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本文根据中国地区地震P波和S波走时表与地壳和地幔中地震波的速度分布,计算和编制中国地区深度震相pP,sS,pS;sP的走时表以及地面反射波、转换波PP,SS,PS,SP震相的走时表。自1940年Jeffreys和Bullen计算了全球平均的走时表之后,除Herrin等人重新算过pP走时表外,对于sS,sP,pS震相走时一直没有人再行算过。提出中国地区符合实际情况的深度震相走时表,对于远震记录的分析处理,提高测定震源深度的精度,揭示在某些深度和震中距离上深度震相在中国地区的特征将有一定的价值,并与中国地区地震P波和S波走时表相匹配,使之自成一个体系。我们将进一步采用一系列最新数据处理方法计算《深度震相和地面反射波、转换波走时》的软件亦可供其他地区计算走时表的参考。 相似文献
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综合介绍了根据我国台网的观测资料、采用国际先进方法编制的《中国地区地震 P 波和 S 波走时表》,检验表明,它比J—B 表及国外其他走时表更符合我国实际,用以测量震源参数具有较高精度。 相似文献
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利用青海台网记录清晰的P波震相资料,根据单层地壳模型地震走时方程,计算了P波速度和震源深度,得到直达波速度正态分布置信区间为5.96~6.09 km/s,首波波速度置信区间为7.69~8.06 km/s,震源深度置信区间为5.6~5.8 km。 相似文献
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青藏高原东北缘地壳及上地幔顶部速度结构研究 总被引：1，自引：0，他引：1
本文利用青藏高原东北缘71个固定台站与418个流动台站记录到的天然地震事件资料,采用双差层析成像方法对近震走时数据进行反演,获得了研究区高分辨率的三维P、S波速度结构和地震重定位结果.研究结果表明,本文给出的P、S波速度模型较已有的全球模型能更好的解释体波走时与面波相速度观测资料.松潘—甘孜和祁连构造带下方20～40 km深度范围表现为显著的P、S波低速异常,其中松潘—甘孜地块的壳内低速层可能与地壳部分熔融有关,而祁连构造带的壳内低速层则可能与地壳增厚有关.精定位后的岷漳6.7级地震和九寨沟7.0级地震震源深度都位于脆性的上地壳.两个地震的震源区地处不同块体的边界,均处在高、低速过渡带.震源区的壳内低速层可能处于部分熔融或易于蠕变的状态,脆性上地壳更容易积累应变能,从而导致地震的发生. 相似文献
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从小湾水库台网2005—2008年记录的众多地震中,挑选出最少被4个台站接收到的高质量地震数780个,一共5230条P波和4883条S波到时资料。利用Kissling方法得到了小湾水库库区最小一维P波和S波速度模型以及台站校正值。反演后的最小一维P波速度模型走时均方根残差从0.81s减少到0.12s,数据方差从1.64s2减少到0.04s2;地震震源深度比原来增加大约1公里,震源分布更加集中;不同台站的校正值差异表征了小湾库区速度结构存在横向不均匀性。最后利用得到的最小一维速度模型和台站校正值进行重定位,结果地震的走时均方根残差明显减少,表明得到的最小一维速度模型可信度较高。 相似文献
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《地震》2016,(2)
从小湾水库台网2005—2008年记录的众多地震中,挑选出最少被4个台站接收到的高质量地震数780个,一共5 230条P波和4 883条S波到时资料。利用Kissling方法得到了小湾水库库区最小一维P波和S波速度模型以及台站校正值。反演后的最小一维P波速度模型走时均方根残差从0.81s减少到0.12s,数据方差从1.64s2减少到0.04s2;地震震源深度比原来增加大约1公里,震源分布更加集中;不同台站的校正值差异表征了小湾库区速度结构存在横向不均匀性。最后利用得到的最小一维速度模型和台站校正值进行重定位,结果地震的走时均方根残差明显减少,表明得到的最小一维速度模型可信度较高。 相似文献
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利用地震波走时联合反演算法(改进型最短路径算法)进行三维弯曲地震射线追踪正演, 以及共轭梯度法求解带约束的阻尼最小二乘问题进行反演, 同时更新速度模型和地震震中位置, 结合地方震和区域地震走时资料得到了黄土高原(含汾渭断陷盆地)及邻区地壳三维P波速度结构. 其横向变化结果表明, 研究区地壳内的P波高速异常区与其内的地震活动构造带相一致, 地震多发生在P波高速异常区的边缘或高、 低速异常区的交汇处. 秦岭山区和鄂尔多斯块体东南区为P波低速异常区. 而垂向变化结果则表明研究区存在低速异常区. 相似文献
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实际地震波形观测表明,对于大陆结构相对简单的地壳中的地震而言,有一震相出现在P 波和S波之间.一般在30~50 km附近发育得较好,其能量主要集中在径向分量,而垂向分量的振幅相对径向要小,切向分量上的振幅很弱,且波形以低频为主,通常没有P波尖锐.在利用FK方法计算合成地震图的基础上,发现该震相是由S波入射到自由地表形成水平传播的P波(文献称为surface P wave,自由地表P波)或者包括S波入射到地表后形成的多次P波或其散射震相.由于该震相是由S波和P波之间耦合而形成,本文将其定义为sPL(s coupled into P) 震相.理论波形研究表明,sPL相对直达P波的到时差对震中距离不敏感,而随着震源深度的增加几乎呈线性增加,因此可以很好的约束震源深度.本文以2005年江西九江地震为例,证实了sPL确定震源深度的可行性和可靠性.在观测到sPL震相的情况下,离震源50 km以内的一个三分量地震台站的波形就可以帮助获得可靠的震源深度,而不需要精确的震中距离.由于sPL震相出现距离较近,对于较小(三级以上)的地震也可以应用,因此在稀疏台网布局情形下sPL对于确定中小地震深度应该具有很好的应用意义. 相似文献
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邢台地震区深部构造背景的地震转换波探测和研究 总被引：14，自引：5，他引：14
1982-1986年期间,在东汪、隆尧和百尺口邢台地区的强震震源区完成了3条近NW向地震转换波测深剖面。利用转换波数据处理新方法,实现了转换震相的相位对比追踪,得出了震源区较详细的深部构造剖面图和速度结构模型。发现强震震源区深部构造的特点为:上地壳强烈褶皱变形;中地壳急剧减薄;下地壳和上地幔局部上隆;存在一组深部超壳断裂;低速层急剧增厚,波速比增大以及上地幔波速偏低。表明研究区的下地壳和上地幔的温度可能偏高,其地震活动可能与上地幔物质的侵入作用有关。 相似文献
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《Journal of Geodynamics》1999,27(4-5):567-583
Upper mantle P and S wave velocities in the western South America region are obtained at depths of foci from an analysis of travel time data of deep earthquakes. The inferred velocity models for the Chile–Peru–Ecuador region reveal an increase of P velocity from 8.04 km/s at 40 km to 8.28 km/s at 250 km depth, while the S velocity remains almost constant at 4.62 km/s from 40 to 210 km depth. A velocity discontinuity (probably corresponding to the L discontinuity in the continental upper mantle) at 220–250 km depth for P and 200–220 km depth for S waves, with a 3–4% velocity increase, is inferred from the velocity–depth data. Below this discontinuity, P velocity increases from 8.54 km/s at 250 km to 8.62 km/s at 320 km depth and S velocity increases from 4.81 km/s at 210 km to 4.99 km/s at 290 km depth. Travel time data from deep earthquakes at depths greater than 500 km in the Bolivia–Peru region, reveal P velocities of about 9.65 km/s from 500 to 570 km depth. P velocity–depth data further reveal a velocity discontinuity, either as a sharp boundary at 570 km depth with 8–10% velocity increase or as a broad transition zone with velocity rapidly increasing from 560 to 610 km depth. P velocity increases to 10.75 km/s at 650 km depth. A comparison with the latest global average depth estimates of the 660 km discontinuity reveals that this discontinuity is at a relatively shallow depth in the study region. Further, a velocity discontinuity at about 400 km depth with a 10% velocity increase seems to be consistent with travel time observations from deep earthquakes in this region. 相似文献
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Günter Bock 《Physics of the Earth and Planetary Interiors》1981,25(4):360-371
P-wave travel-time residuals at the Warramunga Seismic Array (WRA) in the Northern Territory, Australia, have been studied from 49 earthquakes with epicenters south of 19°S in the Fiji-Tonga region. Focal depths are between 42 and 679 km as determined from pP-P. Using the Jeffreys-Bullen and the Herrin travel-time tables the epicentral parameters have been redetermined by considering only “normal” seismic stations in the location procedure. These are those stations where P-wave travel times are probably not affected by lateral heterogeneities caused by the lithosphere descending beneath the Tonga trench. Epicenters of deep earthquakes below 300 km have been relocated by using stations at Δ > 25° only. Epicenters from shallower-depth earthquakes have been recalculated without using stations between 35 < Δ < 75° epicentral distance. In both cases focal depths were determined from pP-P times. The resulting pattern of P-residuals at WRA does not show any significant change with depth below 350 km. The residuals become more negative for shallower earthquakes above about 250 km. P-waves to WRA are advanced by approximately 2 s compared with those from deep earthquakes. The results do not essentially differ for the two different travel-time tables used. The observations can be interpreted by P-wave velocities that are higher in the sinking slab down to 350–400 km by 5±2% than in both the Jeffreys-Bullen and Herrin models. Without considering possible elevations of phase boundaries this estimate yields a temperature contrast of 1000±450°C between slab and normal mantle material in this depth range. 相似文献
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A direct measurement of apparent velocities for oceanic paths was made with an array of sensitive ocean bottom seismographs. The measurement was performed by recording waves from shallow earthquakes which occurred in the area close to trench axes and which were accurately located by the land seismological network in Japan. The range of epicentral distances is from 500 to 1,800 km.The observed P travel times are less than those in the Jeffreys-Bullen tables by 6–10 s for the range of distances.Since the dimension of the OBS array is about 400 km, the apparent velocities are determined quite precisely and show little dependence on the epicentral distances. The average value of the apparent velocities for the range 500–1,700 km is 8.64 ± 0.13 km/s.An offset of travel times, which is thought to be associated with a low-velocity layer underneath the oceanic lithosphere, has been observed.These results indicate that a high-velocity layer with a velocity of 8.6 km/s exists in the lower part of the oceanic lithosphere. Beneath the 8.6-km/s layer there is a thin low-velocity layer under which the velocity of the P wave is again 8.6 km/s. 相似文献
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在南北地震带地区,USGS全球地震目录中存在一些震源深度大于30km的地震.这些地震的震源深度是否可靠,对于研究这一地区的孕震机制、岩石圈强度和构造演化等科学问题具有重要意义.本文以南北地震带2012年发生的5个4~5级地震为例,利用区域地震台网的波形数据,基于sPL深度震相、短周期瑞利面波以及CAP等独立方法测定了其震源深度.结果表明:sPL深度震相和CAP方法给出的震源深度比较一致,差别小于2~3km,能够得到比较可靠的震源深度;短周期瑞利面波及其与P波振幅比也确定了地震震源深度较浅的特征.本文研究结果显示:宁夏会宁4.7级、云南富民4.8级和四川会东4.7级地震的震源深度约为8~12km左右,仍为发生于上地壳的地震,USGS地震目录给出的30km甚至更深的震源深度存在明显偏差;对于四川隆昌4.6和4.9级地震,本文给出的震源深度为1~2km,属于极浅源地震,USGS地震目录给出的10km和35km的震源深度结果尚需进一步改进. 相似文献
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本文用WKBJ方法,计算了中国境内已知震源机制的六个地震————1973年7月14日西藏约基台错地震;1975年2月4日海城地震;1976年8月16日、1976年8月21日及1976年8月23日松潘地震和1976年11月15日宁河地震————的远震垂直向P波和PP波的理论地震图,并与观测波形进行对比,以检验计算方法。讨论了西藏地震的震源机制。 作者注意到,走滑型地震和倾滑型地震PP波与P波最大振幅的比值在一定的震中距范围内有不同的特征。为此,计算了走滑型和倾滑型地震在破裂方位角为330,240和0,震源深度为8km,17km和24km,台站方主角为310时,震中距由40到80间的P波与PP波理论地震图。给出了PP波与P波最大振幅比(APP/AP)随震中距而变化的曲线。讨论了用(APP/AP)值对地震震源机制类型给出粗略的估计的可能性。此项工作有助于确定一些资料不全,例如本世纪30年代到60年代间中国地震的震源机制类型。 相似文献
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The problem of determining focal depths of earthquakes in the Crimea–Black Sea region is considered. Based on the results of interannual studies, it is found that the focal depths of Crimean earthquakes are mainly crustal, with maximum values of up to 60 km. Some recent publications, however, have described deep-focus earthquakes with depths of up to 300 km which were “revealed” in the Crimean region. In this respect, there arose the need to study such a large difference in estimated focal depths. Convincing examples show that the sensational “revelation” of deep earthquakes in Crimea was caused by incorrect processing of the experimental data, in particular, due to (1) a sharp distortion in the recorded arrival times of body waves, (2) exclusion of data from stations nearest to a source, (3) unreasonable arbitrary selection of data from seismic stations, and (4) dropping of data from the worldwide seismological network, including those on deep seismic phases. Thus, the conclusions about the presence of deep mantle earthquakes in Crimea are erroneous. We have redetermined the parameters of hypocenters and verified that the focal depths of earthquakes in the Crimea–Black Sea region are no more than 60 km. Based on these data, we analyze the features of the spatial distribution of focal depths to show that earthquake sources are grouped along conduits that dip southeastward, from the continental part of Crimea toward the Black Sea Basin, in the case of grouping of sources in the Alushta–Yalta and Sevastopol areas. The seismic focal layer of the Kerch–Anapa area dips northeastward, from the Black Sea beneath the North Caucasus. 相似文献
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Focal depth is one of the most difficult seismic parameters to determine accurately in seismology. The focal depths estimated by various methods are uncertain to a considerable degree,which affects the understanding of the source process. The influence of various factors on focal depth is non-linear. The influence of epicentral distance,arrival time residual and velocity model (crust model) on focal depth is analyzed based on travel time formula of near earthquakes in this paper. When wave propagation velocity is constant, the error of focal depth increases with the increase of epicentral distance or the distance to station and the travel time residual. When the travel time residual is constant,the error of focal depth increases with the increase of the epicentral distance and the velocity of seismic wave. The study also shows that the location error perhaps becomes bigger for shallower earthquakes when the velocity is known and the travel time residual is constant. The horizontal error caused by location accuracy increases with the increase of the epicentral distance,the travel time residual and the velocity of seismic waves,thus the error of focal depth will increase with these factors. On the other hand,the errors of focal depth will lead to change of the origin time,therefore resultant outcomes will all change. 相似文献
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V. G. Krishna 《Journal of Seismology》2018,22(6):1395-1408
We present an approach based on controlled source seismology (CSS) methods, especially developed for processing and modeling of the local earthquake seismograms. Record sections of the local earthquake seismograms generated for multiple source depths illuminate the upper crustal velocity structure in the region. Extensive travel times and synthetic seismograms modeling of the observed record sections reveal the P and S velocity structure in the region. The strength of this approach essentially lies with the possibility of validating the upper crustal velocity models inferred in various subregions of the seismogenic region. A redundant and significantly large number of virtual source local earthquake seismogram sections, gathered for multiple source depths and varying source mechanisms in each of the subregions, validate the same set of P and S velocity models in that region. Further, those models are found to generate the synthetic seismograms consistent with the observed sections. The proposed approach effectively utilizes a reliable dataset from a great volume of well-located local earthquake recordings of a state-of-the-art digital seismograph network. Such a dataset of local earthquake seismograms in the Koyna-Warna active earthquake zone is used here to demonstrate this approach and obtained subregion-specific models of upper crustal P and S velocity structure in the epicentral region. The results indicate that the technique presented here is efficient for processing and modeling the local earthquake seismograms and deriving upper crustal velocity models in the seismogenic regions. 相似文献