Non explicit hidden danger slope electromagnetic modeling and analysis of ground air transient electromagnetic response characteristics

RuiXu SHU, WeiYing CHEN, ZhiPeng QI

Prog Geophy ›› 2025, Vol. 40 ›› Issue (6) : 2670-2685.

PDF(12495 KB)
Home Journals Progress in Geophysics
Progress in Geophysics

Abbreviation (ISO4): Prog Geophy      Editor in chief:

About  /  Aim & scope  /  Editorial board  /  Indexed  /  Contact  / 
PDF(12495 KB)
Prog Geophy ›› 2025, Vol. 40 ›› Issue (6) : 2670-2685. DOI: 10.6038/pg2025II0489

Non explicit hidden danger slope electromagnetic modeling and analysis of ground air transient electromagnetic response characteristics

Author information +
History +

Abstract

Landslides, as a common geological hazard, often occur with enormous destructive power and loss of life and property. Non explicit landslides are difficult to detect and warn of in a timely manner due to their lack of deformation signs and landslide terrain features. Therefore, detecting potential landslide risks in advance through non-contact detection methods is of great significance for preventing geological disasters. The semi aerial transient electromagnetic method has advantages over other geophysical exploration methods in terms of detection depth, detection efficiency, resolution, and applicability to complex terrain. It has shown great potential in the detection of non explicit hidden slope bodies. However, existing research and applications have not clearly defined the effects of different terrain conditions, differences in landslide structures, and different emission observation parameters on the semi airborne transient electromagnetic detection capability. Therefore, we conducted forward numerical simulations based on a typical non explicit landslide model and analyzed the semi airborne electromagnetic response characteristics of non explicit landslides. Firstly, three typical three-dimensional geoelectric models of non explicit landslides were constructed. Then, finite element simulations were used to obtain semi aerial transient electromagnetic responses under different device parameters. Furthermore, the response characteristics were analyzed and summarized based on measured data. The final location of the source will have a significant impact on the detection results, and the source should be placed on a gentle and sloping terrain during detection; And when there is a sudden change in the electrical interface underground, the forward modeling results will undergo a sign change phenomenon, which can point to the boundary of the landslide. The experimental results show that the forward calculation results are reliable, and the conclusions obtained can lay the foundation for the application of semi aerial transient electromagnetic method in landslide detection in the future.

Key words

Landslide / Semi aerial transient electromagnetic method / Forward modeling / Fine modeling

Cite this article

Download Citations
RuiXu SHU , WeiYing CHEN , ZhiPeng QI. Non explicit hidden danger slope electromagnetic modeling and analysis of ground air transient electromagnetic response characteristics[J]. Progress in Geophysics. 2025, 40(6): 2670-2685 https://doi.org/10.6038/pg2025II0489

References

Bolstad P V , Stowe T . An evaluation of DEM accuracy: Elevation, slope, and aspect. Photogrammetric Engineering and Remote Sensing, 1994, 60 (11): 1327- 1332.
Fauchard C , Guilbert V , Antoine R , et al. Diachronic UAV study of coastal badlands supported by geophysical imaging in the context of accelerated erosion processes. Landslides, 2023, 20 (5): 1065- 1082.
Guo X J , Huang X Y , Jia Y G . Forward modeling of different types of landslides with multi-electrode electric method. Applied Geophysics, 2005, 2 (1): 14- 20.
Kozák M , Šilhán K . Contrasting landslide activity on slopes with different structural geology: evidence from dendrogeomorphic analysis. Landslides, 2023, 20 (9): 1893- 1903.
Li X , Zhang Y Y , Lu X S , et al. Inverse Synthetic Aperture Imaging of Ground-Airborne transient electromagnetic method with a galvanic source. Chinese Journal of Geophysics, 2015, 58 (1): 277- 288.
Li X , Hu W M , Xue G Q . 3D modeling of multi-radiation source semi-airborne transient electromagnetic response. Chinese Journal of Geophysics, 2021, 64 (2): 716- 723.
Lin J , Xue G Q , Li X . Technological innovation of semi-airborne electromagnetic detection method. Chinese Journal of Geophysics, 2021, 64 (9): 2995- 3004.
Liu C S , Zhang M , Ma J F , et al. Divergence of tipper vector imaging for ground-airborne frequency-domain electromagnetic method with orthogonal sources. Journal of Electromagnetic Waves and Applications, 2020, 34 (3): 316- 329.
Liu Z , et al. Monitoring landslide hazards using semi-airborne electromagnetic surveys. Landslides, 2023, 20 (1): 101- 115.
Massonnet D , Rossi M , Carmona C , et al. The displacement field of the Landers earthquake mapped by radar interferometry. Nature, 1993, 364 (6433): 138- 142.
Ullah F , Su L J , Alam M , et al. Landslide stability investigation and subsurface deformation mapping by optimizing low-frequency GPR: A mega rainfall susceptible landslide case study (Gilgit Baltistan, Pakistan). Bulletin of Engineering Geology and the Environment, 2022, 81 (9): 373
Wang H , Li X . Using semi-airborne TEM for groundwater exploration in arid regions. Hydrogeology Journal, 2021, 29 (6): 2167- 2179.
Wu X , Xue G Q , Xiao P , et al. The removal of the high-frequency motion-induced noise in helicopter-borne transient electromagnetic data based on wavelet neural network. Geophysics, 2019a, 84 (1): K1- K9.
Wu X , Fang G Y , Xue G Q , et al. The development and applications of the helicopter-borne transient electromagnetic system CAS-HTEM. Journal of Environmental and Engineering Geophysics, 2019b, 24 (4): 653- 663.
Wu X , Xue G Q , Wang S , et al. The suppression of powerline noise for TEM with coded source based on independent component analysis. Journal of Environmental and Engineering Geophysics, 2019c, 24 (4): 513- 523.
Wu X , Xue G Q , Fang G Y , et al. The development and applications of the semi-airborne electromagnetic system in China. IEEE Access, 2019d, 7: 104956- 104966.
Xu Q , Lu H Y , Li W L , et al. Types of potential landslide and corresponding identification technologies. Geomatics and Information Science of Wuhan University, 2022, 47 (3): 377- 387.
Xue G Q , Li H , He Y M , et al. Development of the inversion method for transient electromagnetic data. IEEE Access, 2020, 8: 146172- 146181.
Zhang J , Liu Y . Application of semi-airborne transient electromagnetic method in mineral exploration. Journal of Applied Geophysics, 2020, 180: 104189
, 莹莹 , 绪山 , 等. 电性源瞬变电磁地空逆合成孔径成像. 地球物理学报, 2015, 58 (1): 277- 288.
, 伟明 , 国强 . 多辐射源地空瞬变电磁响应三维数值模拟研究. 地球物理学报, 2021, 64 (2): 716- 723.
, 国强 , . 半航空电磁探测方法技术创新思考. 地球物理学报, 2021, 64 (9): 2995- 3004.
, 会燕 , 为乐 , 等. 滑坡隐患类型与对应识别方法. 武汉大学学报(信息科学版), 2022, 47 (3): 377- 387.

感谢审稿专家提出的修改意见和编辑部的大力支持!

RIGHTS & PERMISSIONS

Copyright ©2025 Progress in Geophysics. All rights reserved.
PDF(12495 KB)

Accesses

Citation

Detail

Sections
Recommended

/