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2016年台湾美浓MW6.4地震震源参数的InSAR和GPS反演
引用本文:王乐洋,高华,冯光财.2016年台湾美浓MW6.4地震震源参数的InSAR和GPS反演[J].地球物理学报,2017,60(7):2578-2588.
作者姓名:王乐洋  高华  冯光财
作者单位:1. 东华理工大学测绘工程学院, 南昌 330013;2. 中南大学地球科学与信息物理学院, 长沙 410083;3. 流域生态与地理环境监测国家测绘地理信息局重点实验室, 南昌 330013;4. 江西省数字国土重点实验室, 南昌 330013
基金项目:国家自然科学基金(41664001,41204003,41574005),江西省杰出青年人才资助计划项目(20162BCB23050),国家重点研发计划(2016YFB0501405),江西省教育厅科技项目(GJJ150595),江西省数字国土重点实验室开放研究基金资助项目(DLLJ201705)和江西省研究生创新专项资金项目(YC2016-S281)联合资助.
摘    要:2016年2月6日台湾西南部高雄市美浓区发生了MW6.4地震.本文结合ALOS2卫星升降轨、Sentinel-1A升轨SAR数据,采用两轨差分干涉技术获取了该区域的同震形变场,形变结果表明震中西北部以抬升为主,最大视线向形变量约为11.2 cm.基于均匀位错模型和多峰值粒子群(MPSO)算法,利用InSAR和GPS形变数据联合反演了美浓地震的断层几何参数,结果表明震源中心位于22.920°N,120.420°E,深度约12 km,发震断层长度约15 km,走向角307°,倾角16.5°,平均滑动角为51.5°,此次地震是以逆冲倾滑兼左旋走滑的破裂模式.利用格网迭代搜索法得到最优倾角为15.7°,GPS和InSAR最优权比为18:1,最优平滑因子为0.06.基于非均匀位错模型,利用非负最小二乘方法进行线性反演,结果显示最大倾滑和走滑量分别为51.7 cm和55.3 cm,对应矩震级为MW6.38,略小于GCMT (MW6.4)的结果.通过与已有文献的比较和对该区域断层构造的分析,发现美浓地震的发震断层为单一断层的解释更为合理,我们推测发震断层是位于左镇、后甲里等断层之间的一条东南-西北走向往东北倾斜的盲断层,并初步推测2010年MW6.3甲仙地震也同该断层有关.

关 键 词:美浓地震  震源参数反演  InSAR  同震形变场  PSO  
收稿时间:2016-07-20

InSAR and GPS inversion for source parameters of the 2016 MW6.4 Meinong,Taiwan earthquake
WANG Le-Yang,GAO Hua,FENG Guang-Cai.InSAR and GPS inversion for source parameters of the 2016 MW6.4 Meinong,Taiwan earthquake[J].Chinese Journal of Geophysics,2017,60(7):2578-2588.
Authors:WANG Le-Yang  GAO Hua  FENG Guang-Cai
Institution:1. Faculty of Geomatics, East China University of Technology, Nanchang 330013, China;2. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;3. Key Laboratory of Watershed Ecology and Geographical Environment Monitoring, NASG, Nanchang 330013, China;4. Key Laboratory for Digital Land and Resources of Jiangxi Province, Nanchang 330013, China
Abstract:On February 6, 2016, an MW6.4 earthquake struck the Meinong district of Kaohsiung city in Taiwan, China. Many studies have been conducted on this event, most of which are based on seismic Data, while no consensus has been reached on its fault structure and focal parameters yet. Surface displacement obtained by InSAR technology is widely used in earthquake studies because of its high resolution and accuracy with large and continuous coverage. This study used InSAR and GPS data to investigate the focal mechanism and slip distribution of the 2016 Meinong earthquake.
Using the dual-track differential interferometric SAR (D-InSAR) technology, we extracted the coseismic deformation field of this earthquake from synthetic aperture radar (SAR) data (both the ascending and descending) acquired by satellite ALOS2 and the ascending data by satellite Sentinal-1A. The results show that the maximum deformation occurred in the west of the epicenter with an uplift around 11.2 cm.
The uniform dislocation model and multiple peak particle swarm optimization (MPSO) algorithm were employed to determine the fault geometry of this earthquake based on the InSAR and GPS data. The results show that the rupture is a reverse fault with sinistral strike-slip with the average slip angle of 51.5°. The deformation center is at 22.920°N, 120.420°E with a depth of 12 km.The rupture plane is about 15 km long with a strike of 307° and a dip angle of 16.5°. The optimal dip angle (15.7°), weighting ratio (18:1) between GPS and InSAR and the smoothing factor (0.06) obtained by the grid iteration method based on a non-uniform dislocation model, and the non negative least squares method are used to determine the detailed slip distribution. The results show that the maximum value of dip slip and strike slip are 51.7 and 55.3 cm, respectively. The moment magnitude of the non-uniform rupture model is MW6.38, slightly smaller than that of GCMT (MW6.4).
The comparison between our research and previous work and the analysis of the regional faults indicate that a single fault geometry is more reasonable which can fit both the GPS and InSAR data well. We also find that the ruptured fault is a blind structure located between the Zouchen and Chishan faults with an SE-NW strike, dipping toward to SE. We infer this fault should be also related with the 2010 MW6.3 Jiashian earthquake.
Keywords:Meinong Taiwan earthquake  Inversion for seismic source parameters  InSAR  Co-seismic deformation field  PSO
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