| 新疆分量式钻孔应变阶变异常的统计特征及其在地震预测中的应用研究 |
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| 引用本文： | 蒋靖祥,尹光华,王在华,王新刚,唐小勇.新疆分量式钻孔应变阶变异常的统计特征及其在地震预测中的应用研究[J].岩石力学与工程学报,2004,23(23):4072-4078. |
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| 作者姓名： | 蒋靖祥 尹光华 王在华 王新刚 唐小勇 |
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| 作者单位： | 新疆维吾尔自治区地震局,乌鲁木齐,830011 |
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| 基金项目： | 中国地震局三结合课题(200323)，地震科学联合基金(104003)，新震基金(200307)资助课题。 |
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| 摘 要： | 新疆分量式钻孔应变异常类型有多种，阶变型异常是其中重要的异常类型之一．系统地研究了新疆地区分量式钻孔应变阶变型异常的统计特征及其和地震的关系．结果表明，阶变型异常以短临异常为主，异常持续时间小于90d的占97％，异常出现后3个月内发生地震的占55％；应变阶变异常量级范围为10^-6～10^-1;应变性质以塑性为主，占77％；映震效果较好，映震率为85％。
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| 关 键 词： | 地震 分量式钻孔应变 阶变异常 地震预报 |
| 文章编号： | 1000-6915(2004)23-4072-07 |
| 收稿时间： | 2004-4-1 |
| 修稿时间： | 2004-7-21 |
STATISTICAL CHARACTER OF STEPING CHANGE ANOMALITY OF COMPONENT-TYPE BOREHOLE STRAIN AND ITS APPLICATION TO EARTHQUAKE PREDICTION IN XINJIANG |
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| Jiang Jingxiang,Yin Guanghua,Wang Zaihua,Wang Xingang,Tang Xiaoyong.STATISTICAL CHARACTER OF STEPING CHANGE ANOMALITY OF COMPONENT-TYPE BOREHOLE STRAIN AND ITS APPLICATION TO EARTHQUAKE PREDICTION IN XINJIANG[J].Chinese Journal of Rock Mechanics and Engineering,2004,23(23):4072-4078. |
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| Authors: | Jiang Jingxiang Yin Guanghua Wang Zaihua Wang Xingang Tang Xiaoyong |
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| Abstract: | There are five abnormity types of component-type borehole strain in Xinjiang,among which the more important is the stepping change type. The relation is systematically studied between the statistical character of anormality of steping change and the earthquake in Xinjiang. It is shown that the anomality of steping change is of short-impending priority. The abnormality with duration less than 90 days is more than 97% of the recorded data. After three months of anomality appearance,the possibility for earthqake to occur is 55%. The magnitude of strain steping change is between 10-6 and 10-4,which consists of elastic deformation and plastic one,and plastic deformation is the main deformation taking 77% of the recorded steping change anormality. The mirror effect of steping change anormality on earthquake is quite good with mirror effect rate of 85%. |
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| Keywords: | earthquake component-type borehole strain steping change anomality earthquake prediction |
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