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1.
Non-volcanic deep low-frequency tremors in southwest Japan exhibit a strong temporal and spatial correlation with slow slip detected by the dense seismic network. The tremor signal is characterized by a low-frequency vibration with a predominant frequency of 0.5–5 Hz without distinct P- or S-wave onset. The tremors are located using the coherent pattern of envelopes over many stations, and are estimated to occur near the transition zone on the plate boundary on the forearc side along the strike of the descending Philippine Sea plate. The belt-like distribution of tremors consists of many clusters. In western Shikoku, the major tremor activity has a recurrence interval of approximately six months, with each episode lasting over a week. The tremor source area migrates during each episode along the strike of the subducting plate with a migration velocity of about 10 km/day. Slow slip events occur contemporaneously with this tremor activity, with a coincident estimated source area that also migrates during each episode. The coupling of tremor and slow slip in western Shikoku is very similar to the episodic tremor and slip phenomenon reported for the Cascadia margin in northwest North America. The duration and recurrence interval of these episodes varies between tremor clusters even on the same subduction zone, attributable to regional difference in the frictional properties of the plate interface.  相似文献   
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诱发地震中的非双力偶震源   总被引:1,自引:0,他引:1  
在诱发地震的研究中,用小孔径地震台网在近场观测,其震源机制的P波初动除Ⅲ象限分布的双力偶外,还有不是Ⅲ象限分布的非双力偶震源机制。双力偶震源机制是剪切破裂机制。非双力偶震源机制为向内源炸型和张破裂机制,以及在适当方向上两个以上双力偶迭加的结果。  相似文献   
4.
Besides their common use in atmospheric studies, Doppler radars are promising tools for the active remote sensing of volcanic eruptions but were little applied to this field. We present the observations made with a mid-power UHF Doppler radar (Voldorad) during a 7-h Strombolian eruption at the SE crater of Mount Etna on 11–12 October 1998. Main characteristics of radar echoes are retrieved from analysis of Doppler spectra recorded in the two range gates on either side of the jet axis. From the geometry of the sounding, the contribution of uprising and falling ejecta to each Doppler spectrum can be discriminated. The temporal evolution of total power backscattered by uprising targets is quite similar to the temporal evolution of the volcanic tremor and closely reproduces the overall evolution of the eruption before, during and after its paroxysm. Moreover, during the sharp decrease of eruptive activity following the paroxysm, detailed analysis of video (from camera recording), radar and seismic measurements reveals that radar and video signals start to decrease simultaneously, approximately 2.5 min after the tremor decline. This delay is interpreted as the ascent time through a magma conduit of large gas slugs from a shallow source roughly estimated at about 500 m beneath the SE crater. Detailed analysis of eruptive processes has been also made with Voldorad operating in a high sampling rate mode. Signature of individual outburst is clearly identified on the half part of Doppler spectra corresponding to rising ejecta: temporal variations of the backscattered power exhibit quasi periodic undulations, whereas the maximum velocity measured on each spectrum displays a sharp peak at the onset of each outburst followed by a slow decay with time. Periodicity of power variations (between 3.8 and 5.5 s) is in agreement with the occurrence of explosions visually observed at the SE vent. Maximum vertical velocities of over 160 m s–1 were measured during the paraoxysmal stage and the renewed activity. Finally, by using a simplified model simulating the radar echoes characteristics, we show that when Voldorad is operating in high sampling rate mode, the power and maximum velocity variations are directly related to the difference in size and velocity of particles crossing the antenna beam.Editorial responsibility: A. Woods  相似文献   
5.
The assumption that volcanic tremor may be generated by deterministic nonlinear source processes is now supported by a number of studies at different volcanoes worldwide that clearly demonstrate the low-dimensional nature of the phenomenon. We applied methods based on the theory of nonlinear dynamics to volcanic tremor events recorded at Sangay volcano, Ecuador in order to obtain more information regarding the physics of their source mechanism. The data were acquired during 21–26 April 1998 and were recorded using a sampling interval of 125 samples s–1 by two broadband seismometers installed near the active vent of the volcano. In a previous study Johnson and Lees (2000) classified the signals into three groups: (1) short duration (<1 min) impulses generated by degassing explosions at the vent; (2) extended degassing chugging events with a duration 2–5 min containing well-defined integer overtones (1–5 Hz) and variable higher frequency content; (3) extended degassing events that contain significant energy above 5 Hz. We selected 12 events from groups 2 and 3 for our analysis that had a duration of at least 90 s and high signal-to-noise ratios. The phase space, which describes the evolution of the behavior of a nonlinear system, was reconstructed using the delay embedding theorem suggested by Takens. The delay time used for the reconstruction was chosen after examining the first zero crossing of the autocorrelation function and the first minimum of the Average Mutual Information (AMI) of the data. In most cases it was found that both methods yielded a delay time of 14–18 samples (0.112–0.144 s) for group 2 and 5 samples (0.04 s) for group 3 events. The sufficient embedding dimension was estimated using the false nearest neighbors method which had a value of 4 for events in group 2 and was in the range 5–7 for events in group 3. Based on these embedding parameters it was possible to calculate the correlation dimension of the resulting attractor, as well as the average divergence rate of nearby orbits given by the largest Lyapunov exponent. Events in group 2 exhibited lower values of both the correlation dimension (1.8–2.6) and largest Lyapunov exponent (0.013–0.022) in comparison with the events in group 3 where the values of these quantities were in the range 2.4–3.5 and 0.029–0.043, respectively. Theoretically, a nonlinear oscillation described by the equation ++g(x)=fcost can generate deterministic signals with characteristics similar to those observed in groups 2 and 3 as the values of the parameters ,,f, are drifting, causing instability of orbits in the phase space.  相似文献   
6.
发生在孕震区周边地块上的临震预滑和震颤现象,对破坏性地震预测有一定前兆意义,是值得地震学界关注的问题。选取2008年5月12日汶川MW 7.9地震发生前,临夏和湟源地震台分量应变仪记录与临夏、恩施和西安地震台数字地震仪记录以及临夏和周至地震台深井水位仪记录,分析发现,在临震前数天至数小时,上述各地震台不同学科观测仪器均记录到一些"跃变"和"震颤"震相。文中试图以颗粒物理原理,来认识不同距离、不同台站、不同学科的观测仪器在临震前相近时间段内记录的低频和高频震相,可能是不同地块在临震前发生预滑错动后激发的预滑震相Xp和地下气体在裂隙内流动激发的震颤震相Tp。观测结果表明:2008年5月8日03时至主震发生,各地震台所处地块在相近时段内逐次发生次数不等的预滑错动,其中1-2次较大错动可在噪声背景中被识别;各地震台预滑错动方向指向或背向主震震中。据此认为:汶川MW 7.9地震前,上述各地震台所处地块在不同大小、不同方向的力链驱动下,发生指向或背向主震震中的临震预滑现象。  相似文献   
7.
发生在孕震区周边地块上的临震预滑和震颤现象,对破坏性地震预测有一定前兆意义,是值得地震学界关注的问题。选取2008年5月12日汶川M_W 7.9地震发生前,临夏和湟源地震台分量应变仪记录与临夏、恩施和西安地震台数字地震仪记录以及临夏和周至地震台深井水位仪记录,分析发现,在临震前数天至数小时,上述各地震台不同学科观测仪器均记录到一些"跃变"和"震颤"震相。文中试图以颗粒物理原理,来认识不同距离、不同台站、不同学科的观测仪器在临震前相近时间段内记录的低频和高频震相,可能是不同地块在临震前发生预滑错动后激发的预滑震相Xp和地下气体在裂隙内流动激发的震颤震相Tp。观测结果表明:2008年5月8日03时至主震发生,各地震台所处地块在相近时段内逐次发生次数不等的预滑错动,其中1—2次较大错动可在噪声背景中被识别;各地震台预滑错动方向指向或背向主震震中。据此认为:汶川M_W7.9地震前,上述各地震台所处地块在不同大小、不同方向的力链驱动下,发生指向或背向主震震中的临震预滑现象。  相似文献   
8.
爆破、矿震与地震的波谱差异   总被引:10,自引:3,他引:7  
根据辽宁数字地震台网记录的爆破、矿震与地震的数字资料,采用波谱分析的方法,选取4个台站对其所在区域182个爆破、矿震与地震事件的记录,对比研究波谱特征,发现爆破、矿震与地震的纵横波拐角频率fc(P,S)及最大谱值等存在的差异。  相似文献   
9.
固体潮观测中的震颤异常波   总被引:8,自引:1,他引:7       下载免费PDF全文
在地震与固体潮台站的日常监测中,常发现有一些异常"脉动"信号叠加在固体潮曲线上.这些异常"脉动"与宽频带数字地震计的观测在时间上同步、一致,其中的一部分由发生在西太平洋上的热带气旋引起,而其他的则大多与强地震相伴随,统称为震颤异常波.本文介绍了华中科技大学的地震与固体潮观测台站(HUST)的概况,报道了该台应用 DZW重力仪和VS-1倾斜仪观测记录到的大量震颤异常波事例.大量观测事实表明:中国固体潮台站记录的震颤异常波,绝大多数只在DZW重力仪和VS-1倾斜仪的低通滤波1 通道(LP1)出现,而在其低通滤波2通道(LP2)和其他固体潮仪器中则罕有发现;震颤异常波的包络线大多呈"纺锤状"或"尾巴状",持续时间多为1~3天. 通过对震颤异常波和固体潮观测仪器的分析研究,得到以下结论:震颤异常波实际上就是一种来源复杂的地球脉动信号,响应范围广泛,可被宽频带数字地震计和固体潮仪器记录.由西太平洋上的热带气旋引起的震颤异常波的主要周期在3~7 s范围,而强震前的震颤异常波则除此外,还包含10~60 s及更长周期的信号.固体潮仪器对震颤异常波响应的差异是因为仪器的传递函数不同和特性所致. DZW重力仪和VS-1倾斜仪分钟值采样数据中的震颤异常波,只是真实信号的一种"混叠"或映射.强震前的震颤异常波是否与地震有关?是否是震兆?尚需做更深入细致的分析和研究.  相似文献   
10.
煤矿矿震定位中异向波速模型的构建与求解   总被引:5,自引:2,他引:3       下载免费PDF全文
针对煤矿上覆岩层层状赋存和离层带的特点,构建矿井尺度的微震监测系统异向波速模型,模型中波速向量由地面探头速度与井下探头速度组成.研究了在只有强矿震信号和混有爆破信号两种条件下,以到时残差最小为目标和震源定位误差最小为目标的两种求解模型,模型求解选用具有全局寻优特性的遗传算法与CMEAS算法结合的混合算法.现场实际应用得出,只使用爆破信号的到时残差法最优,混有强矿震信号的到时残差法其次;与爆破信号定位所用的统一简化波速模型相比,震源定位误差大幅度降低.在此基础上进一步减低定位误差,还需从微震台网的优化布设方面解决.  相似文献   
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