共查询到17条相似文献，搜索用时 156 毫秒
1.
计算2016年3月12日运城盐湖ML 4.8地震序列谱振幅相关系数,并与2006年代县震群相关系数进行对比分析。结果显示,2016年运城盐湖序列与2006年代县震群谱振幅相关系数总体呈下降趋势,但存在起伏变化,在转折上升过程中发生最大余震或震群的主震;2个地震序列的相关系数平均值均不高,可能是因为震源机制一致性较弱,区域应力水平较低。 相似文献
2.
利用2020年以来库车东南震群周边5个台站所记录的92次ML3.0～4.4地震数字波形资料,采用谱振幅相关系数方法,计算该震群谱振幅相关系数。结果显示：(1)库车东南震群谱振幅相关系数处于0.34～0.54之间,平均值为0.49,2023年1月稳定在0.53,该时段相关系数相对较高,表明其区域应力水平较高,2023年1月30日在距震群约100 km发生沙雅MS6.1地震。(2)库车东南震群相关系数变化可以分为3个阶段：2020年1月16日库车MS5.6地震前相关系数相对较高,约为0.54;地震后波动较大,2021年2月恢复平稳状态,在0.45～0.50之间浮动上升;2022年2月相关系数上升至0.50之上,10月之后稳定在0.53～0.54之间。(3)结合库车震群应力降结果分析认为,该地区应力水平高于背景活动水平。 相似文献
3.
利用双差定位方法对盖州青石岭震群2012年2月至2015年8月的地震活动进行了重新定位,并使用CAP方法和P波初动法计算了ML≥4.0地震的震源机制解,之后结合盖州地区的地震地质资料,分析了青石岭震群的发震构造.结果表明:青石岭震群在平面上呈NW向分布,地震活动主要分布在6 km×3 km的矩形范围内,震源深度为7—10 km;较大地震的震源机制解的走向与精定位后地震的优势分布方向一致;综合分析双差定位结果、震源机制解和发震区的地震地质等资料,初步认为九寨—盖县北段西北侧存在NW向次级铲式正断层,青石岭震群即为该断层在区域应力场作用下不断地左旋走滑-拉张错动造成的. 相似文献
4.
<正>1研究背景震群序列判定是地震预报研究的诸多难题之一。国内外一些学者从地震序列发展的物理特征,如前震序列波形或震源机制解相似度、震源参数变化等方面进行了研究。相关研究有：陈（1987）提出利用震源机制的一致性作为判定前震序列的新参数;崔子健等（2012）将地震谱振幅相关系数方法应用于强震震例研究,发现前兆震群谱振幅相关系数更大,震源机制相似性更显著。 相似文献
5.
本文选取辽宁海城、 盖州地区(40°~41°N, 122°~123°E)作为研究区, 利用广义极性振幅技术(GPAT)方法, 反演得到研究区2012—2017年6月共184个地震震源机制解, 并利用Misfit角度分析震源机制一致性参数特征。 研究结果表明: ① 研究区地震震源机制解以走滑型和正断型为主。 海城地区地震震源机制解以NW—SE向节面的左旋走滑型和NWW向节面的正断型为主。 发震构造以NW向海城河断裂为主, NE向节面为主的地震可能受到NE向金州断裂带的控制。 ② 青石岭地区的发震构造为与九寨—盖县北段共轭的NW向未知断裂, 西海域的地震活动可能是NE向的雁式断裂和NW向共轭的未知断裂共同作用的结果。 ③ 震源机制一致性结果显示, 一致性增强后发生了震级相对较大的地震。 研究区的震源机制一致性较强, 表明该区域的应力较为集中。 但由于2016年以来活动趋于平静, 尚难以根据震源机制解一致性程度做出当前应力状态的判断。 相似文献
6.
2013年吉林前郭强震群序列的谱振幅相关系数变化特征 总被引：1，自引：0，他引：1
使用吉林省数字地震台网记录的波形数据,计算了2013年吉林前郭强震群序列ML≥2.5地震的谱振幅相关系数.结果表明:前郭强震群序列的谱振幅相关系数总体较高,在0.85~0.95之间波动,说明该序列具有很强的震源机制一致性,区域应力场强度较高,分析认为可能是该震群序列一直持续发生的原因.研究发现,在2013年11月23日MS5.8强余震发生之前,谱振幅相关系数升高,震后,则明显降低,与前人研究结果一致,即强震前小震震源机制趋于一致,强震后,则发散. 相似文献
7.
使用辽宁地区中小地震的数字波形资料,基于Brune圆盘模型计算了2012年2月～2016年12月盖州青石岭震群M_L≥2.5地震的震源动力学参数。结果表明,震群的视应力为0～12bar,视应力随时间整体表现为突升突降中逐渐衰减的变化形态;应力降随震级的增大而增加,这与Nuttli的板内地震增加应力降(ISD)模型较吻合;通过对比1999年岫岩5.4级地震序列中M_L≥3.5地震的震源参数定标率发现,同震级的青石岭地震其应力降要小10倍左右,综合震源区地质构造、震源机制等因素认为,流体可能在青石岭震群的孕育和发生过程中起了重要作用。 相似文献
8.
9.
使用云南数字地震台网记录的波形数据, 计算了滇西地区2008—2011年发生的6个MS≥4.0地震序列的谱振幅相关系数. 结果表明, 这些地震序列无论是前震型、 主震-余震型, 还是震群型地震, 其谱振幅相关系数均较高, 分析认为可能是该区域处于高应力水平状态所造成的. 谱振幅相关系数较小的地震序列, 其震源机制一致性不高, 区域应力场强度较低, 可以作为判别后续没有更大地震的指标. 前震序列的谱振幅相关系数较高, 但谱振幅相关系数较高的不一定是前震序列. 地震序列的谱振幅相关系数较高, 仅仅表明其区域应力水平较高, 这种状态有利于该区域MS≥5.0地震的再次发生. 相似文献
10.
1 研究背景
震群活动历来是辽宁地区震情研究的热点.1975年辽宁海城MS 7.3地震和1999年辽宁岫岩MS 5.4地震发生前均出现明显前震序列,陈颙等(2015)、崔子健等(2015)研究发现,主震前地震的震源机制一致性较强,谱振幅相关系数较高,而余震的震源机制一致性较差,谱振幅相关系数亦出现明显下降. 相似文献
11.
12.
已有研究表明,与一般性小震群相比,前震序列的震源机制更趋于一致.鉴于小地震的震源机制不易求解,本文利用谱振幅相关分析法研究小地震震源机制是否相似的问题,以探讨小震群序列类型判定的可能性.选择小震群活动频繁的云南西北部作为研究区域,计算发生在该地区的五个震群的谱振幅相关系数.结果显示,2001年施甸MS5.9级及2001年永胜MS6.0级强震震前的小震群序列谱振幅相关系数平均值分别为0.88、0.93;2002年漾濞、2003年洱源、2005年宾川三个一般性小震群的谱振幅相关系数平均值分别为0.48、0.68和0.63.表明,强震前的小震群序列与一般性小震群序列相比,谱振幅相关系数明显较大,接近于1.0,说明其震源机制相似性更为显著.本文针对小震群类型判定所作的理论推测与所研究震例实测结果基本相符合,初步表明,谱振幅相关分析法可能是判定小震群类型的物理意义较为明确的方法,具有实用价值,值得进一步深入研究. 相似文献
13.
In this paper, the focal mechanisms of Huoshan MS4.3 earthquake sequence since October 2013 are calculated with the method developed recently by Snoke, which combines the use of first motion of P, SV and SH waves and their amplitude ratios(referred to as Snoke method). We estimate the difference(also referred to consistency parameter θ)between the stress axis direction of focal mechanism solution and the mean stress tensor on one hand, and get the relative changes of focal mechanisms rather than the focal mechanisms themselves on the other hand, by using methods of correlation coefficient of body-wave spectral amplitudes, first motions and amplitude ratios of vertical P wave of single station, as limited by the network layout and density of observation points, focal mechanism solutions of small earthquakes are not easy to obtain. We studied the changing process of focal mechanisms of Huoshan MS4.3 earthquake sequence since October 2013 with many methods such as consistency parameter, correlation coefficient of body-wave spectral amplitudes, first motion and amplitude ratio of vertical P wave of single station, to determine the type of the sequence. The result shows that: before Huoshan MS4.3 earthquake of April 20, 2014, the consistency parameter of the earthquake sequence was lower than the mean for a long period, correlation coefficient of body-wave spectral amplitudes was always at high values(about 0.9), odds ratio of first motions of vertical P wave of single station near the epicenter, defined as the ratio of predominant number to contrast number of first motions, was up to 13.8 at station SJH, 3.8 at BZY and 3.6 at LNA, respectively; first motions of vertical P wave of single station showed an obvious predominant distribution as a whole, and the amplitude ratios of vertical P were consistent, which suggests that before Huoshan MS4.3 earthquake, focal mechanisms were consistent, so the earthquake sequence before Huoshan MS4.3 earthquake is the foreshock sequence. After Huoshan MS4.3 earthquake, correlation coefficient of body-wave spectral amplitudes was lower(about 0.6), first motions and amplitude ratios of vertical P wave of single station were in disorder, which suggest that the focal mechanisms are inconsistent after the Huoshan MS4.3 earthquake, so the earthquake sequence after Huoshan MS4.3 earthquake is the aftershock sequence, and subsequent larger earthquakes are not likely to occur. The focal mechanisms in Huoshan region during the period of Huoshan MS4.3 earthquake experienced a process from scattering to convergency and to scattering again. 相似文献
14.
首先采用P波、 SV波和SH波的极性和振幅比联合求解2014年安徽省金寨ML3.9震群序列的震源机制解, 并在此基础上计算得到该震群序列的震源一致性参数和P轴方位角随时间的变化; 然后基于震区附近3个台站记录到的该震群序列的地震波形, 计算其体波谱振幅相关系数, 同时读取震区附近3个台站记录到的该震群序列中115次ML≥1.5地震的极性. 研究结果表明: 金寨ML3.9震群序列的地震震源机制解绝大多数为压性走滑型, P轴方位角较为一致; 其震源一致性参数处于较低水平, 体波谱振幅相关系数较高; 台站所记录到的地震极性也较为一致. 该结果表明金寨ML3.9震群序列的震源一致性程度非常高. 相似文献
15.
Based on the digital waveform data recorded by Xinjiang Digital Seismic Network for the Xinyuan-Hejing M_L6.8 earthquake sequences of June 30,2012,this paper analyzes the stress drops of earthquake sequences and the correlation coefficients of focal mechanisms significant for strong aftershocks.Firstly,the source parameters of the Xinyuan-Hejing M_L6.8 earthquake sequences are obtained by applying the spectrum analysis and the Brunes source model.Then,the correlation coefficients of spectral amplitudes are calculated using the low-frequency spectral amplitude recorded by the same station for the different events.Finally,based on the results of the correlation coefficients of spectral amplitudes,the events with similar focal mechanisms are grouped using the clustering method.The results show that:(1)The stress drop values show a steady trend in the aftershock sequence calm period and the stress drop values show a rise-fall in strong aftershocks.(2)The moving average correlation coefficient of amplitude spectrum begins to spread after the main shock.It shows that the correlation decreases between the main shock and the aftershocks in mechanisms.(3)The results of focal mechanism groups show that the earthquake sequences are mainly strike slips.The stress distribution of the main pressure axis is nearly NS,which is the same as the structural stress field.(4)The magnitude and mechanism show that there is an agreement before the strong aftershock,which shows that the regional stress field is enhanced. 相似文献
16.
2013年8月12日西藏自治区昌都地区左贡县、芒康县交界发生6.1级地震,地震序列为前-主-余型,在主震发生前9h内发生了7次ML≥2.0中小地震,最大震级为ML 4.7。本文采用体波谱振幅相关系数方法,基于区域测震台网记录的数字地震波形资料研究左贡-芒康6.1级地震序列震源机制变化过程。结果显示,主震前的中小地震相关系数较高,均值为0.86,表明其震源机制相似程度较高,是具有震兆意义的小震序列;余震的相关系数较低,表明震源机制相似程度较低。 相似文献
17.
An ML4.7 earthquake occurred on February 2,2012 in Liaoning Gaizhou (40.56°N,122.36°E),since then,small earthquakes are frequent in this area,and until now the seismic activity does not stop,several earthquakes with magnitude larger than 4.0 have occurred.As of October 30,2014,1223 earthquakes have happened in the Gaizhou area,including 934 earthquakes with the magnitude ML1.0~1.9,247 with the magnitude ML2.0~2.9 and 45 with the magnitude ML3.0~3.9.Meanwhile,earthquakes are continuously active in Haicheng area where the MS7.3 earthquake happened in 1975,and there are over 1100 earthquakes (ML ≥ 1.0) having occurred since the Gaizhou earthquake swarm activity.Because the polarization direction of the fast shear wave is very sensitive to the variation of the principal stress environment,the shear wave splitting parameter can reflect the regional stress state and the local structural features,especially effective for the analysis of small-scale stress environment characteristics.So based on the seismic activities of the two earthquake clusters,this study analyzes the characteristics of shear-wave splitting in Gaizhou-Haicheng area.Preliminary results show that predominant polarization direction of fast shear-waves in the old earthquake region of Haicheng is stable,consistent with the direction of regional stress field.Due to presence of active fault below the Gaixian station (GAX),the predominant polarization direction of fast shear-waves is more complicated.There are two predominant polarizations,consistent respectively with Jinzhou Fault strike which is below the station and the maximum principal stress direction in this area.In addition,Gaizhou earthquake swarm activity increased after December 22,2013,and after the time node,the predominant polarization direction of fast shear-waves in Gaixian station is SEE,which is close to the predominant polarization direction of fast shear-waves in Yingkou station,at the same time consistent with the maximum principal stress direction of this region.Thus it can be inferred,the enhanced activity of Gaizhou earthquake swarm since December 22,2014 may be related to local enhancement of regional stress.In addition,the average time-delays of slow waves in station YKO and GAX show that there are no obvious changes before and after the time point of December 22,2013,which is different greatly with the previous related researches on the variation of slow wave time-delays,and there is no possibility that the Gaizhou earthquake swarm evolved into foreshock sequences from current preliminary results.We should do more work to study the details of the time delay variation of shear wave splitting parameter. 相似文献