| 地震的多重分形统计特征研究 |
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| 引用本文： | 汪秉宏.地震的多重分形统计特征研究[J].地球科学进展,1997,12(6):535-540. |
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| 作者姓名： | 汪秉宏 |
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| 作者单位： | 中国科学技术大学近代物理系，安徽省地震局 |
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| 摘 要： | 讨论了地震分布的多重分形统计特征。研究地震多重分形性质的计算方法及其应用于地震预报的可能性。采用推广Ｇｒａｓｓｂｅｒｇｅｒ－Ｐｒｏｃａｃｃｉａ算法从典型震区的地震数据计算地震多重分形分布的广义维数谱以确立较敏感的强震前兆，讨论了该算法的精度，数据量要求及适用范围。
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| 关 键 词： | 地震 多重分析 统计特征 地震预报 |
RESEARCH ON EARTHQUAKE MULTI FRACTAL STATISTICAL CHARACTERISTICS |
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| WANG,Binghong.RESEARCH ON EARTHQUAKE MULTI FRACTAL STATISTICAL CHARACTERISTICS[J].Advance in Earth Sciences,1997,12(6):535-540. |
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| Authors: | WANG Binghong |
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| Institution: | 1.Department of Modern Physics,University of Science and Technology of China,Hefei 230026；;
2.Seismological Bureau of Anhui Province,Hefei 230031 |
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| Abstract: | In this paper,the multi fractal statistical characteristics of earthquake distribution are summarized.The calculation method of earthquake multi fractal features are presented and the possibility of its application in earthquake prediction research is studied.The fixed radius algorithum,the fixed mass algorithum,and the generalized Grassberger Procaccia algorithum are used to calculate generalized dimension spectrum of earthquake spatial distribution multi fractal from the seismological record data in typical earthquake region in order to catch out the sensitive sighs of strong earthquake occourance.The above three methods are compared to each other for calculation precission,the demand of data amount,and the adaptable area.The extended G P algorithum is first applied and tested in calculation of the spectra D q of some theoretical models ,e.g.Henon map,random distribution.The effects of the quantity of the data sample and the scaling region determination on the calculation results are analyzed.It is concluded that the scaling radius should be less than 1/4 of the diameter of the considered fractal object in order to avoid boundary effect.The D q～t curves observed from the Eastern China,especially the variations of D q (q<0),show clearly feature of dimensioin reducing before the occurrence of strong earthquakes These results demonstrate that the intermediate term symptoms of the approach of a strong earthquake in some regions can be singled out from the multi fractal dimension spectrum of earthquake distribution. |
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| Keywords: | Statistical characteristics of earthquake Multi fractal dimension spectrum Grassberger Procaccia algorithum(G P) The intermediate term symptom of the strong earthquake approach |
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