,2008,22(3):251-264,14.基金项目
This research was a sub-project entitled "Strong EarthquakeTrend Assessment of the Jiashi-Bachu and the Tianshan, Xinjiang Areas (Grant No. 200333116-06)" under the projectof "The Ms6.8 Jiashi-Bachn, Xinjiang Earthquakes and the Strong Earthquake Trend in the Future" of the key science and technology research program of Xinjiang Uygur Autonomous Region. （Grant No. 200333116-06）
