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EARTHQUAKE ›› 2021, Vol. 41 ›› Issue (1): 129-140.doi: 10.12196/j.issn.1000-3274.2021.01.010

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Calculative Method of Spatial Derivatives of Gravity Anomaly based on Equivalent Source and Its Application in Sichuan-Yunnan Region

LI Hong-lei1,2,3, HAN Jian-cheng1,2, CHEN Shi1,2, SHI Wen1,2, ZHANG Bei1,2   

  1. 1. Institute of Geophysics, China Earthquake Administration, Beijing 100081, China;
    2. Beijing Baijiatuan Earth Sciences National Observation and Research Station, Beijing 100095, China;
    3. State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China
  • Received:2020-10-23 Revised:2020-11-13 Online:2021-01-31 Published:2021-01-28

Abstract: Based on the comprehensive analysis of previous research results, an equivalent source model filtering and enhancement method based on Bayesian criteria is used to identify the boundary of geological bodies. Through the theoretical model experiment,we discussed the noise level in the same circumstances, the influence of different algorithms for the calculation results. The model experimental results show that compared with the direct calculation and the traditional Gaussian filtering enhancement technique, the new algorithm can effectively eliminate the traditional algorithm in common to the problem of noise of overly sensitive geological boundary shape distortion smaller. Subsequently, this method was used to process the gravity data in Sichuan-Yunnan region, and the application effects of amplitude of vertical gradient (AVG), total horizontal gravity gradient (THD), amplitude of analytic signal (AAS), and vertical gradient of total horizontal derivative (VGHD) of this region were compared and analyzed. The results of this study provide the information of tectonic zoning in the Sichuan-Yunnan region, and have important guiding significance for tectonic evolution, seismic distribution and related dynamic analysis for this region.

Key words: The equivalent source, Filtering enhancement, Bayesian optimization, Sichuan and Yunnan region, Boundary characteristics

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