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EARTHQUAKE ›› 2016, Vol. 36 ›› Issue (1): 105-116.

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Application of GNSS Vertical Component with High Background Noise to Earthquake Prediction Research

SU Jian-feng, BO Wan-ju   

  1. First Crust Deformation Monitoring Center, CEA, Tianjin 300180, China
  • Received:2015-04-20 Published:2020-07-03

Abstract: Based on analysis of vertical component data from some auto-recorded GNSS stations and nationwide GNSS regional stations, we studied how to extract and use the information of vertical GNSS component under high noise background. Combined with the mechanisms of crust movement and that of earthquake generation, the possibility of strong earthquake prediction and crust movement study are further discussed with the use of GNSS vertical components. It is shown that the distribution of ascending stations and descending stations are closely related with geotectonic structures and great earthquake generation areas. Using fine data processing such as corrections based on some factors can weaken or eliminate abnormal ascending and descending. But abnormal variations of these factors are also in all probability related with great earthquake generation. These recognitions above have referential values for crust deformation research and great earthquake prediction.

Key words: GNSS vertical component, Crust movement, Strong earthquake prediction

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