Abstract Based on the observational data of GPS regional stations in Yunnan area from 2011 to 2016, this paper uses GAMIT/GLOBK software to process observed data, utilizing a high-precise data processing strategy. After deducing the coseismic effect and region Euler uniform rotation vector with the GPS horizontal velocity field relative to the Eurasian plate, we get the regional GPS horizontal velocity field and use it as input data. Finally, using the multi-scale spherical wavelet model that can be decomposed and selected according to the density of GPS stations, we obtain the GPS strain field in Yunnan province at resolution scales 6, 7, 8 and 9. Based on historical MS5 earthquakes in Yunnan province, and the faults such as Xiaojiang and Honghe faults, we analyze the spatial distribution characteristics of the strain field. The results show that, in the integrated solution processing of regional strain field, the spherical wavelet method can adapt to the density change of the stations, and estimate surface strain field with multi-scale. Using multi-scale spherical wavelet to get integral solution strain field is an effective method, showing robust results. The results are in good agreement with historical earthquakes and regional fracture properties. The analysis results of principal strain, dilatation and shear strain are coincidence, regular, and in good agreement with regional historical seismic information and the active faults in the areas. From the result of principal strain rate, dilatation and maximum shear rate in the Yunnan area, which is shown by the spherical wavelet analysis: a) the Honghe fault may be a tectonic fault with important tectonic significance. Strain characteristics indicate that the Yunnan area is divided into two characteristic areas by the Honghe fault; b) the Ludian, Tengchong, Puer, Dali areas may present more intense seismic activity; c) the Songming area in Xiaojiang fault zone shows a high anomaly in multi-scale strain characteristics, and the seismic monitoring activities of this area in the later stage should be a focus for further research.
GAO Han,ZHANG Ming,QIN Shanlan et al. Analysis the Strain Characteristics of Yunnan:Based on Multi-Scale Spherical Wavelet[J]. jgg, 2018, 38(12): 1232-1237.
GAO Han,ZHANG Ming,QIN Shanlan et al. Analysis the Strain Characteristics of Yunnan:Based on Multi-Scale Spherical Wavelet[J]. jgg, 2018, 38(12): 1232-1237.