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1.
使用横波分裂系统分析方法(SAM), 对2014年5月30日盈江MS6.1地震震区内多个近场流动台站记录到的大量波形数据进行横波分裂研究． 研究结果表明, 盈江MS6.1地震序列的快S波偏振方向为近NS向, 与区域主压应力方向一致． 主震发生后, 由于震源区应力状态的调整, 卡场台(KAC)快S波偏振方向发生逆时针偏转, 勐弄台(MNO)快S波偏振方向离散度减小, 并且由于受到研究区内断裂的影响, MNO台偏振方向较KAC台偏振方向更加离散． KAC台和MNO台的慢S波时间延迟均表现出主震发生前短时间内突然减小, 震后逐渐增大的变化特征, 这意味着临震前震源区地壳应力的释放和震后地壳应力的增强, 预示了后续余震的持续发生． 地震序列时间延迟平均滑动曲线起伏振荡, 表明了余震的发生伴随着震源区地壳应力的不断调整． 相似文献
2.
The paper addresses the collection and analysis of new data on aftershocks that occurred within 20 days of the main shock of the December 7, 1988, Spitak earthquake, Mw = 6.8. The data were used to improve the location of aftershock hypocenters and magnitudes. Available data concerning this 20-day period were the least reliable in terms of completeness, representativeness, and the accuracy of hypocenter location and, in particular, estimation of energy classes and magnitudes. New data were retrieved from the records and bulletins of the seismic stations of the regional and global networks. Hypocenter parameters were determined by means of the minimization of wave travel-time residuals and subsequent double-difference hypocenter relocation. Digital records of the Obninsk and Arti seismic stations (Δ = 15°–18°) and five more distant stations (Δ = 34°–53°) were used to more accurately estimate the surface-wave magnitude of the main shock and strongest aftershock. The aftershock catalog of the Spitak earthquake was substantially revised. First, the previous hypocenter locations (Aref’ev et al., 1991) were improved using the double-difference method; second, new data were retrieved from the bulletins of Caucasian seismic stations. The minimum magnitude of completeness (M c = 1.9) of the new catalog for the first 20 days after the main shock (when there were no epicentral observations) is the same as that for the period from December 7, 1988, to December 31, 1989. The new catalog contains information on 2090 aftershocks with magnitude M = 1.9 and more for the period from December 7, 1988, to December 31, 1989. The double-difference method allowed the location of the epicenters of clustered earthquakes to be reliably estimated with a longitude error of no more than 4.6 km, a latitude error of 4 km, and a depth error of 5 km. The new spatial distribution of the aftershock hypocenters is better correlated with the tectonic setting than the old data. The new catalog can be used to assess seismic hazard after strong earthquakes in the region. 相似文献
3.
An earthquake ofM S=6.9 occurred at the Gonghe, Qinghai Province, China on April 26, 1990. Three larger aftershocks took place at the same region,M S=5.5 on May 7, 1990,M S=6.0 on Jan. 3, 1994 andM S=5.7 on Feb. 16, 1994. The long-period recordings of the main shock from China Digital Seismograph Network (CD-SN) are deconvolved for the source time functions by the correspondent recordings of the three aftershocks as empirical Green’s functions (EGFs). No matter which aftershock is taken as EGF, the relative source time functions (RSTFs) obtained are nearly identical. The RSTFs suggest theM S=6.9 event consists of at least two subevents with approximately equal size whose occurrence times are about 30 s apart, the first one has a duration of 12 s and a rise time of about 5 s, and the second one has a duration of 17 s and a rise time of about 8 s. Comparing the RSTFs obtained from P- and SH-phases respectively, we notice that those from SH-phases are a slightly more complex than those from P-phases, implying other finer subevents exist during the process of the main shock. It is interesting that the results from the EGF deconvolution of long-period wavform data are in good agreement with the results from the moment tensor inversion and from the EGF deconvolution of broadband waveform data. Additionally, the two larger aftershocks are deconvolved for their RSTFs. The deconvolution results show that the processes of theM S=6.0 event on Jan. 3, 1994 and theM S=5.7 event on Feb. 16, 1994 are quite simple, both RSTFs are single impulses. The RSTFs of theM S=6.9 main shock obtained from different stations are noticed to be azimuthally dependent, whose shapes are a slightly different with different stations. However, the RSTFs of the two smaller aftershocks are not azimuthally dependent. The integrations of RSTFs over the processes are quite close to each other, i. e., the scalar seismic moments estimated from different stations are in good agreement. Finally the scalar seismic moments of the three aftershocks are compared. The relative scalar seismic moment of the three aftershocks deduced from the relative scalar seismic moments of theM S=6.9 main shock are very close to those inverted directly from the EGF deconvolution. The relative scalar seismic moment of theM S=6.9 main shock calculated using the three aftershocks as EGF are 22 (theM S=6.0 aftershock being EGF), 26 (theM S=5.7 aftershock being EGF) and 66 (theM S=5.5 aftershock being EGF), respectively. Deducing from those results, the relative scalar sesimic moments of theM S=6.0 to theM S=5.7 events, theM S=6.0 to theM S=5.5 events and theM S=5.7 to theM S=5.5 events are 1.18, 3.00 and 2.54, respectively. The correspondent relative scalar seismic moments calculated directly from the waveform recordings are 1.15, 3.43, and 3.05. 相似文献
4.
An earthquake ofM
S=6.9 occurred at the Gonghe, Qinghai Province, China on April 26, 1990. Three larger aftershocks took place at the same region,M
S=5.5 on May 7, 1990,M
S=6.0 on Jan. 3, 1994 andM
S=5.7 on Feb. 16, 1994. The long-period recordings of the main shock from China Digital Seismograph Network (CD-SN) are deconvolved
for the source time functions by the correspondent recordings of the three aftershocks as empirical Green’s functions (EGFs).
No matter which aftershock is taken as EGF, the relative source time functions (RSTFs) obtained are nearly identical. The
RSTFs suggest theM
S=6.9 event consists of at least two subevents with approximately equal size whose occurrence times are about 30 s apart, the
first one has a duration of 12 s and a rise time of about 5 s, and the second one has a duration of 17 s and a rise time of
about 8 s. Comparing the RSTFs obtained from P- and SH-phases respectively, we notice that those from SH-phases are a slightly
more complex than those from P-phases, implying other finer subevents exist during the process of the main shock. It is interesting
that the results from the EGF deconvolution of long-period wavform data are in good agreement with the results from the moment
tensor inversion and from the EGF deconvolution of broadband waveform data. Additionally, the two larger aftershocks are deconvolved
for their RSTFs. The deconvolution results show that the processes of theM
S=6.0 event on Jan. 3, 1994 and theM
S=5.7 event on Feb. 16, 1994 are quite simple, both RSTFs are single impulses.
The RSTFs of theM
S=6.9 main shock obtained from different stations are noticed to be azimuthally dependent, whose shapes are a slightly different
with different stations. However, the RSTFs of the two smaller aftershocks are not azimuthally dependent. The integrations
of RSTFs over the processes are quite close to each other, i. e., the scalar seismic moments estimated from different stations
are in good agreement.
Finally the scalar seismic moments of the three aftershocks are compared. The relative scalar seismic moment of the three
aftershocks deduced from the relative scalar seismic moments of theM
S=6.9 main shock are very close to those inverted directly from the EGF deconvolution. The relative scalar seismic moment of
theM
S=6.9 main shock calculated using the three aftershocks as EGF are 22 (theM
S=6.0 aftershock being EGF), 26 (theM
S=5.7 aftershock being EGF) and 66 (theM
S=5.5 aftershock being EGF), respectively. Deducing from those results, the relative scalar sesimic moments of theM
S=6.0 to theM
S=5.7 events, theM
S=6.0 to theM
S=5.5 events and theM
S=5.7 to theM
S=5.5 events are 1.18, 3.00 and 2.54, respectively. The correspondent relative scalar seismic moments calculated directly from
the waveform recordings are 1.15, 3.43, and 3.05.
Contribution No. 96B0007, Institute of Geophysics, SSB, China. 相似文献
5.
By analysing long- and short-term seismological measurements at wind farms close to the town of Landau, SW Germany, we present new insights into ground motion signals from wind turbines (WTs) at local seismic stations. Because of their need to be located in similar regions with sparsely anthropogenic activities, wind turbines impact seismic stations and their recordings in a way that is not yet fully understood by researchers. To ensure the undisturbed recording tasks of a regional seismic array or a single station by a protected area around those endangered stations, it is very important to investigate the behavior of WTs as a seismic source. For that reason, we calculate averaged one-hour long spectra of the power spectral density (PSD) before and after the installation of a new wind farm within the investigated area. These PSD are ordered according to the rotation speed. We observe a clear increase of the PSD level after the WT installation in a frequency range of 0.5 to 10 Hz up to a distance of 5.5 km away from the WT. By analysing seismic borehole data, we also observe a decrease of the PSD of wind dependent signals with depth. The impact of wind-dependent signals is found to be much more pronounced for the shallower station (150 m depth) than for the deeper one (305 m depth). Using short-term profile measurements, we fit a power-law decay proportional to 1/r b to the main WT-induced PSD peaks and differentiate between near-field and far-field effects of ground motions. For low frequencies in the range from 1 to 4 Hz, we determine a b value of 0.78 to 0.85 for the far field, which is consistent with surface waves. The b value increases (up to 1.59) with increasing frequencies (up to 5.5 Hz), which is obviously due to attenuating effects like scattering or anelasticity. These results give a better understanding of the seismic wavefield interactions between wind turbines (or wind farms) with nearby seismic stations, including borehole installations, in a sedimentary setting. 相似文献
6.
2016年1月21日01时13分13.0秒（北京时间）,青海省海北州门源县发生MS6.4地震.为了更好地认识这次地震的发震构造,本文利用青海省地震台网和甘肃省地震台网的省级固定地震台站及部分流动地震台站记录到的波形资料,通过重新拾取震相和联合HYPOINVERSE 2000与HypoDD定位方法,对2016年1月21日青海门源地震序列ML≥1.8的189个地震事件进行了重新定位,并采用gCAP方法分别反演了主震的双力偶机制解和全矩张量解. 定位结果显示,主震位置为37.67°N、101.61°E,震源深度为11.98 km;余震序列展布方向为SE和NW两个方向、长度约16 km,震源深度优势分布为4~14 km,断层面倾向为SW方向. 利用gCAP方法得到的矩心深度在8~9 km之间. 结合野外地质调查结果,认为该次地震事件为一次逆冲型事件,其发震断层可能为北西向冷龙岭断裂与北西向民乐—大马营断裂之间的一条盲断层,推测由于印度板块与欧亚板块的碰撞挤压使得青藏高原北缘与阿拉善地块之间的东西向挤压而造成的断层应力失稳,从而形成门源地震. 相似文献
7.
We propose to use waveform cross correlation techniques for seismic monitoring of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) by proving the ability to build the Global Grid (GG) of master events using high-quality waveform templates at stations of the International Monitoring System. In seismically active regions, the choice of the highest quality and most representative signals from earthquakes as templates for master events is straightforward and one can reduce the current amplitude detection threshold at the International Data Centre (IDC) by a factor of 2 to 3. This gain practically doubles the number of built events, and thus, is crucial for seismic monitoring under the CTBT. However, the coverage by real masters is confined to areas with natural seismicity. Here, we investigate the possibility to populate the GG with real and synthetic master events as a two part study. In Part I, we estimate the effectiveness of cross correlation based on a regular grid filled with grand-master events with replicated high-quality waveform templates.In Part II, we develop and estimate efficiency of synthetic waveform templates for aseismic zones. Both approaches are quantitatively tested using the aftershock sequence of the April 11, 2012 Sumatera earthquake. The cross correlation bulletin previously built using sixteen real master events is a natural benchmark to evaluate the performance of the replicated masters and synthetic waveforms. In Part I, we prove that the replicated grand masters demonstrate the performance at the level of real masters. The Primary IMS Seismic Network includes many array stations, which provide a higher resolution monitoring based on cross correlation. 相似文献
8.
IntroductionA large earthquake occurred in Jiji (Chi-Chi) town of Nantou County, Taiwan, China at 17h47min on September 20, 1999 (UTC). The origin time was determined to be 17h47min19s of September 20 UTC (1h47min19s of September 21, Beijing Time). The epicenter was determined to be longitude 120.80°E and latitude 23.86°N. It was reported that 2 333 people were killed, 10 002 people were injured, and thousands of houses collapsed which made more than 100 000 people homeless (Shin, e… 相似文献
9.
The geographical area where a seismic event of magnitude M?≥?M t is detected by a seismic station network, for a defined probability is derived from a station probability of detection estimated as a function of epicentral distance. The latter is determined from both the bulletin data and the waveforms recorded by the station during the occurrence of the event with and without band-pass filtering. For simulating the real detection process, the waveforms are processed using the conventional Carl Johnson detection and association algorithm. The attempt is presented to account for the association time criterion in addition to the conventional approach adopted by the known PMC method. 相似文献
10.
利用紫坪铺水库专用地震台站和加密地震台站资料,使用双差法完成了震前930次地震、汶川8级主震和5, 789次余震的重新定位,探讨了紫坪铺水库与汶川地震之间的关系,获得了有利于证明它们之间密切关联的事实: 1)紫坪铺水库2005年蓄水之后出现了水磨、深溪沟和都江堰震群,地震应变能释放增加了200%,与库水位变化密切相关,在汶川地震前呈现出加速释放的现象; 2)野外调查表明存在1条贯穿紫坪铺水库库区、走向NE的同震地表破裂带,与中滩铺断层位置一致; 3)余震分布以中滩铺断层为界,西北上盘多,东南下盘少; 4)利用P波初始到时重新确定出的汶川主震发震时刻为27分59.5秒,初始破裂深度在6～9km左右,直接位于水磨震群之下; 5)汶川主震与发生在2008年4月5日水磨震群中的1次小震的各个台站到时差相同。 相似文献
11.
A large earthquake (M
W=7.6) occurred in Jiji (Chi-Chi), Taiwan, China on September 20, 1999, and was followed by many moderate-size shocks in the
following days. Two of the largest aftershocks with the magnitudes of M
W=6.1 and M
W=6.2, respectively, were used as empirical Green’s functions (EGFs) to obtain the source time functions (STFs) of the main
shock from long-period waveform data of the Global Digital Seismograph Network (GDSN) including IRIS, GEOSCOPE and CDSN. For
the M
W=6.1 aftershock of September 22, there were 97 pairs of phases clear enough from 78 recordings of 26 stations; for the M
W=6.2 aftershock of September 25, there were 81 pairs of phases clear enough from 72 recordings of 24 stations. For each station,
2 types of STFs were retrieved, which are called P-STF and S-STF due to being from P and S phases, respectively. Totally,
178 STF individuals were obtained for source-process analysis of the main shock. It was noticed that, in general, STFs from
most of the stations had similarities except that those in special azimuths looked different or odd due to the mechanism difference
between the main shock and the aftershocks; and in detail, the shapes of the STFs varied with azimuth. Both of them reflected
the stability and reliability of the retrieved STFs. The comprehensive analysis of those STFs suggested that this event consisted
of two sub-events, the total duration time was about 26 s, and on the average, the second event was about 7 s later than the
first one, and the moment-rate amplitude of the first event was about 15% larger than that of the second one.
Foundation item: State Natural Science Foundation of China (49904004) and IPGP of France.
Contribution No. 02FE2007, Institute of Geophysics, China Seismological Bureau. 相似文献
12.
Through the analysis of S-wave particle motion of local events in the shear wave window, the polariza-tion directions of the faster shear wave and the delay times between the faster and the slower shear waves were derived from seismic recordings at the stations near the fault zones. The shear wave split-ting results of seven stations in the area of Longmenshan fault zone reveal spatial variation of the po-larization directions of the fast shear wave. The directions at stations in the southeastern side of the Longmenshan fault zone (in the Sichuan Basin area) are in the NE direction, whereas the direction at station PWU (in the Plateau), which is in the northwestern side of the faults, is in the EW direction. Systematic changes of the time delays between two split shear waves were also observed. At station L5501 in the southern end of the aftershock zone, the delay times of the slower shear wave decrease systematically after the main shock. After the main shock, the delay times at station PWU were longer than those before the earthquake. Seismic shear wave splitting is caused mostly by stress-aligned microcracks in the rock below the stations. The results demonstrate changes of local stress field dur-ing the main-shock and the aftershocks. The stress in the southern part of Wenchuan seismogenic zone was released by the main-shock and the aftershocks. The crustal stresses were transferred to the northeastern part of the zone, resulting in stress increase at station PWU after the main-shock. 相似文献
13.
A. Nakamura A. Hasegawa N. Hirata T. Iwasaki H. Hamaguchi 《Pure and Applied Geophysics》2002,159(6):1183-1204
—?We attempt to detect temporal variations of seismic wave velocity before and after 1998 M6.1 Shizukuishi, northeastern Japan, earthquake by using waveform data from explosions and earthquake doublets spanning the period immediately before and after the earthquake. Direct P waves of the second explosion are delayed by ～20 ms at observation stations with epicentral distances less than 15 km. This tendency does not change if the analysis frequency band is changed. Our result suggests that the P-wave velocity decreased by at least 1% in the extremely shallow region of the hanging wall of the M6.1 thrust event after its occurrence. On the other hand, there was the frequency dependence of the coda wave delays for both artificial sources and for natural events. At 5–10 Hz, immediate sharp increases by more than 20 ms in time delays and lower coherency were observed at several stations. We estimated the region in which P-wave velocity might have decreased after the M6.1 earthquake. Maximum depth of the region is 13 km. The region includes the aftershock area of the M6.1 earthquake, but is eccentric to the earthquake in the west. Considering the frequency band analyzed (5–10 Hz), the scale of the spatial inhomogeneity which led to the coda wave delay is several hundreds meters. We investigated candidates for the cause of the direct P-wave and coda wave delay. Observed direct P-wave delay can be partly explained by the stress changes caused by coseismic fault slip. However, the coda wave delay cannot be explained by the stress changes that are limited to the superficial area. Crustal heterogeneity should have changed at coseismic time in the deeper area where aftershocks of the M6.1 earthquake occurred. 相似文献
14.
Perspectives of Cross-Correlation in Seismic Monitoring at the International Data Centre 总被引：1，自引：0，他引：1
We demonstrate that several techniques based on waveform cross-correlation are able to significantly reduce the detection threshold of seismic sources worldwide and to improve the reliability of arrivals by a more accurate estimation of their defining parameters. A master event and the events it can find using waveform cross-correlation at array stations of the International Monitoring System (IMS) have to be close. For the purposes of the International Data Centre (IDC), one can use the spatial closeness of the master and slave events in order to construct a new automatic processing pipeline: all qualified arrivals detected using cross-correlation are associated with events matching the current IDC event definition criteria (EDC) in a local association procedure. Considering the repeating character of global seismicity, more than 90 % of events in the reviewed event bulletin (REB) can be built in this automatic processing. Due to the reduced detection threshold, waveform cross-correlation may increase the number of valid REB events by a factor of 1.5–2.0. Therefore, the new pipeline may produce a more comprehensive bulletin than the current pipeline—the goal of seismic monitoring. The analysts’ experience with the cross correlation event list (XSEL) shows that the workload of interactive processing might be reduced by a factor of two or even more. Since cross-correlation produces a comprehensive list of detections for a given master event, no additional arrivals from primary stations are expected to be associated with the XSEL events. The number of false alarms, relative to the number of events rejected from the standard event list 3 (SEL3) in the current interactive processing—can also be reduced by the use of several powerful filters. The principal filter is the difference between the arrival times of the master and newly built events at three or more primary stations, which should lie in a narrow range of a few seconds. In this study, one event at a distance of about 2,000 km from the main shock was formed by three stations, with the stations and both events on the same great circle. Such spurious events are rejected by checking consistency between detections at stations at different back azimuths from the source region. Two additional effective pre-filters are f–k analysis and F prob based on correlation traces instead of original waveforms. Overall, waveform cross-correlation is able to improve the REB completeness, to reduce the workload related to IDC interactive analysis, and to provide a precise tool for quality check for both arrivals and events. Some major improvements in automatic and interactive processing achieved by cross-correlation are illustrated using an aftershock sequence from a large continental earthquake. Exploring this sequence, we describe schematically the next steps for the development of a processing pipeline parallel to the existing IDC one in order to improve the quality of the REB together with the reduction of the magnitude threshold. 相似文献
15.
使用汇集在四川台网中心的固定台站、震后架设的流动台站、周边水库台站等震中距150 km以内的震相数据,选用分层速度模型,对芦山7.0级地震及震后9天内的余震利用双差定位法进行了重新定位.给出了芦山7.0级地震的发震时刻为2013-04-20 08:02:46.8,震中位置30.278°N,102.989°E,震源深度16.67 km,给出了3324次余震的双差定位结果,并对发震构造进行了分析.结果表明:芦山地震主破裂长度约40 km,下倾宽度约20 km,破裂视面积约800 km2,主破裂沿南西走向,倾角约40°.余震震源优势深度为10~22 km.余震沿南西走向,主要集中于大邑-名山断裂上盘. 相似文献
16.
We present a new visualization method for human inspection of seismic data called supersonograms, which maximizes the amount of time and stations visible on screen while retaining the possibility to detect short and low-signal to noise ratio (SNR) signals. This visualization approach is integrated into a seismological software suite used in the seismic aftershock monitoring system (SAMS) of Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) on-site inspections (OSI) to detect suspicious events eventually representing aftershocks from an underground nuclear explosion (UNE). During an OSI, huge amounts of continuous waveform data accumulate from up to 50 six-channel mini-arrays covering an inspection area of 1,000 square kilometers. Sought-after events can have magnitude as low as $\hbox{M}_{\rm L}\,{-2.0}$ and duration of just a few seconds, which makes it particularly hard to discover them in large, noisy datasets. Therefore, the data visualization is based on nonlinearly scaled, noise-adapted spectrograms, i.e., sonograms, which help to distinguish weak signal energy from stationary background noise. Four single-trace sonograms per mini-array can be combined into supersonograms, since the array aperture is small and sonograms suppress differences of local site noise, allowing an analyst to check array-wide signal coherence quickly. In this paper, we present the supersonograms and the software on the basis of a dataset from a creeping, inhabited landslide in Austria where the same station layout is used as in an OSI. Detected signals are fracture processes in the sedimentary landslide, i.e., slidequakes, with $\hbox{M}_{\rm L}\,{-0.5} \,\hbox{\,to}\,{-2.5}$ between July 2009 and July 2011. These signals are comparable in magnitude and duration to expected weak UNE aftershocks. 相似文献
17.
G. A. Sobolev N. A. Zakrzhevskaya D. G. Sobolev 《Izvestiya Physics of the Solid Earth》2016,52(2):155-172
Based on the analysis of the world’s earthquakes with magnitudes M ≥ 6.5 for 1960–2013, it is shown that they cause global-scale coherent seismic oscillations which most distinctly manifest themselves in the period interval of 4–6 min during 1–3 days after the event. After these earthquakes, a repeated shock has an increased probability to occur in different seismically active regions located as far away as a few thousand km from the previous event, i.e., a remote interaction of seismic events takes place. The number of the repeated shocks N(t) decreases with time, which characterizes the memory of the lithosphere about the impact that has occurred. The time decay N(t) can be approximated by the linear, exponential, and powerlaw dependences. No distinct correlation between the spatial locations of the initial and repeated earthquakes is revealed. The probable triggering mechanisms of the remote interaction between the earthquakes are discussed. Surface seismic waves traveling several times around the Earth’s, coherent oscillations, and global source are the most preferable candidates. This may lead to the accumulation and coalescence of ruptures in the highly stressed or weakened domains of a seismically active region, which increases the probability of a repeated earthquake. 相似文献
18.
Kracke D. Heinrich R. Hemmann A. Jentzsch G. Ziegert A. 《Studia Geophysica et Geodaetica》2000,44(4):594-601
The East Thuringian Seismic Network (OTSN) was installed in 1997. It started its operation with five and now consists of six seismic stations, the GRSN (German Regional Seismic Network) station MOX and a control and analysis centre. All stations are equipped with 3-component GÜRALP and short-period seismometers, RefTek 24-bit data acquisition systems (dynamic range 23.5 bit), hard disks, GPS-receivers, modems and communication computers for dial-up purposes. The seismic signals are sampled at 100 Hz and stored on the hard disk. Simultaneously, the signals are processed by a STA/LTA detector which generates an extended event list. The central station calls these event lists once per day, analyses them, produces a list of real seismic events and calls the waveform data for these events only from the single stations. All stations operate completely autonomously and the whole system works automatically, but all operations can also be carried out interactively. The event analysis is performed manually using common seismic analysis programs.
The main purpose of installing the seismic network is to investigate the local seismicity, its relation to recent tectonics, the stress field and structure of the upper crust in order to render more precisely the seismic hazard of East Thuringia. A further aim of the network is to improve the seismic monitoring situation for the neighbouring regions, especially the Vogtland/Northern Bohemia and the Western Saxony area. 相似文献
19.
A MS8.0 earthquake occurred in Wenchuan County, Sichuan Province, China, on May 12, 2008, and subsequently, numerous aftershocks followed. We obtained the moment tensor solutions and source time functions (STFs) for the Wenchuan earthquake and its seven larger aftershocks (MS5.0～6.0) by a new technique of moment tensor inversion using the broadband and long-period seismic waveform data from the Global Seismic Network (GSN). Firstly, the theoretical background and technical flow of the new technique was briefly introduced, and an aftershock of the Wenchuan earthquake sequence was employed to illustrate the real procedure for inverting the moment tensor; secondly, the moment tensor solutions and STFs of the eight events, including the main shock, were presented, and finally, the interpretation of the results was made. The agreement of our results with the GCMT results indicates the new approach is efficient and feasible. By using this approach, not only the moment tensor solution can be obtained but also the STF can be retrieved; the inverted STFs indicate that the source rupture process may be complicated even for the moderate earthquakes. The inverted focal mechanisms of the Wenchuan earthquake sequence show that the most of the aftershocks occurred in the main faults of the Longmenshan fault zone with predominantly thrustingwith minor right-lateral strike-slip component, but some of them may have occurred in the subfaults with strike-slip faulting in the vicinity of the main faults. 相似文献
20.
利用西藏自治区林芝地区的固定地震台站与南迦巴瓦流动测震台站在2017年11月18日至2017年11月24日记录到的430个余震的直达波走时数据反演得到了震源区的三维P波速度、S波速度结构,并利用三维速度结构对余震进行了重定位.成像结果显示,米林地震震源区在0~5km深度内存在低地震波速度异常;在5~15km深度内,存在高地震波速度异常,该高速异常致使震源区西南侧的地震波速度高于东北侧.重定位结果中,余震呈条带状以NW-SE走向展布,震源深度具有西南方向深、东北方向浅的特征.主震位于11km深度处、高地震波速异常体顶部,余震主要分布在高地震波速度与低地震波速度过渡的区域.对成像结果的分析表明,震源区浅部的低速异常具有低泊松比的特性,与富石英的沉积变质杂岩体-东久杂岩单元的岩性特征有关;深部的速度结构特征则可能反映了发震断层上盘地震波速度高,下盘地震波速度低的介质特性.余震重定位结果与成像结果联合表明:此次地震发震断层从11km深度处,东久杂岩体下方的高地震波速度异常顶部开始破裂,继而在5~15km深度内发生后续破裂,后续破裂的发生区域正处于喜马拉雅构造单元与冈底斯构造单元接触的形变区内.此外,根据地震波速度计算的泊松比反映了震源区持续的低泊松比特征,暗示此次地震与流体活动并无直接关系. 相似文献