首页> 外文期刊>Journal of geophysical research. Solid earth: JGR >Analysis of nonvolcanic tremor on the San Andreas fault near Parkfield, CA using U. S. Geological Survey Parkfield Seismic Array
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Analysis of nonvolcanic tremor on the San Andreas fault near Parkfield, CA using U. S. Geological Survey Parkfield Seismic Array

机译:使用美国地质调查局帕克菲尔德地震阵列分析加利福尼亚帕克菲尔德附近圣安德烈亚斯断层的非火山震颤

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[I] Reports by Nadeau and Dolenc (2005) that tremor had been detected near Cholame Valley spawned an effort to use UPSAR (U. S. Geological Survey Parkfield Seismic Array) to study characteristics of tremor. UPSAR was modified to record three channels of velocity at 40-50 sps continuously in January 2005 and ran for about 1 month, during which time we recorded numerous episodes of tremor. One tremor, on 21 January at 0728, was recorded with particularly high signal levels as well as another episode 3 days later. Both events were very emergent, had a frequency content between 2 and 8 Hz, and had numerous high-amplitude, short-duration arrivals within the tremor signal. Here using the first episode as an example, we discuss an analysis procedure, which yields azimuth and apparent velocity of the tremor at UPSAR. We then provide locations for both tremor episodes. The emphasis here is how the tremor episode evolves. Twelve stations were operating at the time of recording. Slowness of arrivals was determined using cross correlation of pairs of stations; the same method used in analyzing the main shock data from 28 September 2004. A feature of this analysis is that 20 s of the time series were used at a time to calculate correlation; the longer windows resulted in more consistent estimates of slowness, but lower peak correlations. These values of correlation (peaks of about 0.25), however, are similar to that obtained for the S wave of a microearthquake. Observed peaks in slowness were traced back to source locations assumed to lie on the San Andreas fault. Our inferred locations for the two tremor events cluster near the locations of previously observed tremor, south of the Cholame Valley. Tremor source depths are in the 14-24 km range, which is below the seismogenic brittle zone, but above the Moho. Estimates of error do not preclude locations below the Moho, however. The tremor signal is very emergent but contains packets that are several times larger than the background tremor signal and lasts about 5 s. These impulsive wavelets are similar to low-frequency earthquakes signals seen in Japan but appear to be broader band rather than just higher in low-frequency energy. They may be more appropriately called high-energy tremor (HET). HET signals at UPSAR correlate well with the record of this event from station GHIB of the HRSN borehole array at Parkfield and HETs typically have a higher cross-correlation coefficient than the rest of the tremor event. The amplitudes of a large HET are consistent with a magnitude of 0.1 when compared with a M2.3 event that had about the same epicenter. Polarizations of the tremor episode at UPSAR are mostly just north of east. Both linearity and azimuth evolve over time suggesting a change in tremor source location over time and linearity is typically higher at the HETs.
机译:[I] Nadeau和Dolenc(2005)的报告指出,在Cholame山谷附近发现了地震,这促使人们努力使用UPSAR(美国地质调查局帕克菲尔德地震阵列)研究地震的特征。对UPSAR进行了修改,以在2005年1月连续记录40-50 sps的三个速度通道,并运行了大约1个月,在此期间,我们记录了许多震颤发作。 1月21日0728年发生了一次地震,信号电平特别高,三天后又发生了一次地震。这两个事件都很紧急,频率含量在2到8 Hz之间,并且在震颤信号内有许多高振幅,短时间到达。在这里以第一集为例,我们讨论一种分析程序,该程序将产生UPSAR的震荡方位角和视在速度。然后,我们提供两个震颤发作的位置。这里的重点是震颤发作如何演变。记录时有12个电台正在运行。使用站对之间的互相关来确定到达的慢度;自2004年9月28日起分析主要冲击数据时使用的方法相同。此分析的特点是一次使用20 s的时间序列来计算相关性;窗口越长,导致对慢度的估计更加一致,但峰值相关性越低。但是,这些相关值(峰值约为0.25)类似于微地震的S波获得的相关值。观测到的慢度峰值可追溯到假定位于圣安德烈亚斯断层的震源位置。我们针对这两次地震事件推断出的位置聚集在Cholame山谷以南的先前观察到的地震位置附近。震源深度在14-24 km范围内,在地震发脆区以下,但在莫霍面以上。但是,误差的估计并不排除在莫霍面以下的位置。震颤信号非常明显,但是包含的数据包比背景震颤信号大几倍,并且持续约5 s。这些脉冲小波类似于在日本看到的低频地震信号,但似乎具有更宽的频带,而不仅仅是低频能量。他们可能更恰当地称为高能震颤(HET)。 UPSAR处的HET信号与来自Parkfield的HRSN井眼阵列的GHIB站的该事件的记录很好地相关,并且HET通常具有比其余地震事件更高的互相关系数。与震中大致相同的M2.3事件相比,大型HET的幅度与0.1的幅度一致。 UPSAR的震颤两极分化大多位于东部以北。线性和方位角都随时间而变化,这表明震源位置随时间变化,并且在HET处,线性度通常较高。

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