| 高阶统计量方法识别聊古一井气氡浓度异常 |
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| 引用本文： | 李希亮,刘希强,李霞,陈其锋,董晓娜.高阶统计量方法识别聊古一井气氡浓度异常[J].高原地震,2014(2):23-26. |
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| 作者姓名： | 李希亮 刘希强 李霞 陈其锋 董晓娜 |
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| 作者单位： | [1] 山东省地震局,山东济南250014 [2] 山东聊城地震水化试验站,山东聊城252000 |
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| 基金项目： | 山东省地震局科研基金项目（JJ1406Y）资助. |
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| 摘 要： | 运用CUM-AIC方法分析了聊古一井气氡浓度观测资料,发现2006年4月9日山东莘县与河南濮阳交界的濮阳ML4.6级地震前气氡浓度有异常变化,异常持续时间达10天,计算结果中的转折点对应着异常的起止时间。CUM-AIC方法优于传统的一阶、二阶统计量分析方法。
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| 关 键 词： | 高阶统计量 气氡浓度 CUM-AIC方法 短临异常 |
IDENTIFICATION OF ABNORMAL GAS RADON CONCENTRATION IN LIAOGU-1 WELL BASED ON HIGHER-ORDER STATISTICS METHOD |
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| LI Xiliang,LIU Xiqiang,LI Xia,CHEN Qifeng,DONG Xiaona.IDENTIFICATION OF ABNORMAL GAS RADON CONCENTRATION IN LIAOGU-1 WELL BASED ON HIGHER-ORDER STATISTICS METHOD[J].Plateau Earthquake Research,2014(2):23-26. |
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| Authors: | LI Xiliang LIU Xiqiang LI Xia CHEN Qifeng DONG Xiaona |
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| Institution: | 1. Earthquake Administration of Shandong Province ,Jinan 250014, China; 2. Liaocheng Seismic Water Chemistry Station, Shandong Province, Liaocheng 252000, China) |
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| Abstract: | The gas radon observation data are analyzed by CUM-AIC method, and gas radon anomaly was foundbefore the ML4.6 earthquake in the boundary region of Puyang and Shenxian counties on April 9th, 2006, theabnormal lasted 10 days, the turning point in the calculation corresponded to the beginning and ending time ofabnormal. The CUM-AIC method is superior to the traditional first-order, second-order statistics analysis methods. |
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| Keywords: | Higher-order statistics Gas radon concentration Puyang ML4 6 earthquake CUM-AIC method Short-impending anomaly |
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