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《Journal of Geodynamics》2008,46(4-5):163-168
The reactivation of the Chelungpu fault triggered the 20 September 1999 Chi-Chi Taiwan earthquake (Mw = 7.6) which caused a 100-km long surface rupture that trends north–south. We reconstruct the fault geometry using 1068 planar triangular dislocation elements that approximate more realistically the curved three-dimensional fault surface. The fault slip distribution is then determined with the observed GPS coseismic displacements as well as interferometric synthetic aperture radar (InSAR) data. The results show that our smooth 3D fault slip model has improved the fit to the geodetic data by 44% compared with the previously published inversions. The slip distribution obtained both by inversion of GPS data only and by joint inversion of GPS and InSAR data indicates that notable slips occur on the sub-horizontal décollement at the depth of 6.1–8.9 km. 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
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2004年苏门答腊大地震后,不同作者根据地震波和/或GPS观测,提出了不同的断层错动模型.在利用同震位移观测资料反演断层滑动模型时,由于使用半无限空间均匀介质模型或半无限空间分层介质模型,一般只能利用近场位移GPS观测约束,无法利用远场资料,这些模型有时差别颇大,如何区别这些模型的优劣是一个仍尚未解决的问题.本文采用等效体力有限元方法,在考虑地球球形和分层的条件下,对四个不同作者提供的2004年苏门答腊地震的断层滑动模型计算全球同震位移.由于采用了球形模型,所以不仅可以把四个模型的近场位移计算结果与GPS数据进行对比,而且可以把远场位移计算结果与GPS数据进行对比.我们发现,垂直位移对断层滑动模型的依赖性小于水平位移.四个模型计算的近场位移与GPS位移符合程度均较好,但是四个模型计算的远场位移与GPS位移符合情况有很大不同,其中Chlieh等（2007）模型在近场与远场符合程度均很好,是四个模型中最好的.另外还探讨了断层反演数据资料、断层几何模型以及地球模型对计算结果的影响.对于特大地震,全球同震位移观测与计算值吻合程度的好坏是衡量断层滑动模型的合理性的一个重要依据. 相似文献
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利用日本ALOS-2和欧空局Sentinel-1A卫星获得的尼泊尔地震同震形变场,结合GPS同震位移数据,联合反演了断层滑动分布特征和空间展布.结果表明:尼泊尔地震的同震形变场主要集中在150km×100km的范围内,且分为南北两个相邻的形变中心,南形变中心的视线向抬升量约为1.2m,北形变中心的视线向沉降量约为0.8m,均位于发震断层上盘.位于形变抬升区的KKN4和NAST两个GPS站,抬升量和南向运动量均达到了m级,而远离震区的其他GPS台水平和垂直观测量均在1cm以内.联合反演得到的断层位错分布主要集中在沿走向150km,沿倾向70km的范围内,最大滑动量为5.59m,平均滑动量为0.94m.断层面倾角在浅部约为7°,随着深度增加,倾角逐渐变大,到垂直深度20km时倾角接近12°;5月12日MW7.2级余震位于主震破裂区的"凹"型滑动缺损区域;主震破裂区的上边界与MBT空间位置十分吻合,主震破裂区主要集中的MBT以北50~60km处,垂直深度为8~9km,倾角为9°,继续向北时主震破裂面以10°~12°的倾角向深延伸,在18~20km可能与MHT交汇.因此,初步判定MBT为此次地震的发震断层. 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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—We constructed a three-dimensional finite element model to simulate coseismic and postseismic displacement and stress fields associated with the 1993 Kushiro-oki earthquake, which was a very large intermediate-depth earthquake that occurred within the subducted Pacific plate at a depth of 107 km beneath the southeastern part of Hokkaido, Japan. Taking the configuration of the subducted Pacific plate into account, we constructed a realistic model with lateral heterogeneity of viscoelastic structure. We assigned a variable slip distribution to the fault plane, which was obtained from inversion analysis of near-field seismic waveforms. The result shows that elastic deformation associated with the faulting reflects the assigned inhomogeneous slip distribution on the fault plane near the fault region, while it does not reflect the distribution on the free surface of the model. The calculated postseismic deformation does not reflect the slip distribution, but shows symmetric spatial patterns concerning the dipping direction of the fault both near the fault region and on the model surface. For the next 20 years following the earthquake, the amount of the calculated deformation is a fraction of the coseismic deformation. The calculated coeseismic deformation is large just above and below the fault plane, reaching 1 m, while the postseismic deformation is dominant near the upper and lower material boundaries between the subducted plate and the surrounding asthenosphere. The spatial distribution of maximum shear stress near the fault plane corresponds to the assigned slip distribution, amounting to 32 MPa. The directions of principal stress-change axes represent reverse fault type in the SSE region of the fault, whereas normal fault type is dominant in the NNW region with the exception of some asymmetrical spatial patterns of the principal stress-change axes on the fault due to the inhomogeneous slip distribution. Time variations both in the amount and the directions of stresses are minor, suggesting that the coseismic state of the stress would remain unchanged for two decades after the event. 相似文献
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The 03 February 2002 Çay Earthquake (Mw ～6.7) occurred on the fault segment between Eber and Ak?ehir Lakes followed by a large aftershock (Mw ～5.6) near the western end of the fault and two sequential aftershocks. We computed the coseismic surface displacements from static GPS measurements to determine the fault geometry parameters and uniform slip components. The coseismic displacements were obtained through combining the regional pre-earthquake and post-earthquake GPS data. Fault geometry and slips were acquired through the inversion of GPS data modeling the events as elastic dislocations in a half-space and assuming all four events took place on the same fault plane. Results suggest that one-segment fault of ～33 km length and dipping ～43° northward suffices to model the dislocation, assuming uniform slip distribution with 0.51 m dip slip, 0.26 m left-lateral slip extending to a depth down to ～11.5 km which is consistent with seismological evidence. The results also verify the normal faulting in the eastern flank of Isparta Angle which has long been assumed as a thrusting structure. While the available data cannot identify the four individual events on the same day, an attempted distributed slip model differentiates dip slip and left-lateral slips near the hypocenter with maximum values of ～1 and 0.6 m, respectively. 相似文献
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以往的研究显示了2013年芦山MS7.0级地震发震断层的隐伏逆冲断层基本特征,但是破裂深部细节差异较大.本文以近场密集的同震形变数据约束芦山地震破裂面几何形状及滑动分布,结果显示芦山地震破裂面具有铲状结构,上部16km为43°~50°高角度断层,深部16~25km为小于27°的低角度断层,破裂深度与重定位的余震分布深度一致.破裂分布模型清楚显示上下两个断层上各有一个滑动幅度大于0.5m的峰值破裂区,最大滑动量1.5m位于13km深处.重定位的余震分布基本都落在最大滑动量等值线外部库仑应力增加的区域.芦山地震破裂面几何形状和滑动分布特征与2008年汶川MS8.0级地震映秀—北川破裂相似,支持龙门山冲断带发育大规模的近水平滑脱层,是青藏高原东缘地壳缩短增厚、龙门山挤压隆升的重要证据. 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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本文首先对Envisat/ASAR数据进行干涉处理, 获取2011年日本东北MW9.0地震的地表InSAR同震形变场; 然后通过对InSAR同震形变数据重采样方法的深入分析, 选择条纹率法结合干涉图的空间相干性对InSAR同震形变数据进行重采样; 最后基于弹性半空间位错模型, 联合InSAR与GPS形变数据, 采用最小二乘法反演发震断层的滑动分布. 研究结果表明: 考虑相干性的条纹率重采样方法, 更适用于形变场中存在除断层外的有限边界、 且形变场范围较大的InSAR数据重采样处理; 断层滑动主要发生在地表以下50 km范围内, 最大滑动量为49.9 m, 矩张量为4.89×1022 N·m, 所对应的矩震级为MW9.1, 与地震学反演的结果比较吻合. 相似文献
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本文基于Sentinel-1A卫星影像数据提取了2015年皮山MW6.4地震的同震形变场, 震中北部以隆升为主, 最大抬升量为12.9 cm; 南部以沉降为主, 最大沉降量为5.5 cm。 采用基于单一断层滑动模型的多峰粒子群优化和蒙特卡罗算法, 以LOS向InSAR形变场为约束, 对发震断层的几何模型进行非线性反演。 在此基础上, 联合InSAR和GPS数据, 利用最速下降法反演断层滑动分布。 综合结果表明: 发震断层是顶部埋深约7.4 km的隐伏断裂, 断层面大小为48 km×35 km, 断层走向、 倾角、 断层滑动角分别为111°、 19°、 91°; 断层最大滑动量0.47 m, 位于深度为10.6 km的区域; 累计地震矩3.89×1018 N·m, 约合矩震级MW6.33。 最后, 依据主震断层滑移量计算了主震对周围中小断裂的库仑应力扰动变化, 结果显示距离震中最近的泽普断裂受主震影响的库仑应力明显增加; 震后3年内余震集中分布在泽普断裂库仑应力增加区域, 表明皮山地震主震对余震的发生可能具有一定的应力触发作用。 相似文献
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2003年7月7日发生在西藏与青海交界处的班戈MS6.1地震, 由于缺乏余震分布等可靠资料, 其发震构造及其活动性质等问题一直认识不清。 几家机构利用远场波动资料给出的震源机制解差异很大。 本文利用ENVISAT卫星ASAR数据和D-InSAR技术, 计算获得了该地震LOS方向的同震形变场图像, 并以此为约束反演获得了该地震的断层几何参数和同震滑动分布。 结果表明, 班戈MS6.1地震的发震构造为控制唐古拉山西边界的波涛湖—土门断裂, 其发震断层为走向161°的高角度右旋斜滑正断层, 破裂长度约10 km, 滑动量主要集中在3~7 km深度范围, 最大滑动量0.26 m, 矩震级MW5.6。 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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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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由于印度-欧亚板块碰撞,位于板块边界带的喜马拉雅地区大震频繁,但对其活动性的认识仍十分有限.2015年4月25日尼泊尔中东部地区时隔80年再次发生8级地震,为研究板缘地震提供了一次难得机遇.本文用西藏和尼泊尔的GPS连续观测数据和全球分布的远震地震波记录联合反演此次特大地震的破裂过程,结果显示此次地震发生在印度板块与青藏高原接触边界面——喜马拉雅主滑脱断层上.北倾11°、近东西(295°)走向的断层面破裂约100km长(博卡拉到加德满都),130km宽(从加德满都深入我国西藏吉隆县),破裂以逆冲滑动为主,平均幅度达到2.4m,释放的地震矩高达9.4×1020 N·m.反演结果还显示,震源体主要破裂分布深度范围为5~25km,应无地表破裂,属于一次盲地震.基于GPS资料推测的地壳现今运动速率及1833年地震的震源位置,我们推测地震在此次地震破裂区域复发的周期可能为150~200a,而极震区以南的深部滑脱断层仍保持闭锁,未来仍有导致灾害性大震的可能性. 相似文献
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2015年7月3日在新疆皮山县发生了MS6.5地震, 该地震使当地遭受了巨大的经济损失。 本文利用欧空局提供的Sentinel-1A卫星差分干涉数据对该地震的震源机制情况进行了反演研究, 首先运用两轨法对卫星雷达影像进行差分干涉处理, 获取了覆盖皮山地震震区的同震形变场, 然后利用弹性半空间的均匀滑动模型反演获取了发震断层的几何参数, 并对原始观测数据进行降采样处理, 在此基础上运用分布式滑动模型反演获取了更为精细的断层滑动分布, 结果显示分布式滑动模型与观测结果有很高的拟合度。 反演结果表明发震断层是一个以逆冲为主兼有极少量左旋走滑的盲断层, 此次地震断层面的同震活动分布主要集中在7~15 km深度范围内, 同震的地震矩为6.28×1018N·m, 矩震级为MW6.46, 与前人的研究结果非常一致。 相似文献
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2014年8月24日,在美国加州旧金山海湾北部的纳帕地区发生了MW6.1地震.发震断层是西纳帕断裂系统中的一部分,但是该断层之前并未被足够重视.本文利用欧洲空间局最近发射成功并刚刚投入使用的Sentinel-1A卫星获取的第一对同震干涉像对(20140807-20140831),得到了该地震的地表同震形变场,结合震后24h内区域GPS同震形变资料作为约束条件,反演了纳帕地震的断层几何参数以及滑动分布.Sentinel-1A干涉结果表明,此次地震造成了明显的地面形变,视线向最大抬升和最大沉降量均达到了10cm.联合反演结果表明,该发震断层的走向为344°,倾角为80°.主要破裂以右旋走滑为主,平均倾滑角为-146.5°,最大倾滑量达到了1.1m,位于地表下约4km,存在明显的滑动亏损现象.此次地震,累计释放地震矩达1.5×1018 N·m,约合矩震级MW6.1.该结果略小于InSAR单独约束结果,可能与Sentinel-1A像对中包含的快速震后形变分量有关. 相似文献
20.
Ninfa Bennington Clifford Thurber Kurt L. Feigl Jessica Murray-Moraleda 《Pure and Applied Geophysics》2011,168(10):1553-1565
Several studies of the 2004 Parkfield earthquake have linked the spatial distribution of the event’s aftershocks to the mainshock
slip distribution on the fault. Using geodetic data, we find a model of coseismic slip for the 2004 Parkfield earthquake with
the constraint that the edges of coseismic slip patches align with aftershocks. The constraint is applied by encouraging the
curvature of coseismic slip in each model cell to be equal to the negative of the curvature of seismicity density. The large
patch of peak slip about 15 km northwest of the 2004 hypocenter found in the curvature-constrained model is in good agreement
in location and amplitude with previous geodetic studies and the majority of strong motion studies. The curvature-constrained
solution shows slip primarily between aftershock “streaks” with the continuation of moderate levels of slip to the southeast.
These observations are in good agreement with strong motion studies, but inconsistent with the majority of published geodetic
slip models. Southeast of the 2004 hypocenter, a patch of peak slip observed in strong motion studies is absent from our curvature-constrained
model, but the available GPS data do not resolve slip in this region. We conclude that the geodetic slip model constrained
by the aftershock distribution fits the geodetic data quite well and that inconsistencies between models derived from seismic
and geodetic data can be attributed largely to resolution issues. 相似文献