断层蠕滑时空分布的GNSS网络滤波反演

为从现今庞大的GNSS观测网络中快速检测断层蠕滑形变,精细反演蠕滑时空分布及演变特征,提出集GNSS网络滤波、地表形变信息提取和地下断层蠕滑时空分布反演三者于一体的方法。该方法同时采用整个GNSS网络的时空观测阵列,利用断层形变高空间相关的特点,对覆盖断裂带地表的GNSS位移时空序列进行主成分分析,利用主成分信息快速检测并反演蠕滑断层的时空分布与演变过程。以2005年苏门答腊M W8.6地震震后余滑和2006年墨西哥Guerrero州慢滑移为例,本文方法可成功检测并反演蠕滑断层的时空分布及演变特征,结果与相关研究成果吻合。

Spatio-Temporal Inversion of Fault Creep Based on GNSS Observation Network Filtering

Abstract: We attempt to quickly detect the fault screep deformation from the large GNSS observation network, and accurately invert the spatio-temporal distribution and evolution characteristics of faultcreep. GNSS network filtering, crustal deformation information, and spatio-temporal distribution inversion of fault creep are combined into one method. According to the whole GNSS network spatio-temporal observation array and the high space correction of fault deformation, and based on the principal component analysis of GNSS displacement spatio-temporal series covering the fault surface, the spatio-temporal distribution and evolution process of creeping fault can be detected and retrieved quickly by using principal component information. Taking the 2005 Sumatra M_W8.6 post-seismicslip and 2006 Guerrero slow slip event for examples, spatio-temporal inversion of fault creep is rapid realized. The results agree well with previous research.