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

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.