共查询到18条相似文献,搜索用时 156 毫秒
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本文对《中国震例》系列书籍及期刊所记录的华北地区存在震前跨断层形变异常的震例进行了综述, 分析了华北地区不同区域跨断层前兆异常特征。 首都圈地区3次6级以上地震之前1~3年, 围绕震中会出现10~30项跨断层形变异常, 其中超过8成异常场地位于距震中100 km范围以外, 有7~8成的异常测项表现为趋势的加速或转折变化, 异常幅度集中在1~3 mm, 在异常发展过程中或者在加速达到峰值后恢复过程中发震。 随着震级的降低, 近场跨断层异常增加, 对于5~6级左右地震, 无论远场近场均会出现2~8项水准异常, 而5级以下地震前跨断层形变异常只有1~2项且主要分布在近场。 相似文献
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针对青藏块体东北缘跨断层监测区及周边发生的5.8级以上地震, 结合以往研究结果, 对跨断层资料进行了重新梳理, 重点分析了1995年永登5.8级、 2000年景泰5.9级、 2003年民乐—山丹6.1级和2013年岷县漳县6.6级地震前出现的跨断层形变异常。 结果表明: 这4次典型地震前出现的跨断层异常数量较多, 为13~23项不等; 分布范围较广, 震中距在600 km范围内, 相对集中出现在300 km左右范围内, 也有近震区异常; 异常特征以逆断加速、 趋势转折、 活动加剧、 突跳、 大幅变化等为主; 震前2~3年或稍长时间开始出现异常, 震前半年至1年半时段异常集中出现, 具有中期背景或短期前兆意义, 异常空间分布有向震中区汇聚迁移的特征。 相似文献
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怀 4井为国家重点观测井,在多次地震前都有明显的异常出现,对监视北京西北地区的地震起着重要的作用。文中分析了 5次中强地震前怀 4井地下流体测项的异常情况。统计了自 1998年以来周围 300km范围内 4级以上地震前怀 4井流体测项的映震情况。认为怀 4井对其周围 260km范围内≥4 0级的地震反应比较灵敏。并归纳出怀 4井流体测项前兆异常的如下特征: 1)水汞前兆异常形态为突跳型,异常结束后发震; 2)断层气二氧化碳前兆异常形态为多点高值起伏型,异常转折下降中发震; 3)水氡前兆异常形态为阶变型,异常中发震; 4)氢气前兆异常形态为突跳型,异常结束后发震。通过本研究,有助于今后对怀 4井流体异常的识别,根据怀 4井各测项对地震孕育各阶段反映的差异,更容易判定未来地震的发震时刻 相似文献
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选取库尔勒台2008~2010年气氡观测资料,利用尺度为4的db4小波对其进行处理,并分别对其低频和高频短期异常进行研究。结果表明,该方法对不同频率的信息识别功能较强,有助于将数据的趋势变化和局部变化分离,能够有效地识别与消除干扰因素,提取短期异常,是地震前兆数据处理的一种有效方法。结合震例研究表明,台站周围200km范围内4级地震发生前3~5个月气氡出现异常。 相似文献
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应用了小波变换理论,对2005年林甸地震的前兆数据进行分析,研究在不同尺度下前兆数据的细节变化。结果表明,小波变换的多尺度分析方法将前兆数据分解成若干频段,容易识别和提取原始测值中不易分辨的震前异常,提高了识别前兆数据异常的能力。 相似文献
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前兆水位数据处理中的小波基及其参数选择方法研究 总被引:3,自引:0,他引:3
在分析不同小波基函数特征的基础上, 详细阐述了前兆水位数据处理中小波基及其参数的选择问题, 针对多个水位测项进行了实例分析和比较。 得到如下结论: ① 在检测前兆水位数据的突变点或不规则的突变部分, 选择db6、 bior2.6、 rbio2.6、 sym4和sym6小波基效果较好, 其中选用双正交小波bior2.6效果最佳; ② 在小波变换分解层数的选取方面: 第1~2层多适用于突变异常信号的获得, 第5~6层多适用于缓变异常信号的提取; 对于数据跳变异常显著的时间段, 第4~6层能较好地还原被高频信息掩盖的趋势变化过程。 相似文献
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用中国钻孔应变台网资料检验大震“前驱波” 总被引:2,自引:0,他引:2
利用中国钻孔应变台网的13个台站观测精度达10-10~10-8量级TJ式钻孔体应变仪观测资料,深入分析2004年12月23日澳大利亚麦阔里岛MS8.0和2004年12月26日印尼苏门答腊MS8.9大震前应变变化,对这两次地震“前驱波”进行了客观地检验。 用高通滤波消除了周期大于128 min的固体潮汐影响,用回归分析方法消除了气压干扰。 用小波变换方法将2~128 min信号分解到6个不同频段进行分析。 结果显示,该方法能提取出信号中微弱变化信息。 根据小波变换提取的类似“前驱波”基本特征,提出“超限率”分析方法检验小波分解的细节部分。 对所有细节部分的超限率时间序列的回归直线斜率进行统计,得出了平均值和标准差,分析了正负比。 这3项统计数据显示,大震前15 d之内不能普遍检测到“前驱波”。 相似文献
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EXPERIMENT STUDY ON ACOUSTIC EMISSION,MICROSEISM AND CHARGE INDUCTION DURING FRACTURE PROCESS OF GRANITE WITH FAULT ZONE UNDER UNIAXIAL COMPRESSION 下载免费PDF全文
As the rock samples will produce abnormal signals of acoustic emission, microseismic and charge signals under external loading, the waveform comprehensive monitoring devices are used to synchronously monitor acoustic emission, microseismic and charge signals during the deformation and failure process of granite with fault zone under uniaxial compression. The results show that, the granite with fault zone has obvious synchronous precursory signals of acoustic emission, microseism and charge induction in the elastic deformation stage, and has high amplitude synchronous precursory signals in the instability destruction stage. The influence of fault zone on granite samples strength is remarkable, and the uniaxial compressive strength of samples with the fault zone is greatly reduced. With the angle of the fault zone decreasing, the uniaxial compressive strength of the specimens is reduced, the samples are more liable to instability and the energy of instability destruction is greater. With the fault zone angle of granite samples decreasing, the acoustic emission, microseismic and charge induction signals increase in the deformation and failure process of samples. The samples stress decreases when the acoustic emission, microseismic and charge induction precursory signals appear synchronously. The duration of acoustic emission, microseismic and charge induction precursory signals is increasing in the instability destruction stage. When the angle of the fault zone reaches 30°, the mutability of acoustic emission, microseismic and charge induction signal increases, the time to enter the dangerous stage is much earlier, and the acoustic emission events of large magnitude increase significantly, and the large angle faults of coal mine are more dangerous. The intensive and high amplitude synchronous precursory signals of acoustic emission, microseism and charge induction are produced before the instability destruction, and the signals duration is shorter. The intensive and strongest synchronous precursory signals of acoustic emission, microseism and charge induction are produced in the instability destruction, and the signals duration is longer. Acoustic emission monitoring data can better reflect the micro rupture of rock. And combined with the acoustic emission, microseismic and charge induction precursory signals, the precursory information of rock instability destruction can be obtained more accurately. 相似文献
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Kiyoo Mogi 《Pure and Applied Geophysics》1984,122(6):765-780
The temporal variation in precursory ground tilt prior to the 1944 Tonankai (Japan) earthquake, which is a great thrust-type earthquake along the Nankai Trough, is discussed using the analysis of data from repeated surveys along short-distance leveling routes.Sato (1970) pointed out that an anomalous tilt occurred one day before the earthquake at Kakegawa near the northern end of the focal region of the earthquake. From the analysis of additional leveling data, Sato's result is re-examined and the temporal change in the ground tilt is deduced for the period of about ten days beginning six days before the earthquake. A remarkable precursory tilt started two or three days before the earthquake. The direction of the precursory tilt was up towards the south (uplift on the southern Nankai Trough side), but the coseismic tilt was up towards the southeast, perpendicular to the strike of the main thrust fault of the Tonankai earthquake. The postseismic tilt was probably opposite of the coseismic tilt. The preseismic tilt is attributed to precursory slip on part of the main fault. If similar precursory deformation occurs before a future earthquake expected to occur in the adjacent Tokai region, the deformation may help predict the time of the Tokai earthquake. 相似文献
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Analyses on normal background characteristics about deformation observation data on the basis of wavelet transform method 总被引:1,自引:0,他引:1
Introduction Fourier transform that summed up a series discomposed sin functions of signal has been one of the widely used methods in the field of signal process all along. While for time information be-ing thrown away by this transform, it is difficult for us to judge when a special signal occurs on the way. Though short time Fourier transform (STFT) was developed later, which can probe local features of signals, it can not reveal what is really there because uniform window functions de-fin… 相似文献