| 利用STLN和InSAR数据反演2008年青海大柴旦Mw6.3级地震断层参数 |
| |
| 引用本文： | 王乐洋,许才军,温扬茂.利用STLN和InSAR数据反演2008年青海大柴旦Mw6.3级地震断层参数[J].测绘学报,2013,42(2):168-176. |
| |
| 作者姓名： | 王乐洋 许才军 温扬茂 |
| |
| 作者单位： | 1. 东华理工大学测绘工程学院,江西南昌330013;武汉大学测绘学院,湖北武汉430079;江西省数字国土重点实验室,江西抚州344000
2. 武汉大学测绘学院,湖北武汉,430079 |
| |
| 基金项目： | 国家自然科学基金，东华理工大学博士科研启动金，江西省数字国土重点实验室开放研究基金，教育部博士点基金，武汉大学中央高校基本科研业务费专项资金 |
| |
| 摘 要： | 利用Envisat/ASAR雷达影像处理后获取的2008年11月10日青海大柴旦Mw6.3级地震InSAR同震形变场数据和LN算法反演观测值含有粗差情况下的地震Okada矩形位错模型断层参数;断层深度为19.691 5 km,倾角为56.892 3°,长度为16.499 3km,宽度为6.854 8km,倾滑量为0.832 6 m,中心经度为95.884 7°,中心纬度为37.529 5°,走向方位角为116.411 5°,地震矩为3.108 4×1018 Nm(Mw6.295 0)。反演结果表明,当观测值含有粗差时,LN算法在1范数下可以有效抵抗粗差的干扰,充分利用已有先验信息的同时顾及观测、线性化等原因引起的系数矩阵误差的影响。
|
| 关 键 词： | 大柴旦地震 结构总体最小范数 InSAR 断层参数 粗差 |
| 收稿时间： | 2011-09-26 |
Fault Parameters of 2008 Qinghai Dacaidan Mw6.3 Earthquake from STLN Inversion and InSAR Data |
| |
| WANG Leyang,XU Caijun,WEN Yangmao.Fault Parameters of 2008 Qinghai Dacaidan Mw6.3 Earthquake from STLN Inversion and InSAR Data[J].Acta Geodaetica et Cartographica Sinica,2013,42(2):168-176. |
| |
| Authors: | WANG Leyang XU Caijun WEN Yangmao |
| |
| Institution: | 1.Faculty of Geomatics,East China Institute of Technology,Nanchang 330013,China;2.School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China;3.Jiangxi Province Key Lab for Digital Land,Fuzhou 344000,China |
| |
| Abstract: | While gross errors are contained in the observations, through the use of InSAR coseismic deformation data obtained from the ESA Envisat/ASAR images and with LN algorithm, the fault parameters of Okada rectangle dislocation model in the elastic half-space can be calculated for Qinghai Dacaidan Mw6.3 earthquake on 10 November, 2008. The earthquake fault inversion results of depth, dip, length, width, dip-slip, center longitude, center latitude, and strike azimuth are 19.6915 km, 56.8923°, 16.4993 km, 6.8548 km, 0.8326 m, 95.8847°, 37.5295°, and 116.4115° respectively. And the inverted geodetic seismic moment is 3.1084×1018Nm (Mw6.2950), which is consisting with the seismic results. The inversion results has proved that when the observations are contaminated by gross errors, using LN algorithm to deal with structured total least norm problems in L1 norm can effectively drop off the interference caused by those errors, and can fully make use of the prior information and at the same time consider the effects of coefficient matrix errors caused by reasons such as surveying, linearization and so on. |
| |
| Keywords: | Dacaidan earthquake structured total least norm InSAR fault parameter gross error |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《测绘学报》浏览原始摘要信息 |
| 点击此处可从《测绘学报》下载免费的PDF全文 |
|
