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2003年云南大姚6.2级、6.1级地震中短期地震学异常演化特征 总被引：1，自引：0，他引：1
通过对2003年云南大姚6．2级、6．1级地震中短期地震学特征的分析和初步研究，认为大姚地震孕育过程中的短期阶段，震中附近的地震学异常以中小地震活动增强为主，表现为震区附近中小地震频度增加，4级震群活动、A值、GL值出现异常，同时震源深度加深等；在由中期向短期过渡的过程中，震源区异常消失相对平静，使多种地震学异常收缩至震源区附近；地震孕育进入短临阶段，震中附近地区再次出现了3～4级小震活动增强的特征，云南省地震活动出现向震中附近迁移的趋势。整个孕震过程，地震活动体现了活动-平静-活动的动态演化特征。 相似文献
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分析了地震活动增强特征参数W1与相应其它参数的关系以及在一些6级左右地震前W1值的动态图像变化。结果表明中强以上地震前的地震活动“增强”通常表现为在强度上的增高、时间和空间上的丛集以及强度增高与时空丛集同时出现3种方式。一些6级左右地震前W1值动态图像变化表明地震过程往往表现为多应力集中区相互作用和影响的演变过程。 相似文献
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2022年1月8日青海省海北州门源县发生MS6.9地震,震中距离2016年1月21日门源MS6.4地震震中约33km,两次门源地震均发生在冷龙岭断裂附近,但在震源机制、主发震断层破裂过程及地震序列余震活动等方面显著不同。针对两次门源地震序列的比较分析,对研究冷龙岭断裂及其附近区域强震序列和余震衰减特征等具有重要研究意义。通过对比分析2022年门源MS6.9地震和2016年门源MS6.4地震余震的时空演化特征,发现二者在震源过程和断层破裂尺度上存在明显差异,前者发震断层破裂充分,震后能量释放充分,余震丰富且震级偏高;而后者发震断层未破裂至地表,余震震级水平偏低。综合分析两次门源地震序列表现出来的差异性,认为其可能与地震发震断层的破裂过程密切相关,且同时受到区域构造环境的影响。 相似文献
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云南地区强震前中小地震活跃—平静的定量计算 总被引：1，自引：0，他引：1
以累计频度定量计算方法 ,讨论了云南地区 1970年以来 ,各个强震孕震区的地震活动非线性度ZL值的时间进程曲线 ,系统计算了Ms≥ 6 3级强震前的ZL值曲线 ,结果表明 :强震前地震活动非线性度ZL值异常表现出的地震孕震区的地震平静—活跃或活跃—平静过程至少出现一次 ,且震例中的 83 %开始出现平静(活跃 )的时间为强震前 1～ 2 12 年 ,强震前半年左右结束出现活跃 (平静 )。 相似文献
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1996年11月9日南黄海6.1级地震前的地震活动异常 总被引：1，自引：0，他引：1
１９９６年１１月９日在南黄海海域发生了６．１级地震。该地震前自１９９３年直震中周围区域的地震活动明显增强、小震群活跃，出现孕震空区及一些地震活动指标的中期异常。１９９５年８月后该区地震活动的出现明显平静。这次地震前的地震活动异常是明显的。 相似文献
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IntroductionEarthquakepredictionisamainobjectiveintraditionalseismicitystUdy,whichistoattempttofindsomecriterionofprecursoryearthquakeactivitybycomparingdifferentpatternsofseismicityinhopesofpredictingoccurrenceofamajorshock.Theresultisoftendisappointing.Preearthquakeactivitiescandiffergreatlyforimpendingearthquake,althoughalltheruptureprocessesoflargeearthquakesareessentiallythesameasfarasweknowsofar.Asalreadydiscussedintheresultofresearchonseismicityevolution(Gu,Sun,1992),theself-enlargeme… 相似文献
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利用极限时间法对云南省1970年以来Ms≥6．5 11组强地震进行h′值计算,结果显示：11组强震前出现h′值异常,表现为不同程度的大幅(平均减幅达28％)突然减小现象,即地震活动出现异常平静的现象,可成为地震预报意见的关键指标;强震前出现8次地震活动增强一平静一主震的发震模式,占73％,出现3次增强一平静一增强(短期内)一主震的发震模式,占23％;h′值量板图对强震前的地震活动平静和地震活动增强现象展现得较为清晰;通过对11组强震进行预测,预测时间约为5个月。 相似文献
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从描述未来地震趋势的各种地震活动指标入手，在求得各样本组判别函数的基础上，由贝叶斯模型计算了不同时间尺度的地震活动性参数对未来地震趋势的概率判断结果。结果表明，在华北地区，地震活动性指标可以较早地反映地震孕育过程，所以，对地震活动性指标 提高预报准确性的可行途径之一。 相似文献
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Pakistan and the western Himalaya is a region of high seismic activity located at the triple junction between the Arabian, Eurasian and Indian plates. Four devastating earthquakes have resulted in significant numbers of fatalities in Pakistan and the surrounding region in the past century (Quetta, 1935; Makran, 1945; Pattan, 1974 and the recent 2005 Kashmir earthquake). It is therefore necessary to develop an understanding of the spatial distribution of seismicity and the potential seismogenic sources across the region. This forms an important basis for the calculation of seismic hazard; a crucial input in seismic design codes needed to begin to effectively mitigate the high earthquake risk in Pakistan. The development of seismogenic source zones for seismic hazard analysis is driven by both geological and seismotectonic inputs. Despite the many developments in seismic hazard in recent decades, the manner in which seismotectonic information feeds the definition of the seismic source can, in many parts of the world including Pakistan and the surrounding regions, remain a subjective process driven primarily by expert judgment. Whilst much research is ongoing to map and characterise active faults in Pakistan, knowledge of the seismogenic properties of the active faults is still incomplete in much of the region. Consequently, seismicity, both historical and instrumental, remains a primary guide to the seismogenic sources of Pakistan. This study utilises a cluster analysis approach for the purposes of identifying spatial differences in seismicity, which can be utilised to form a basis for delineating seismogenic source regions. An effort is made to examine seismicity partitioning for Pakistan with respect to earthquake database, seismic cluster analysis and seismic partitions in a seismic hazard context. A magnitude homogenous earthquake catalogue has been compiled using various available earthquake data. The earthquake catalogue covers a time span from 1930 to 2007 and an area from 23.00° to 39.00°N and 59.00° to 80.00°E. A threshold magnitude of 5.2 is considered for K-means cluster analysis. The current study uses the traditional metrics of cluster quality, in addition to a seismic hazard contextual metric to attempt to constrain the preferred number of clusters found in the data. The spatial distribution of earthquakes from the catalogue was used to define the seismic clusters for Pakistan, which can be used further in the process of defining seismogenic sources and corresponding earthquake recurrence models for estimates of seismic hazard and risk in Pakistan. Consideration of the different approaches to cluster validation in a seismic hazard context suggests that Pakistan may be divided into K?=?19 seismic clusters, including some portions of the neighbouring countries of Afghanistan, Tajikistan and India. 相似文献
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S. A. Shapiro R. Patzig E. Rothert J. Rindschwentner 《Pure and Applied Geophysics》2003,160(5-6):1051-1066
— We consider various cases of seismicity, induced by artificial fluid injections in boreholes. Like many other authors, we support the hypothesis that to a large extent the triggering of this seismicity is caused by a diffusive process of the pore pressure relaxation in porous (or fractured), saturated rocks. We show that if this hypothesis is correct, then the spatio-temporal distributions of the seismic events must have several specific features related to the effective permeability of the rock. As a rule the fluid injection-induced seismicity obeys such features. These features can be indications of the diffusive and even hydraulic nature of the seismicity triggering process.¶From this point of view we analyze the spatio-temporal distribution of the late aftershocks of the Antofagasta (northern Chile) 1995 earthquake. These aftershocks were concentrated in a plane, an approximately 3 km-thick spatial zone. This thin seismogenic layer is a part of the South American subduction zone. The time-distance distribution of the aftershocks along this layer indicates that they could be triggered by a diffusion-like process. Possibly, such a process is the relaxation of the pressure perturbation caused in the pore fluid by the main Antofagasta event. We estimated the permeability required to explain the spatio-temporal distribution of the aftershocks by such a triggering mechanism. The obtained value, 60 mD, is very large. However, it is realistic for a long-time existing and large-scale fault zone. 相似文献
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2022年9月5日四川泸定发生M6.8地震,为研究泸定地震孕震区的应力变化,选取b值、小震调制比和丛集率这3个参数,对泸定地震前的区域地震活动状态进行计算研究。结果显示:泸定及周边区域几次强震发生前,区域地震活动均存在持续时间较长的低b值时段,且在低b值状态下震前短期内出现小震高丛集、高调制比的现象;鲜水河断裂带的地震活动状态分析显示,此次泸定地震前该断裂带存在持续时间近10个月的低b值状态,且短期内出现丛集率升高、调制比高值现象。通过对比分析,认为泸定地震是鲜水河断裂带构造运动的结果。综合分析认为,结合应力场背景和构造条件研究地震活动b值、固体潮调制比和丛集率的时空变化有助于理解大地震的孕育演化过程。 相似文献
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以构造块体成组孕震模型为基础,讨论了孕震系统在局部孕震体强度发生变化时整个系统中的地震活动性变化特征。分析了岩石介质强度在其正常背景下发生弱化和强化后,孕震系统中各地震带上地震活动的时、空、强分布特征。结果表明,在外界影响（即边界动力作用）不变的情况下,不论是系统局部发生弱化还是强化,强度变化不仅影响到发生变化的地区中的地震活动性,而且对与其相连的地区及系统内其它没有发生变化的地震带上的地震活动都有强烈的影响 相似文献
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华北地区近年来小震群活动频繁, 在有数字波形记录的中强地震相对缺乏的背景下, 小震群发震构造精细研究可为华北地区地震危险性分析和地震趋势判断提供重要依据. 本文利用匹配滤波技术对2013年8月22—25日河北蔚县小震群遗漏地震事件进行检测, 并通过地震精定位和震源机制求解分析此次震群的发震构造. 计算结果显示, 通过互相关扫描检测到18次被地震台网常规分析遗漏的地震, 约为地震目录给出的13次地震事件的1.38倍. 该震群发震构造有北东向和北西向两组断裂, 震群活动前期以北东向构造活动为主, 后期地震主要发生在北西向构造, 北西向构造在此次震群活动中地震频度和强度均高于北东向构造. 震源机制计算结果显示北西向构造发震机制以正断拉张为主. 相似文献
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本文对陕、甘、宁、青四省(区)地震活动性指数A_(N-W)(b)、兰州地磁台记录的磁暴活动性指数K(b)和太阳黑子相对数年均值R(N)进行统计分析,得出了太阳活动和地震以及磁暴活动均存在约21年、11年、5年、3年和2年左右的显著周期。它们的互相关幅度和交互谐幅度也表明,在上述显著周期内三者存在明显的相关性。理想低通滤波后的SC型磁暴K(b)和A_(N-W)(b)间的相关系数高达0.886。根据分析本文指出,陕、甘、宁、青四省(区)地震活动在以后五年内还会继续增强。最后就太阳活动和磁暴与地震的发生的关系作了讨论。 相似文献
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L.B. Christiansen S. Hurwitz S.E. Ingebritsen 《Earth and Planetary Science Letters》2005,240(2):307-321
We examine 20-yr data sets of seismic activity from 10 volcanic areas in the western United States for annual periodic signals (seasonality), focusing on large calderas (Long Valley caldera and Yellowstone) and stratovolcanoes (Cascade Range). We apply several statistical methods to test for seasonality in the seismic catalogs. In 4 of the 10 regions, statistically significant seasonal modulation of seismicity (> 90% probability) occurs, such that there is an increase in the monthly seismicity during a given portion of the year. In five regions, seasonal seismicity is significant in the upper 3 km of the crust. Peak seismicity occurs in the summer and autumn in Mt. St. Helens, Hebgen Lake/Madison Valley, Yellowstone Lake, and Mammoth Mountain. In the eastern south moat of Long Valley caldera (LVC) peak seismicity occurs in the winter and spring. We quantify the possible external forcing mechanisms that could modulate seasonal seismicity. Both snow unloading and groundwater recharge can generate large stress changes of > 5 kPa at seismogenic depths and may thus contribute to seasonality. 相似文献