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2004年苏门答腊地震后, 不同学者根据不同观测数据(地震波、 GPS), 得到了此次地震的断层滑动模型。 反演过程中使用半无限空间模型时, 无法利用远场观测数据进行约束, 势必影响远场形变的解释。 基于Hoechner等使用的断层几何模型和GPS同震位移数据, 本研究利用球体位错理论反演方法反演了2004年苏门答腊地震断层滑动模型, 得到的矩震级为9.24, 最大滑移量为30.4 m, 由于考虑了曲率的效应, 该模型在远场同震位移的计算结果与GPS数据吻合较好。 然后, 选取了2001—2004年和2004—2007年两期的GPS水平位移速度场, 研究2004年苏门答腊地震对华南地区地壳水平活动的影响, 从两期的GPS水平位移速度场差异可以看出地震后华南块体有向西南方向的运动趋势, 华南块体受到此次地震明显的震后影响。 最后, 基于反演得到的断层模型, 利用Tanaka等提出的粘弹性球体位错理论对华南块体两期GPS水平位移速度场差异进行模拟, 得到华南块体内部粘滞性系数为2×1019 Pa·s, 当考虑地幔粘滞性松弛效应后, 两期的速度场差异的均方根值由3.2 mm减少为1.9 mm。 可见在研究2004年前后中国大陆GPS水平位移速度场时, 若继续以华南块体为基准, 需考虑此次地震的地幔粘滞性松弛效应。 相似文献
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2021年5月22日,中国青海玛多县发生了MW7.5地震.针对此次地震,国内外多家机构发布的震源机制解和有限断层滑动模型结果大都是基于半无限空间地球模型的位错理论反演得到的,未考虑地球曲率和层状效应的影响.该影响的量级以及其是否可以忽略目前仍是一个未知问题,值得研究.为此,本文利用美国地质调查局(USGS)、中国科学院青藏高原研究所以及中国地震局地球物理研究所提供的三个断层模型,基于弹性半无限空间、均质球、PREM三种地球模型的位错理论,分别计算了地表同震位移场和应变场,并对比分析了这些结果的差异.我们发现基于PREM位错理论的同震位移场与半无限空间模型的对应值差异约为3~28 cm,占PREM位错理论值的10%~30%,应变场差异更大,表明地球曲率和层状效应的影响不可忽略.此外,理论同震形变结果与GNSS和InSAR形变观测数据对比发现,基于PREM模型的理论位移场最接近于观测值.利用InSAR数据和三种地球模型反演得到的有限断层滑动模型存在差异,说明了地球模型的选择对断层模型的反演具有一定影响.本文的结果为今后对此次地震的观测数据物理解释和断层滑动反演提供了理论参考. 相似文献
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2021年5月22日,青海省玛多县发生了 7.4级地震,该地震发生在巴颜喀拉地块北部边界东昆仑断裂带以南约70 km,属于块体内部断裂带地震.根据中国大陆构造环境监测网络提供资料,距离震源30多公里的玛多台站记录到东西向永久位移约25 cm.同时,InSAR也观测到明显的形变场,升轨和降轨的最大相对形变量分别约1.87 m和2.32 m.为了解释这些大地测量观测数据,本文利用该地震的三个断层滑动模型,基于不同地球模型的地震位错理论,计算同震变形场,并分别与GNSS观测数据和InSAR视线向形变量对比分析,结果显示基于InSAR数据反演的断层滑动模型产生的位移场与球形地球模型的理论计算结果最为吻合.进一步,利用较优断层模型计算2021年青海玛多7.4级地震的理论同震位移、大地水准面、重力和应变等变化,该结果为玛多地震的GNSS和重力观测的解释提供理论参考依据. 相似文献
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Yabuki & Matsu'ura反演方法是利用ABIC最佳模型参数选取方法和平滑的滑动分布作为约束条件,由形变观测数据计算发震断层滑动分布.本文基于日本列岛同震GPS观测数据和发震断层曲面构造模型,利用Yabuki&Matsu'ura反演方法计算2011年日本东北地区太平洋海域Mw9.0级地震的发震断层同震滑动分布.反演结果表明,断层面上的最大滑动量为35 m,较大滑动分布在浅于30 km的震源中心上部,最大破裂集中在20 km深度的地方,其地震矩约为3.63×1022N·m,对应的矩震级为Mw9.0.模拟结果显示Yabuki&Matsu'ura反演方法更适用于倾角低于40°的断层模型反演.最后,本文基于上述方法获得的发震断层滑动模型,利用地球体位错理论正演计算该地震在中国及其邻区产生的远场形变,正演计算结果基本可以解释由中国GPS陆态网络观测到的同震形变. 相似文献
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《地球物理学进展》2016,(2)
地震位错理论是解释地震形变,并进行反演估算地震破裂模型的理论基础.当前的地震位错理论基于地球模型主要分为:均匀半无限模型、层状半无限模型、均质球形模型和层状球形模型.本文利用基于不同地球模型的位错理论,针对不同深度的地震,分析了同震水平、垂直形变的分布特征,讨论了导致同震形变差异的主要因素,即地球层状结构和曲率对同震形变结果产生的影响,以此探讨基于不同地球模型的位错理论的适用性.通过对比均匀半无限和层状半无限模型、均质球形和层状球形模型下的同震形变结果,发现形变量在近场的差异要大于在远场的差异,即地球层状结构在近场有较大的影响,其中对最大水平形变的影响可达到37%;通过对比均匀半无限和均质球形模型、层状半无限和层状球形模型下的同震形变结果,当震源深度较深时,形变量在远场的差异大于在近场的差异,即地球曲率在远场的影响大于在近场的影响,并且其明显小于地球的层状结构的影响. 相似文献
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利用改进的自动经验基线校正方法SMBLOC,对2016年8月24日意大利佩鲁贾MW 6.2级地震震中周围约60 km内的近场强震记录进行基线校正并尝试给出同震位移场,与GPS观测结果进行对比分析,分别独立和联合两种资料反演震源滑动模型,并根据震源模型进一步给出全空间预测位移场分布.研究结果表明:(1)两种不同的资料给出的水平位移场幅值均为cm级,且均表明断层的错动以正断为主.(2)两种同震位移场分别独立和联合反演所得的震源静态滑动范围基本一致,最大滑动均发生在震中东北侧,强震模型表现出明显的双事件特征,较大滑动分布在震中东北侧和东南侧,GPS模型在震中东南侧的滑动相对较小,其双事件特征不明显.两种模型的最大滑动量分别为0.96 m和0.86 m,较为一致,反演的矩震级均在MW 6.3左右.(3)根据震源滑动模型计算所得的佩鲁贾地震全空间预测的水平同震位移场中最大位移分布区域与震后报告中受灾严重的地区基本一致.表明在一定的条件下,利用SMBLOC方法解算震级较小的MW 6.0左右地震强震记录的同震位移场,并反演震源滑动模型具有一定的可行性,且其同震位移场和滑动模型可为震后灾害快速评估、救援力量分配、余震趋势判定等快速应急响应工作提供参考依据. 相似文献
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Yabuki & Matsu'ura反演方法是利用ABIC最佳模型参数选取方法和平滑的滑动分布作为约束条件,由形变观测数据计算发震断层滑动分布.本文基于日本列岛同震GPS观测数据和发震断层曲面构造模型,利用Yabuki & Matsu'ura反演方法计算2011年日本东北地区太平洋海域Mw9.0级地震的发震断层同震滑动分布.反演结果表明,断层面上的最大滑动量为35 m,较大滑动分布在浅于30 km的震源中心上部,最大破裂集中在20 km深度的地方.其地震矩约为3.63×1022N·m,对应的矩震级为Mw9.0.模拟结果显示Yabuki & Matsu'ura反演方法更适用于倾角低于40°的断层模型反演.最后,本文基于上述方法获得的发震断层滑动模型,利用地球体位错理论正演计算该地震在中国及其邻区产生的远场形变,正演计算结果基本可以解释由中国GPS陆态网络观测到的同震形变. 相似文献
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应用有限单元方法,计算了2015年尼泊尔MS8.1大地震发生产生的同震变形和应力变化.计算中考虑地球为球体以确保远场应力场变化得到可靠结果,采用PREM模型的地球分层模型,考虑了中国地震局(CEA)和美国地质调查局(USGS)各自提供的断层滑动模型.结果表明:尼泊尔MS8.1地震是一个比较典型的低角度逆冲地震,水平位移和应力降较大;地震造成南北方向上的水平位移最突出,且集中在首都加德满都附近区域.USGS断层滑动模型地表最大位移量达到3.5m,CEA滑动模型最大为1.2m;东西向和垂直方向上的同震位移相对较小;同震位移量级在0.1m的影响区域可达300km;地震造成尼泊尔地区最大库仑应力变化可达到MPa量级,地震危险性依然较大.此次MS8.1地震对我国西藏地区有一定影响,特别是雅鲁藏布江地区和拉萨块体南北走向的正断层,库仑应力变化为正,量级可达数千帕乃至十余千帕,应该注意该区被诱发中强震的可能性. 相似文献
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根据地球分层模型CRUST1.0和USGS发布的断层模型,考虑自重的影响,本文利用PSGRN/PSCMP模型计算了黏弹性分层介质中新西兰M_W7.8地震同震及震后位移和重力变化,结合GPS同震位移和模拟值,得到研究区域58个点位3个位移分量的均方根.结果表明:同震位移和重力变化在近场比较明显,远离断层的区域基本为零值;同震位移显示,新西兰M_W7.8地震震源机制在南部以逆冲为主,北部以右旋走滑为主;震后50年水平位移、垂直位移和重力的变化趋势与同震变化基本一致,水平位移在断层投影区以内减小,而在远场增加,垂直位移整体上呈现抬升趋势,重力变化幅度下降,反映了震后壳幔物质黏滞性调整;模拟值和GPS观测值在运动趋势和量级上具有较好的一致性,研究区域南北向位移、东西向位移和垂直位移的均方根分别为0.21 m、0.12 m和0.11 m,整体上模拟效果较好. 相似文献
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Endra Gunawan Putra Maulida Irwan Meilano Masyhur Irsyam Joni Efendi 《Acta Geophysica》2016,64(6):2136-2150
Based on continuous GPS data, we analyze coseismic deformation due to the 2012 Indian Ocean earthquake. We use the available coseismic slip models of the 2012 earthquake, derived from geodetic and/or seismic waveform inversion, to calculate the coseismic displacements in the Andaman-Nicobar, Sumatra and Java. In our analysis, we employ a spherical, layered model of the Earth and we find that Java Island experienced coseismic displacements up to 8 mm, as also observed by our GPS network. Compared to coseismic offsets measured from GPS data, a coseismic slip model derived from multiple observations produced better results than a model based on a single type of observation. 相似文献
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《Earth and Planetary Science Letters》2006,241(1-2):336-350
We investigated the fault geometry effects and the corresponding coseismic slip distribution using various proposed earthquake fault models for the Chi-Chi earthquake of 21 September 1999. The types of fault geometries are threefold: a simple planar fault plane, a two segmented planar fault plane and a three dimensional (3D) curved fault surface rupture propagation model. We derived the estimated spatial slip distribution from an inversion analysis of GPS coseismic displacement data and show that the 3D fault model is the preferred solution. The simple and segmented fault models lead to significant artificial slip distributions associated with the pre-defined fault geometry and the spatial distribution of GPS stations. The spatial distribution of coseismic slip deduced from the 3D fault model has three observable features: (1) the overall slip is concentrated at depth of less than 12 km, which may well correspond to a shallow-dipping detachment; (2) the maximum slip of about 10 m is located 45 km to the north of the epicenter; and (3) the slip vector is dominated by the dip-slip component. In addition, the results from the inversion of GPS data are consistent with those from the inversion analysis of teleseismic broadband data. A resolution analysis, further, demonstrates that the results are highly correlated with field GPS data studies when we used synthetic test data. The inversion of spatially distributed GPS data is highly sensitive to fault geometry. We conclude that the use of the 3D fault model is not only necessary but also certainly competent enough to well explain the inferred slip style and the observed static coseismic displacements. 相似文献
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COSEISMIC DISPLACEMENT FIELD OF THE WENCHUAN EARTHQUAKE DERIVED FROM STRONG MOTION RECORDS AND APPLICATION IN SLIP INVERSION 
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下载免费PDF全文 The development of high-rate GNSS seismology and seismic observation methods has provided technical support for acquiring the near-field real-time displacement time series during earthquake. But in practice, the limited number of GNSS continuous stations hardly meets the requirement of near-field quasi-real-time coseismic displacement observation, while the macroseismographs could be an important complement. Compared with high-rate GNSS, macroseismograph has better sensitivity, higher resolution(100~200Hz)and larger dynamic range, and the most importantly, lower cost. However, baseline drift exists in strong-motion data, which limits its widespread use. This paper aims to prove the feasibility and reliability of strong motion data in acquiring seismic displacement sequences, as a supplement to high-rate GNSS.
In this study, we have analyzed the strong-motion data of Wenchuan MS8.0 earthquake in Longmenshan fault zone, based on the automatic scheme for empirical baseline correction proposed by Wang et al., which fits the uncorrected displacement by polynomial to obtain the fitting parameters, and then the baseline correction is completed in the velocity sequence. Through correction processing and quadratic integration, the static coseismic displacement field and displacement time series are obtained. Comparison of the displacement time series from the strong motions with the result of high-rate GPS shows a good coincidence. We have worked out the coseismic displacement field in the large area of Wenchuan earthquake using GPS data and strong motion data. The coseismic displacement fields calculated from GPS and strong motions are consistent with each other in terms of magnitude, direction and distribution patterns. High-precision coseismic deformation can provide better data constraint for fault slip inversion. To verify the influence of strong-motion data on slip distribution in Wenchuan earthquake, we used strong motion, GPS and InSAR data to estimate the stress drop, moment magnitude and coseismic slip model, and our results agreed with those of the previous studies. In addition, the inversion results of different data are different and complementary to some extent. The use of strong-motion data supplements the slip of the fault in the 180km segment and the 270~300km segment, thus making the inversion results of fault slip more comprehensive.
From this result, we can draw the following conclusions:1)Based on the robust baseline correction method, the use of strong motion data, as an important complement to high-rate GNSS, can obtain reliable surface displacement after the earthquake. 2)The strong motion data provide an effective method to study the coseismic displacement sequence, the surface rupture process and quick seismogenic parameters acquisition. 3)The combination of multiple data can significantly improve the data coverage and give play to the advantages of different data. Therefore, it is suggested to combine multiple data(GPS, strong motion, InSAR, etc.)for joint inversion to improve the stability of fault slip model. 相似文献
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利用于田震中300 km范围内的1个GPS连续站和12个GPS流动站数据,解算得到了2014年新疆于田MS7.3地震地表同震位移,并反演了发震断层滑动分布,探讨此次地震对周边断裂的影响.地表同震位移结果显示,GPS观测到的同震位移范围在平行发震断裂带的北东-南西向约210 km,垂直发震断裂带的北西-南东方向约为120 km,同震位移量大于10 mm的测站位于震中距约120 km以内;同震位移特征整体表现为北东-南西方向的左旋走滑和北西-南东方向的拉张特征,其中在北东-南西方向,I069测站位移最大,约为32.1 mm,在北西-南东方向,XJYT测站位移最大,约为28.1 mm;位错反演结果表明,最大滑动位于北纬36.05°,东经82.60°,位于深部约16.6 km,最大错动量为2.75 m,反演震级为MW7.0,同震错动呈椭圆形分布,以左旋走滑为主并具有正倾滑分量,两者最大比值约为2.5：1,同震错动延伸至地表,并向北东方向延伸,总破裂长度约50 km,地表最大错动约1.0 m;同震水平位移场模拟结果显示贡嘎错断裂、康西瓦断裂和普鲁断裂等不同位置主应变特征具有差异性,这种差异特征是否影响断裂带以及周围区域的应力构造特征,值得关注. 相似文献
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用多种数据构建2008年汶川特大地震同震位移场 总被引：2，自引：2，他引：0
本文主要以GPS、精密水准观测和卫星SAR遥感图像分析2008年汶川特大地震同震位移特征.GPS数据包括:(1)四川盆地和川西高原地区各类国家等级GPS网点复测;(2)沿破裂带国家天文大地网GPS复测.前者推算的同震位移测定精度优于2 cm,后者6~8 cm.SAR遥感资料包括:(1)ALOS 卫星升轨相位干涉图像,精度优于8 cm;(2)ALOS和ENVISAT卫星影像合成的三维位移图,精度优于0.5 m.同震位移场显示,断层下盘(四川盆地)变形总体呈扇形集中指向震中,断层上盘(龙门山)变形总体上呈逆时针旋转态势,最大的实测水平位移5.5 m.汶川、理县、茂县等地测站位移指向破裂带方向,而平武、青川等地测站逐渐转变为平行,乃至远离破裂带方向,与汶川地震逆冲兼走滑的破裂特征一致.断层上盘大幅隆升,下盘靠近断层的区域以下沉为主,远场表现为幅度很小的隆升,垂直升降区域间,有一条与龙泉山断裂带平行的升降过渡带,调节龙泉断层的应力状态.用实测变形场检验多个地震波破裂模型表明,近场(距离断层50 km) 模型形变准确度可达40~50 cm, 远场精度优于5 cm. 相似文献
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On July 3rd, 2015, a MW6.4 earthquake occurred on Pishan County, Xinjiang, located in the front of western Kunlun thrust belt, which is the largest earthquake(MW6.0~7.0)in the past 40 years in this region. In this study, we collected both the near-filed geodetic coseismic deformation observations including 4 GPS sites and one high-resolution ALOS-2 InSAR imagery, and far-field teleseismic P waveforms from 25 stations provided by IRIS/USGS, to invert the fault parameters(strike and dip)and coseismic rupture model of 2015 MW6.4 Pishan earthquake. Using the finite fault theory, a non-linear simulated annealing algorithm was employed to resolve our joint inversion problem. The strike (120°~130°) and dip angle(35°~40°)of optimal models are different from that of some previous studies, and the dip change is strongly constrained by combined data than that of strike. In fixing the geometric parameters of optimal fault model, we also considered data weight(5)(geodetic data/teleseismic P waveforms)and constrained weight from moment and smooth factor(2.5). Clearly, our results indicate that the slip distribution mainly concentrates in the depth range from 9 to 16km and a length range of 20km along the strike direction, which is similar to the spatial distribution of the relocated aftershocks. The maximum slip is~95cm. The seismic moment release is 5.45×1018N·m, corresponding to MW6.42. Compared with the single data set, geodetic data or teleseismic waveform, our joint inversion model could simultaneously constrain the seismic moment and slip distribution well, thus avoiding effectively a lower-resolution rupture distribution determined by teleseismic-only inversion and a bias released moment estimated by the geodetic-only inversion. Importantly, we should consider both the near-field geodetic data and far-field teleseismic data in retrieving the rupture model for accurately describing the seismogenic structure of active fault in western Kunlun region. 相似文献
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GPS data from Crustal Movement Observation Network of China (CMONOC) are used to derive far-field co-seismic displacements induced by the Mw 9.0 Tohoku Earthquake. Significant horizontal displacements about 30 mm, 10 mm, and 20 mm were caused by this large event in northeast China, north China, and on the Korean peninsula respectively. Vectors of relatively large horizontal displacements with dominant east components pointed to the epicenter of this earthquake. The east components show an exponential decay with the longitude, which is characteristic of the decay of the co-seismic horizontal displacements associated with earthquakes of thrust rupture. The exponential fit of the east components shows that the influence of the co-seismic displacements can be detected by GPS at a distance of about 3200 km from the epicenter of the earthquake. By considering the capability of the far field displacements for constraining the inversion of the fault slip model of the earthquake, we use spherically stratified Earth models to simulate the co-seismic displacements induced by this event. Using computations and comparisons, we discuss the effects of parameters of layered Earth models on the results of dislocation modeling. Comparisons of the modeled and observed displacements show that far field GPS observations are effective for constraining the fault slip model. The far field horizontal displacements observed by GPS are used to modify the slips and seismic moments of fault slip models. The result of this work is applicable as a reference for other researchers to study seismic source rupture and crustal deformation. 相似文献
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2011年3月11日日本发生9.0级地震,本文以此次地震的震间、同震和震后形变观测为约束,依据不同时段断层运动空间分布特征分析日本海沟地区强震与断层运动间关系.震间日本海沟地区,断层运动闭锁线深度约为60km,闭锁线以上从深到浅依次为断层运动强闭锁段、无震滑移段和弱闭锁段.由同震位错反演结果,2011年日本9.0级地震同震存在深浅两个滑移极值区,同震较浅的滑移极值区(同震位错量10~50m,深度小于30km)震间为断层弱闭锁段;同震较深的滑移极值区(同震位错量10~20m,深度在40km左右)震间为断层强闭锁段;而在两者之间的过渡带同震位错相对较小,震间断层运动表现为无震滑移.震后初期断层运动主要分布在在闭锁线以上的同震较深滑移极值区,而同震较浅的滑移极值区能量释放比较彻底,断层震后余滑量相对较小.依据本文同震和震间断层运动反演结果,震间强闭锁段积累10m同震位错需要100多年时间,与该区域历史上7级地震活动复发周期相当;震间弱闭锁段积累30~50m同震位错约需要300~600年时间,与相关研究给出的日本海沟9级左右地震复发周期比较一致.在实际孕震能力判定的工作中,由于不同性质的断层段在同震过程中会表现更多的组合形式,断层发震能力判定结果存在更多的不确定性,但利用区域形变观测等资料给出震间断层运动特征的研究工作对于断层强震发震能力的判定具有非常重要的实际意义. 相似文献