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Exploring the geological structure of a large-scale landslide using semi-airborne TEM in the Karst area of southwest China.

Authors :
Wu, Junjie
Zhi, Qingquan
Wang, Xingchun
Deng, Xiaohong
Chen, Xiaodong
Zhao, Yi
Huang, Yue
Liu, Yuge
Xiao, Du
Source :
Journal of Geophysics & Engineering; Apr2024, Vol. 21 Issue 2, p438-450, 13p
Publication Year :
2024

Abstract

The karst strata in the southwestern mountainous areas of China are extensively developed, creating a fragile geological environment. Landslide geological disasters occur frequently in these areas due to high annual rainfall, concentrated time periods, and frequent human engineering activities. Conventional ground geophysical methods face challenges in complex terrains, making it difficult to quickly and reliably obtain underground structures in landslide-prone areas. The semi-airborne transient electromagnetic method (SATEM) combines ground-based transmission and airborne reception of electromagnetic responses. This method, characterized by large emission magnetic moment and rapid data collection in the air, offers advantages in detecting deep geological structures in complex terrain areas. This article presents the application of a newly developed loop source SATEM system, integrated with multi-rotor unmanned aerial vehicles (UAVs), to conduct deep geological structure detection experiments on a large-scale landslide. The inversion results clearly depict the spatial distribution of the Feixianguan Formation and Longtan Formation, as well as vertical fractures developed in the strata due to underground coal mining. The detection test demonstrates the applicability of the SATEM method in detecting underground structures in Karst Plateau special landform areas, providing a new detection approach for similar regions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17422132
Volume :
21
Issue :
2
Database :
Complementary Index
Journal :
Journal of Geophysics & Engineering
Publication Type :
Academic Journal
Accession number :
176847199
Full Text :
https://doi.org/10.1093/jge/gxae019