The paper presents a comparative analysis of crustal deformation parameters in the Altai-Sayan Mountain Region (ASR) calculated using seismic (seismotectonic deformations, STD) and GNSS (Global Navigation Satellite System) data. The analysis is based on three characteristics of strain rate tensors: direction of horizontal shortening axes, sum of horizontal components (XX + YY, dilatancy, change in horizontal area) and deformation intensity. The analysis was carried out for two regions where the most detailed data were obtained using the STD method: Mountain Altai and eastern part of the ASR (Tuva Highlands, southern part of Eastern Sayan Mountains and Southern Baikal region). Quantitative and qualitative comparison estimates are obtained. Both methods uniformly characterize deformation processes in the study areas. The noted differences are associated either with deficit of seismic data or with low density of GNSS observation points.

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Comparison of Estimates of Crustal Deformations in the Altai-Sayan Mountain Region Based on Seismic and GNSS Data

  • N. А. Sycheva,
  • A. N. Mansurov,
  • V. N. Sychev

摘要

The paper presents a comparative analysis of crustal deformation parameters in the Altai-Sayan Mountain Region (ASR) calculated using seismic (seismotectonic deformations, STD) and GNSS (Global Navigation Satellite System) data. The analysis is based on three characteristics of strain rate tensors: direction of horizontal shortening axes, sum of horizontal components (XX + YY, dilatancy, change in horizontal area) and deformation intensity. The analysis was carried out for two regions where the most detailed data were obtained using the STD method: Mountain Altai and eastern part of the ASR (Tuva Highlands, southern part of Eastern Sayan Mountains and Southern Baikal region). Quantitative and qualitative comparison estimates are obtained. Both methods uniformly characterize deformation processes in the study areas. The noted differences are associated either with deficit of seismic data or with low density of GNSS observation points.