九寨沟Ms7.0地震的同震形变场误差研究及断层滑动分布反演     

庄春晓  王仕祥  王仲想 《测绘与空间地理信息》2020,(3):211-214,224

北京时间2017年8月8日四川省九寨沟发生Ms7.0级地震。为了提高断层滑动分布反演的可靠性,本文利用升降轨InSAR数据联合反演断层滑动分布,再根据模拟形变值二次反演,对比反演结果来探讨升降轨形变场误差和确定断层滑动分布的结果。结果表明,九寨沟升轨同震形变场的质量较好,降轨形变场受余震、震后粘弹性松弛效应影响明显,利用模拟形变值二次反演确定的断层滑动分布可靠性更高。  相似文献   

PBO钻孔应变同震响应分析     

陈燚飞  吕品姬 《大地测量与地球动力学》2019,39(7):765-770

以2017-09-08墨西哥8.1 级地震为例，分析14个PBO综合钻孔应变仪和地震仪同址记录的地震波信号，结果表明，应变仪记录的地震波符合射线传播规律。对不同震中距的站点进行基于S变换的应变仪与地震仪的同震响应特征分析，二者同震响应一致性较好，应变仪频段主要在0.25 Hz以下。取震后1 h应变数据进行分析发现，同震阶段应变主方向指向震中。  相似文献   

Deriving 3D coseismic deformation field by combining GPS and InSAR data based on the elastic dislocation model     

《International Journal of Applied Earth Observation and Geoinformation》2017

The density of GPS measurements is usually one of the key issues in resolving 3-D coseismic deformation field from integrating GPS and Interferometric Synthetic Aperture Radar (InSAR) measurements with pure mathematic interpolation methods An approach that combines the elastic dislocation model with the Best Quadratic Unbiased Estimator (BQUE) or a robust estimation method named IGG (Institute of Geodesy and Geophysics) is proposed to reconstruct 3-D coseismic deformation field, in which only a small amount of GPS data is needed to produce a reasonable initial 3-D coseismic deformation. Then the BQUE and IGG are used to weight the InSAR and GPS measurements to avoid computational issues caused by the negative variance problem and to decrease the impact from gross errors. The Wenchuan earthquake is used to test the proposed method. We find that the developed method makes it possible to use only a few GPSs and InSAR data to recover the 3-D coseismic deformation field, which offers extensive future usage for measuring earthquake deformation, particularly in some tectonically active regions with sparse GPS measurements.  相似文献   

菲律宾棉兰老岛2019年4次M_W>6.0地震断层运动模型及库仑应力传输研究     

吴少杰  杨莹辉  王泽根  熊凌艳  陈强  陈静  杨超 《大地测量与地球动力学》2022,42(3):240-246

基于雷达干涉测量技术,利用ALOS-2、Sentinel-1卫星升降轨雷达影像,获得2019-10~12发生在菲律宾棉兰老岛的4次M_W>6.0地震的同震形变场,并以此形变结果为约束,反演得到4次地震的断层运动模型。综合分析发现,此次地震序列由3条断裂的破裂引起,其中2019-10-16和2019-10-31的2次地震为同一发震断裂,2019-10-31地震断层破裂区域位于2019-10-16地震断层破裂的东北延伸段,最大滑动量约为1.1 m,约为2019-10-16地震最大滑动量的2倍。2019-10-29地震由一条独立断层破裂引起,断层最大滑动量约为2.0 m。2019-12-15地震由一条东北向倾斜断层破裂引起,断层最大滑动量约为3.0 m。此外,2019-10-16地震引起2019-10-29地震显著滑动区明显的正向库仑应力传输;而2019-10-29地震显著增加了2019-10-31地震震源区域的库仑应力;前3次地震对2019-12-15地震孕震断层的库仑应力传输总和为负值,说明静态库仑应力传输可能不是此次地震触发的主要诱因。  相似文献   

天山北麓活动背斜区河流阶地与古地震事件   总被引：2，自引：2，他引：2       下载免费PDF全文

杨晓平  李安  黄伟亮  张玲 《地震地质》2011,(4):739-751

利用航空遥感照片和Google earth卫星影像,对天山北麓独山子活动背斜区奎屯河两侧的河流地貌进行解释,结合野外调查发现,奎屯河流经独山子背斜段发育7级基座阶地,阶地基座为上新统独山子组泥岩,其上部为2.5 ～ 15m厚的砂砾石层和砂质黏土.在开挖或剥离的各级阶地堆积物剖面中采集细粒堆积物样品,实验室中采用细粒石英...  相似文献   

青海钻孔应变映震效能研究   总被引：2，自引：1，他引：1       下载免费PDF全文

李玉丽  李启雷  孙春玲  杨晓霞  安黎霞 《地震工程学报》2017,39(1):126-132

利用青海省6套YRY-4分量钻孔应变仪2007—2015年的观测资料,将该地区符合扫描范围的地震从震前异常和同震特征两方面进行研究。结果显示:湟源、德令哈分量钻孔应变差应变曲线地震前大多有短期超差异常;分量钻孔应变仪的同震响应幅度与震级、震中距都有关。同一地震,多台仪器多数情况同震响应幅度与震中距成反比,少数成正比;一般单台仪器同震响应幅度与地震震级成正比关系,震级越大同震响应幅度越大;分量钻孔应变仪的同震响应延迟时间大多与地震震中距成正比,震中距越远同震响应延迟时间越长;分量钻孔应变仪同震响应持续时间与震级基本成正比,震级越大同震持续时间越长。  相似文献   

DATABASE OF LANDSLIDES TRIGGERED BY 2015 GORKHA(NEPAL) M_W7.8 EARTHQUAKE          下载免费PDF全文

XU Chong  TIAN Ying-ying  SHEN Ling-ling  MA Si-yuan  XU Xi-wei  ZHOU Ben-gang  HUANG Xue-qiang  MA Jun-xue  CHEN Xi 《地震地质》2018,40(5):1115-1128

In this study, a detailed database of landslides triggered by the 25 April 2015 Gorkha (Nepal)M_W7.8 earthquake is constructed based on visual interpretation of pre- and post-earthquake high-resolution satellite images and field reconnaissance. Results show the earthquake triggered at least 47 200 landslides, which have a NWW direction spatial distribution, similar with the location and strike of the seismogenic fault. The landslides are of a total area about 110km² and an oval distribution area about 35 700km². On the basis of a scale relationship between landslide area (A)and volume (V), V=1.314 7×A^{1.208 5}, the total volume of the coseismic landslides is estimated to be about 9.64×10⁸m³. In the oval landslide distribution area, the landslide number density, area density, and volume density were calculated and the results are 1.32km^-2, 0.31%, and 0.027m, respectively. This study provides a detailed and objective inventory of landslides triggered by the Gorkha earthquake, which provides very important and essential basic data for study of mechanics of coseismic landslides, spatial pattern, distribution law, and hazard assessment. In addition, the landslide database related to an individual earthquake also provides an important earthquake case in a subduction zone for studying landslides related to multiple earthquakes from a global perspective.  相似文献   

�봨Mw7.9����InSARͬ���α䳡��У��     

谭凯  沈强  乔学军  杨少敏 《大地测量与地球动力学》2010,30(2):14-18

??GPS?????????ALOS PALSAR??????????Mw7.9????InSAR????α????????У??????????????????InSAR LOS???????ж??????????????????????????????????????????????????????????????λ???????????????????????????????????????????GPS???У????InSAR????α???????????????????α??????????InSAR?α??????5cm??  相似文献   

GEODETIC AND TELESEISMIC CONSTRAINTS ON SLIP DISTRIBUTION OF 2015 M_W6.4 PISHAN EARTHQUAKE     

CHEN Yun-guo  HE Ping  DING Kai-hua  LI Shui-ping  WANG Qi 《地震地质》2019,41(1):137-149

On July 3^rd, 2015, a M_W6.4 earthquake occurred on Pishan County, Xinjiang, located in the front of western Kunlun thrust belt, which is the largest earthquake(M_W6.0~7.0)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 M_W6.4 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 M_W6.42. 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   

COSEISMIC DISPLACEMENT FIELD OF THE WENCHUAN EARTHQUAKE DERIVED FROM STRONG MOTION RECORDS AND APPLICATION IN SLIP INVERSION          下载免费PDF全文

LIU Xiao-dong  SHAN Xin-jian  ZHANG Ying-feng  YIN Hao  QU Chun-yan 《地震地质》2019,41(4):1027-1041

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 M_S8.0 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