| 地应变震兆异常信息提取方法研究 |
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| 引用本文： | 王曰风,张秀萍,李海孝,王长江,段立新,张常慧.地应变震兆异常信息提取方法研究[J].地震地磁观测与研究,2004,25(1):35-40. |
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| 作者姓名： | 王曰风 张秀萍 李海孝 王长江 段立新 张常慧 |
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| 作者单位： | 中国河北 075400 怀来地震台;中国河北 075000 张家口地震中心台 |
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| 基金项目： | 河北省地震局2002年青年科学基金课题 |
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| 摘 要： | 分析了怀来台体积应变观测资料的特点，研究了体积应变观测资料的气压干扰、仪器漂移的剔除方法和预处理后的资料分析方法，在分析中发现，振幅因子和非潮汐应变速率在1996年以来，在首都圈地区中西部发生的中强地震前，均有大小不同、持续时间不等的异常，这些参数可作为怀来地震台今后地震分析和地震中短期预测的指标。
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| 关 键 词： | 体积应变 振幅因子 非潮汐应变速率 中短期预测 |
| 文章编号： | 1003-3246(2004)01-0035-06 |
| 修稿时间： | 2003年6月9日 |
Study on the extracting the information of the earthquake precursor abnormal about earth strain |
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| Wang Yuefeng,Zhang Xiuping,Li Haixiao,Wang Changjiang,Duan Lixin and Zhang Changhui Huailai Seismic Station,Hebei Province ,China Zhangjiakou central Seismic Station,Hebei Province ,China.Study on the extracting the information of the earthquake precursor abnormal about earth strain[J].Seismological and Geomagnetic Observation and Research,2004,25(1):35-40. |
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| Authors: | Wang Yuefeng Zhang Xiuping Li Haixiao Wang Changjiang Duan Lixin and Zhang Changhui Huailai Seismic Station Hebei Province China Zhangjiakou central Seismic Station Hebei Province China |
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| Institution: | Wang Yuefeng1),Zhang Xiuping1),Li Haixiao1),Wang Changjiang2),Duan Lixin1) and Zhang Changhui1) 1) Huailai Seismic Station,Hebei Province 075400,China 2) Zhangjiakou central Seismic Station,Hebei Province 075000,China |
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| Abstract: | The data of volume strain character is analyzed under Huailai station and researched the observation data of the atmospheric pressure disturbance about earth strain, instrument drift about reject method and data analysis method after pretreatment in the paper. It is found that amplitude factor and non-tide stain velocity possesses abnormal of magnitude and duration difference before the moderate strong earthquake occurred at around Beijing area since 1996. These parameters can be regarded an index for the earthquake analysis and mid-short term prediction in the future. |
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| Keywords: | volume strain amplitude factor non-tide strain velocity mid-short term prediction |
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