首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 93 毫秒
1.
We examine the spatial distribution of earthquake hypocenters in four central California areas: the aftershock zones of the (1) 1984 Morgan Hill (2) 1979 Coyote Lake, and (3) 1983 Coalinga earthquakes, as well as (4) the aseismically creeping area around Hollister. The basic tool we use to analyze these data are frequency distributions of interevent distances between earthquakes. These distributions are evaluated on the basis of their deviation from what would be expected if earthquakes occurred randomly in the study areas. We find that both background seismic activity and aftershocks in the study areas exhibit nonrandom spatial distribution. Two major spatial patterns, clustering at small distances and anomalies at larger distances, are observed depending on tectonic setting. While both patterns are seen in the strike-slip environments along the Calaveras fault (Morgan Hill, Coyote Lake, and Hollister), aftershocks of the Coalinga event (a thrust earthquake) seem to be characterized by clustering only. The spatial distribution of earthquakes in areas gradually decreasing in size does not seem to support the hypothesis of a self-similar distribution over the range of scales studied here, regardless of tectonic setting. Spatial distributions are independent of magnitude for the Coalinga aftershocks, but events in strike-slip environments show increasing clustering with increasing magnitude. Finally, earthquake spatial distributions vary in time showing different patterns before, during, and following the end of aftershock sequences.  相似文献   

2.
2013年10月吉林省前郭强震群研究   总被引:2,自引:0,他引:2  
从2013年10月31日开始,不到一个月的时间吉林省前郭县就发生了5次5级以上地震,最大地震为11月23日的Ms5.8地震。根据震源机制解、余震序列特征、震中区地质构造特点以及历史地震情况,对这次强震群的发震条件进行探讨。认为震源区位于松辽盆地中部滑脱面上部的推覆构造系内,我国东北块体应力应变状态受2011年日本9级巨震影响,应力使滑脱面上部的隐伏铲形断层面组发生错动,从而发生这次隅露群.  相似文献   

3.
本文采用云南测震台网的观测报告数据,利用双差定位方法对2014年鲁甸MS6.5地震及其强余震序列进行了重定位,获得了3 658个地震事件的震源参数。重定位后地震序列的震中分布显示,余震分布存在两个优势方向,分别为近EW向和SES向,呈共轭型分布,近EW向条带展布长度为30 km,SES 向条带展布长度为20 km;震源深度的分布显示,地震序列总体表现为主震附近震源较深,沿近EW向和SES向逐渐变浅,地震序列的震源深度主要分布在4—20 km范围内。截至2017年2月28日,鲁甸MS6.5地震震源区共发生(同一天发生的一组地震算一次)MS≥4.5强余震4次。重定位后的鲁甸4次强余震序列震中分布存在差异:2014年9月10日和10月27日两次强余震序列的展布特征与主震相同,而2016年和2017年另外两次强余震的后续余震仅分布在强余震的周边,与主震序列明显不同。综合重定位后余震序列分布、震源区地质调查资料以及前人研究认为,鲁甸地震的4次强余震序列是区域应力场和主震引发的震源区应力场共同作用的结果,2014年9月10日和10月27日的两次强余震序列主要受主震引发的震源区应力场的影响;而2016年和2017年两次强余震序列则主要受区域应力场的影响。   相似文献   

4.
整理了近40年菲律宾MS≥7级地震公开的灾害数据,采用可公度计算、蝴蝶结构图、可公度结构系等方法分析判断未来地震的时间;利用相邻地震震源经、纬度差变化分析震中的空间迁移;并利用震中经向、纬向迁移进行佐证,实现对其时空结构的未来趋势判断。通过判断发现菲律宾MS≥7级地震在2014年、2015年发生的信号较强;未来地震震中可能会在2013年10月15日菲律宾地震震中的东北方向,空间位置大致在9.8°N以北,126.704°E以东。菲律宾MS≥7级地震与地球自转速度变化有一定的关系,减速期发生地震的可能性更大,且速率转换的时间越长越易发生地震;同时发现太阳活动处于活跃强烈期内时,太阳黑子峰值、次峰值前后发生地震的概率很大。目前地球自转正处于减速期、太阳活动处于太阳黑子第24周期极大年附近,所以2014—2015年菲律宾发生MS≥7级地震的可能性很大。  相似文献   

5.
云南地区中强地震震源破裂图像   总被引:2,自引:0,他引:2  
利用等震线和余震序列资料,主要研究了云南地区151次中、强震的震源破裂方向资料,给出云南地区中强地震震源破裂的空间展布图像。结果表明,该区的5~6级地震破裂相对较散乱,没有明显的优势方向。而7级以上地震破裂具有明显的方向性,以北北西-北西向为主,占63%;其次是近南北向,占21%它们形成了3条具相当规模的震源破裂带。  相似文献   

6.
In this paper the statistical properties of solar flares and earthquakes are compared by analyzing the energy distributions, the time series of energies and interevent times, and, above all, the distributions of interevent times per se. It is shown that the two phenomena have different statistics of scaling, and even the same phenomenon, when observed in different periods or at different locations, is characterized by different statistics that cannot be uniformly rescaled onto a single, universal curve. The results indicate apparent complexity of impulsive energy release processes, which neither follow a common behaviour nor could be attributed to a universal physical mechanism.  相似文献   

7.
We examine the nature of the seismogenetic system along the San Andreas Fault (SAF), California, USA, by searching for evidence of complexity and non-extensivity in the earthquake record. We use accurate, complete and homogeneous earthquake catalogues in which aftershocks are included (raw catalogues), or have been removed by a stochastic declustering procedure (declustered catalogues). On the basis of Non-Extensive Statistical Physics (NESP), which generalizes the Boltzmann–Gibbs formalism to non-equilibrating (complex) systems, we investigate whether earthquakes are generated by an extensive self-excited Poisson process or by a non-extensive complex process. We examine bivariate cumulative frequency distributions of earthquake magnitudes and interevent times and determine the size and time dependence of the respective magnitude and temporal entropic indices, which indicate the level on non-equilibrium (correlation). It is shown that the magnitude entropic index is very stable and corresponds to proxy b-values that are remarkably consistent with the b-values computed by conventional means. The temporal entropic index computed from the raw catalogues indicate moderately to highly correlated states during the aftershock sequences of large earthquakes, progressing to quasi-uncorrelated states as these die out and before the next large event. Conversely, the analysis of the declustered catalogues shows that background seismicity exhibits moderate to high correlation that varies significantly albeit smoothly with time. This indicates a persistent sub-extensive seismogenetic system. The degree of correlation is generally higher in the southern SAF segment, which is consistent with the observation of shorter return periods for large earthquakes. A plausible explanation is that because aftershock sequences are localized in space and time, their efficient removal unveils long-range background interactions which are obscured by their presence! Our results indicate complexity in the expression of background seismicity along the San Andreas Fault, with criticality being a very likely mechanism as a consequence of the persistent non-equilibrium inferred from the temporal entropic index. However, definite conclusions cannot be drawn until the earthquake record is exhaustively studied in all its forms.  相似文献   

8.
爆发余震与强震关系的统计检验   总被引:8,自引:0,他引:8       下载免费PDF全文
马秀芳  傅丽萍 《地震学报》1991,13(3):273-280
本文按地质构造和地震活动水平,分大华北地区成四个子域.并分析了大华北地区1970——1986年地震目录(其中华北平原子域地震目录为1965——1986年)检测得到爆发余震42次.其中7次发生在强震的余震区,17次发生在震群区.研究其余的18次爆发余震与强震关系,并进行统计检验.结果表明:这18次爆发余震与其后强震发生的随机相遇概率小于6%.用许氏 R 值评分方法估算的爆发余震预报强震的效能大于39%.按照本文给出判定爆发余震的参数,对1987——1988年地震目录进行了外推检验预测.1987——1988年仅有一个爆发余震,即1988年1月6日东北岫岩3.6级地震.它预示1988年1月——1989年1月,东北地区可能有 Ms5.0地震.实际情况是在1988年2月25日,在东北章武地区发生了一次 Ms=5.3地震.另一个实例是在1989年10月18日山西大同——阳高地区发生了一次爆发余震,其后3小时在同一地区也发生了预计的 Ms=6.1地震.以上两例都在实际预报中验证了.爆发余震可能具有一定的预报中强震的能力.   相似文献   

9.
The study of earthquake swarms and their characteristics can improve our understanding of the transient processes that provoke seismic crises. The spatio-temporal process of the energy release is often linked with changes of statistical properties, and thus, seismicity parameters can help to reveal the underlying mechanism in time and space domains. Here, we study the Torreperogil–Sabiote 2012–2013 seismic series (southern Spain), which was relatively long lasting, and it was composed by more than 2000 events. The largest event was a magnitude 3.9 event which occurred on February 5, 2013. It caused slight damages, but it cannot explain the occurrence of the whole seismic crises which was not a typical mainshock–aftershock sequence. To shed some light on this swarm occurrence, we analyze the change of statistical properties during the evolution of the sequence, in particular, related to the magnitude and interevent time distributions. Furthermore, we fit a modified version of the epidemic type aftershock sequence (ETAS) model in order to investigate changes of the background rates and the trigger potential. Our results indicate that the sequence was driven by an aseismic transient stressing rate and that the system passes after the swarm occurrence to a new forcing regime with more typical tectonic characteristics.  相似文献   

10.
本文基于补充遗漏地震事件后的地震目录和修正的大森公式,对2013年7月22日甘肃岷县漳县6.6级地震余震序列时间域衰减特征进行了分析.鉴于主震后短时间内目录遗漏的余震较多,首先利用岷县台连续地震记录波形的高频包络差,检测主震后3h内目录遗漏的地震.经检测在主震后3h内共发现目录遗漏的ML1.0以上地震139个,最大震级为ML3.6.主震后1000s内检测到遗漏地震69个,约为目录给出余震数量的6倍.而后使用补充遗漏地震的目录,基于修正的大森公式分别拟合余震频度和余震地震矩随时间的变化.结果显示拟合p值约为1.07,表明岷县漳县地震余震序列衰减速率与全球平均水平接近,而未补充遗漏地震的频度拟合会造成余震序列衰减速率的低估.利用高频包络差直接计算地震频度曲线,通过三种衰减模式对地震频度曲线拟合参数比较,未观察到岷县漳县地震主震后存在早期余震缺失现象.分析认为,加入遗漏地震可以提高余震频度拟合估计衰减速率结果的准确度和精度,若缺少遗漏地震检测结果,则使用地震矩拟合所得衰减速率结果准确度较优,但需充分考虑其精度上的误差.在分析余震序列衰减特征的实际研究工作中,需根据地震目录完整性选择适当的拟合方法.  相似文献   

11.
According to geological tectonics and seismic activites this paper devided North China (30°–45°N, 105°–130°E) into four areas. We analyzed the North China earthquake catalogue from 1970 to 1986 (from 1965 to 1986 for Huabei, the North China, plain region) and identified forty-two bursts of aftershock. Seven of them occurred in aftershock regions of strong earthquakes and seventeen of them in the seismic swarm regions. The relation between strong earthquakes with the remaining eighteen bursts of aftershocks has been studied and tested statistically in this paper. The result of statistical testing show that the random probabilityp of coincidence of bursts of aftershock with subsequent strong earthquakes is less than six percent. By Xu’sR scoring method the efficacy of predicting strong earthquake from bursts of aftershock is estimated greater than 39 percent. Following the method proposed in the paper we analyzed the earthquake catalogue of China from 1987 to June, 1988. The results show that there was only one burst of aftershock occurred on Jan. 6, 1988 withM=3.6 in Xiuyan of Northeast China. It implicates that a potential earthquake withM S⩽5 might occur in one year afterwards in the region of Northeast China. Actually on Feb. 25, 1988 an earthquake withM S=5.3 occurred in Zhangwu of Northeast China. Another example is Datong-Yanggao shock on October 18, 1989 which is a burst of aftershock. Three hours after an expected shock withM =6.1 took place in the same area. Two examples above have been tested in practical prediction and this shows that bursts of aftershocks are significant in predicting strong earthquakes. The Chinese version of this paper appeared in the Chinese edition ofActa Seismologica Sinica,13, 273–280, 1991. Part of earthquake catalogue is from Jinbiao Chen, Peiyan Chen and Quanlin Li.  相似文献   

12.
张国民 《地震地质》1996,18(1):17-24
前人的工作曾给出大地震的强余震活动持续时间与大地震的重复时间之间存在正变化关系,即较长的余震持续时间对应较长的主震复发时间。应用地震孕育的流变模型,推导了大地震重复时间和大震后余震活动持续时间的数学表达式,并从理论上给出了大震重复时间和其余震持续时间之间的对数正比关系,从而为建立大地震的重复时间和余震持续时间的关系提供了一方面理论依据  相似文献   

13.
2003年云南大姚两次强震破裂区重叠程度的研究   总被引:1,自引:0,他引:1       下载免费PDF全文
地震破裂后,破裂区应变能是否已经充分释放.能否在破裂面内再次发生震级接近的地震,是双主震研究的重要问题.通过对2003年云南大姚两个地震序列的双差定位,发现余震区扩展,但两余震区无论在深度上还是在水平位置上基本不重叠.又通过相对定位的方法,发现7月21日主震位于10月16日主震的北西西方向.此外,还通过P波初动极性分析...  相似文献   

14.
地震破裂区是地震时沿发震断裂带的同震错动面或破裂面在地表的垂直投影区域,指示了震源断层/破裂的位置与尺度。确定过去长期的强震/大地震破裂区是鉴别地震空区、研究与预测强震危险性的重要基础。对于现代强震,破裂区可运用多种现代技术方法确定,但对于历史强震,破裂区确定的方法需要探索与发展。以华北地区为例,研究利用烈度/等震线资料、结合地震构造与震区地表地质环境等信息确定历史强震破裂区的方法,并开展应用试验。结果表明:研究区现代地震破裂区延伸的烈度区间与极震区烈度、震区环境之间存在密切关系,基于这种关系建立了2条经验准则,可分别用于根据烈度分布确定华北2类震区环境(基岩区和厚层第四纪松散堆积覆盖区)历史强震破裂区的位置与延伸。文中还提出通过综合地震构造、现代小震/余震分布等信息,辅助确定历史强震破裂区横向宽度的思路与途径。作为应用试验,文中确定了5次历史地震的破裂区,结果表明本文发展的经验准则及相应方法适用于华北地区历史强震破裂区的确定。  相似文献   

15.
2013年10月31日11时03分,在吉林省松原市前郭尔罗斯蒙古族自治县发生MS5.5级地震,11时10分,震区再发生MS5.0级地震.截止2013年11月23日,吉林前郭-乾安地区(本文统称为前郭-乾安震源区)已经发生MS5.0级以上地震5次.虽然震源区外围中强地震活跃,但在前郭-乾安震源区内,据历史地震资料记载,仅2006年3月31日在距离本次地震序列以西8 km处发生过一次乾安、前郭交界MS5.1级地震.除此之外,距离震源区90 km处,曾于公元1119年2月发生过M6.7级地震.为了更好地认识区域孕震环境,本文利用吉林、辽宁、内蒙古以及黑龙江数字地震台网的三分向宽频带波形资料,建立了适用于这些台站的分区速度结构模型,反演了2013年10月31日-11月23日前郭-乾安震源区ML≥4.5级中强地震的矩张量解.结果显示,几次中强地震均呈现逆断层兼少量走滑性质,其中NW走向的节面Ⅰ为此次中强地震序列的断层面,发震断层的优势走向集中在320°左右,优势倾角分布在38°~65°.根据矩张量反演结果,结合地震序列重新定位(郑钰,待发表)后的空间分布情况,我们推测此次地震序列的发震构造可能是震源区基底深部一条NW向隐伏逆冲断层,这条断层延伸至地表的位置可能位于震源区北侧靠近124°经度隆起带附近.此外,震源区的发震构造和浅部应力场可能是在西太平洋板块俯冲产生的挤压应力场背景下,受控于郯庐断裂带右行走滑的次级应力场.  相似文献   

16.
冯希杰  苏刚 《内陆地震》1993,7(3):225-233
依据地震破裂、地震形变带、前震和余震分布,对中国大陆共轭破裂强震进行了初步研究。结果表明,强震共轭破裂现象较普遍,据资料至少有12个单强震、7个双主震和2个主震——强余震为共轭破裂强震。其共轭破裂特征在地震形变带展布、烈度等震线形态、前震和余震分布等方面表现明显。另外,共轭破裂强震具有共轭破裂面方位之一多为北北西向、双主震之间和主——强余震之间相隔时间为“7”和“9”的节律这2个主要的共同点。  相似文献   

17.
文中根据南北地震带中段及附近区域1973年以来86次5.0级以上的地震序列统计结果,对地震序列类型和空间分布进行分析,结果表明:1)研究区域内的地震序列以主余型为主(51%),多震型次之(29%),孤立型最少(20%);同一序列类型中,随着地震震级增大,主余型地震所占的比例增加,多震型、孤立型逐渐减少,7.0级以上地震以主余型为主,无孤立型地震;对于不同破裂类型,逆冲型地震中主余型最多,多震型地震更可能为走滑和正断性质的地震。2)主余型和多震型地震序列的主震与最大余震震级的线性关系相对较好;绝大多数地震的最大余震多发生在震后20d内,主余型最大余震集中在震后3d内发生,多震型地震中次大地震集中在震后12d内发生,孤立型地震的最大余震多发生在地震当天。3)地震序列空间分布显示,主余型地震分布相对较广,多震型地震主要集中在川西巴塘—理塘、川东马边—昭通一带、川北松潘和滇西北云龙、姚安、龙陵及附近区域,甘孜-玉树断裂带、鲜水河断裂带NW段及四川盆地等地更易发生孤立型地震。4)地震序列类型的空间分布可能与本区域的地质构造和历史地震活动存在一定的关系。  相似文献   

18.
There was an earthquake swarm of two major events of MS6.3 and MS5.8 on the Xianshuihe fault in November, 2014. The two major earthquakes are both strike-slip events with aftershock zone along NW direction.We have analyzed the characteristics of this earthquake sequence. The b value and the h value show the significant variations in different periods before and after the MS5.8earthquake. Based on the data of historical earthquakes, we also illustrated the moderate-strong seismic activity on the Xianshuihe fault. The Kangding earthquake swarm manifests the seismic activity on Xianshuihe fault may be in the late seismic active period. The occurrence of the Kangding earthquake may be an adjustment of the strong earthquakes on the Xianshuihe fault. The Coulomb failure stress changes caused by the historical earthquakes were also given in this article. The results indicate that the earthquake swarm was encouraged by the historical earthquakes since1893, especially by the MS7.5 Kangding earthquake in1955. The Coulomb failure stress changes also shows the subsequent MS5.8 earthquake was triggered by the MS6.3earthquake.  相似文献   

19.
There are two fundamentally different approaches to assessing the probabilistic risk of earthquake occurrence. The first is fault based. The statistical occurrence of earthquakes is determined for mapped faults. The applicable models are renewal models in that a tectonic loading of faults is included. The second approach is seismicity based. The risk of future earthquakes is based on the past seismicity in the region. These are also known as cluster models. An example of a cluster model is the epidemic type aftershock sequence (ETAS) model. In this paper we discuss an alternative branching aftershock sequence (BASS) model. In the BASS model an initial, or seed, earthquake is specified. The subsequent earthquakes are obtained from statistical distributions of magnitude, time, and location. The magnitude scaling is based on a combination of the Gutenberg-Richter scaling relation and the modified Båth’s law for the scaling relation of aftershock magnitudes relative to the magnitude of the main earthquake. Omori’s law specifies the distribution of earthquake times, and a modified form of Omori’s law specifies the distribution of earthquake locations. Unlike the ETAS model, the BASS model is fully self-similar, and is not sensitive to the low magnitude cutoff.  相似文献   

20.
A complete catalog of aftershock sequences is provided for main earthquakes with ML 5.0, which occurred in the area of Greece and surrounding regions the last twenty-seven years. The Monthly Bulletins of the Institute of Geodynamics (National Observatory of Athens) have been used as data source. In order to get a homogeneous catalog, several selection criteria have been applied and hence a catalog of 44 aftershock sequences is compiled. The relations between the duration of the sequence, the number of aftershocks, the magnitude of the largest aftershock and its delay time from the main shock as well as the subsurface rupture length versus the magnitude of the main shock are calculated. The results show that linearity exists between the subsurface rupture length and the magnitude of the main shock independent of the slip type, as well as between the magnitude of the main shock (M) and its largest aftershock (Ma). The mean difference M–Ma is almost one unit. In the 40% of the analyzed sequences, the largest aftershock occurred within one day after the main shock.The fact that the aftershock sequences show the same behavior for earthquakes that occur in the same region supports the theory that the spatial and temporal characteristics are strongly related to the stress distribution of the fault area.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号