| 震源区能量积累和释放过程的熵模型基本特征(英文) |
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| 作者姓名： | V. G. Sibgatulin S.A. Peretokin R.G. Khlebopros |
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| 作者单位： | [1]Environmental Center for Resources Conservation ,Krasnoyarsk 660049 ,Russia [2]International Research Center for Extreme States of Organisms, Krasnoyarsk 660049 ,Russia [3]State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing 100083, China |
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| 基金项目： | 俄罗斯自然资源部资助项目 |
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| 摘 要： | 在地震活动区的局部地壳地震活动性很大程度上是随机的,但在某些情况下,小的地方震的震级时间序列却具有确定性的分量,此分量很可能与一个大地震的成核有关。当小地震事件中最大的事件变小,最小的事件变大,并且它们的差别不断地减小,这个分量在地震记录上就表现为由震级的两个反向实时趋势产生的所谓能量楔。在一个大的成核事件的震源区,利用相图法,笔者依据非线性动力学已经解释了地震过程的演化和小震的大小分布。模拟地震过程的这种新的处理方法和数学模型已经被应用于来自世界各地区的大批地震目录数据,特别是中国的地震数据。
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| 关 键 词： | 熵模型 能量积累过程 地震预报 |
| 文章编号： | 1005-2321（2007）06-0222-05 |
| 收稿时间： | 2007-11-02 |
| 修稿时间： | 2007-11-10 |
FUNDAMENTAL PECULIARITIES OF THE ENTROPY MODEL OF ENERGY PROCESSES IN SEISMIC AREAS |
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| V. G. Sibgatulin S.A. Peretokin R.G. Khlebopros.FUNDAMENTAL PECULIARITIES OF THE ENTROPY MODEL OF ENERGY PROCESSES IN SEISMIC AREAS[J].Earth Science Frontiers,2007,14(6):222-226. |
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| Authors: | V G Sibgatulin S A Peretokin RG Khlebopros |
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| Abstract: | Local crustal seismicity in active seismic regions is largely stochastic, but the time series of magnitudes of small local events in some cases bear a deterministic component presumably associated with the nucleation of a large earthquake. This component appears in seismic records as the so-called energy wedge, produced by two opposite real-time trends of earthquake magnitudes as the largest of the small events become smaller and the smallest ones become larger, and their difference decreases. We have interpreted the evolution of the seismic process and the size distribution of small earthquakes in a source area of a nucleating large event in terms of non-linear dynamics using the phase portrait approach. The new processing method and a mathematical model simulating the seismic process have been applied to a large collection of data recorded in earthquake catalogs from a number of seismic regions worldwide. |
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| Keywords: | entropy model energy processes earthquake prediction |
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