Global Geology 2024, 27(3) 154-166 DOI:     ISSN: 1673-9736 CN: 22-1371/P

Current Issue | Archive | Search                                                            [Print]   [Close]
Information and Service
This Article
Supporting info
PDF(701KB)
[HTML]
Reference
Service and feedback
Email this article to a colleague
Add to Bookshelf
Add to Citation Manager
Cite This Article
Email Alert
Keywords
 UAV
3D forward modeling
transient electromagnetic
3D inversion
landslide model
 
Authors
WEI Laonao
LIU Yunhe* and ZHANG Bo
PubMed
Article by Wei L
Article by Liu YAZB

 UAV-based transient electromagnetic 3D forward modeling and inversion and analysis of exploration capability 

 WEI Laonao, LIU Yunhe* and ZHANG Bo 

 College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China 

Abstract

  Unmanned aerial vehicle transient electromagnetic (UAV-TEM) is a novel airborne exploration method that offers advantages such as low cost, simple operation, high exploration efffciency and suitability for near-surface exploration in complex terrain areas. To improve the accuracy of data interpretation in this method, the authors conducted a systematic three-dimensional (3D) forward modeling and inversion of the UAV-TEM. This study utilized the finite element method based on unstructured tetrahedral elements and employed the second-order backward Euler method for time discretization. This allowed for accurate 3D modeling and accounted for the effects of complex terrain. Based on these, the influence characteristics of ffight altitudes and the sizes, burial depths, and resistivities of anomalies are compared and analyzed to explore the UAV-TEM systems’ exploration capability. Lastly, four typical geoelectrical models of landslides are designed, and the inversion method based on the Gauss-Newton optimization method is used to image the landslide models and analyze the imaging effect of the UAV-TEM method on landslide geohazards. Numerical results showed that UAV-TEM could have better exploration resolution and ffne imaging of nearsurface structures, providing important technical support for monitoring, early warning, and preventing landslides and other geological hazards. 

 

Keywords  UAV   3D forward modeling   transient electromagnetic   3D inversion   landslide model
 
  
Received  Revised  Online:  
DOI:
Fund
Corresponding Authors:
Email:
About author:

References:
Similar articles
1.WANG Yongchun,ZHONG Linshan,ZHAO Han and WU Qiong . Geoid interpolation in Gongzhuling City and the 1cm quasi geoid reffnement 
 
[J]. Global Geology, 2024,27(4): 207-215
2.QIN Tao,FANG Jie,ZHANG Yanlong,DING Xin,YU Guanying and YANG Hao . Geochronology and geochemistry of Daerlong granitic complex in Linkou area, eastern Heilongjiang: petrogenesis and tectonic implications 
 
[J]. Global Geology, 2024,27(4): 177-195
3.LI SiJia,SHEN YanJie and QIAN Ye . Research on rock hand specimen naming method based on deep learning and Inception-v3 model 
 
[J]. Global Geology, 2024,27(4): 196-206
4.LI Zizhuo, LIU Yunhe* and REN Xiuyan . 3D time-domain forward modeling of airborne transient electromagnetism considering superparamagnetic effect 
 
[J]. Global Geology, 2024,27(4): 216-232
5. CHEN Xuanning, HAN Fuxing, GAO Zhenghui *,SUN Zhangqing and HAN Jiangtao . Horizontal-to-vertical spectral ratio inversion method based on multimodal forest optimization algorithm[J]. Global Geology, 2024,27(3): 167-176
6.Kovalenko S. V. 1,Kezina T. V. 2*,Kryuchko E. I. 1 and Mironov M. A. 1 . Preliminary results of lithological and palynological study of Svobodny, ancient man’s parking relic in Amur region, Russia [J]. Global Geology, 2024,27(3): 121-131
7.DU Meng,MAO Weijian,YANG Maoxin and ZHAO Jianzhi . Migration images guided high-resolution velocity modeling based on fully convolutional neural network [J]. Global Geology, 2024,27(3): 145-153
8.ZHANG Xinrong,WANG Jiayu,PING Shuaifei and LI Yaran . Changes of grain size from peat proffle in eastern mountainous area over past 2000 years, Jilin Province, Northeast China [J]. Global Geology, 2024,27(3): 132-144
9. LI Yonggang and YAN Bo . Facies logging identiffcation of intermediate-basic volcanic rocks in Huoshiling Formation of Songliao Basin[J]. Global Geology, 2024,27(2): 93-104
10.NWABUEZE Ekene Chibuike,LIANG Chenyue,SONG Zhiwei,ZHAO jiaqi,ENEZE Florence Ego and ZHENG Changqing. Deformation characteristics of granitic rocks in Erguna ductile shear zone, NE China[J]. Global Geology, 2024,27(2): 63-75
11.GUAN Yue,YU Yinghua,ZHANG Yaxiong and YUAN Hongqi . Characteristics of geological structures in Shiling and Zhuanshanhu areas of Yehe Uplift, NE China [J]. Global Geology, 2024,27(2): 105-120
12.LI Meihui,ZHENG Changqing and LIANG Chenyue . Metamorphic P-T conditions and zircon U-Pb ages of amphibolite in Laojinchang area, southern Jilin Province[J]. Global Geology, 2024,27(2): 76-92
13.JIA Zhenyang,LI Gang and FENG Fan . Numerical simulation of formation mechanism of unloading joints in granitic pluton[J]. Global Geology, 2024,27(1): 35-42
14.WU Haoran,YANG Hao,GE Wenchun,JI Zheng,DONG Yu,JING Yan and JING Jiahao . Spatial-temporal distribution and geochemistry of highly evolved Mesozoic granites in Great Xing’an Range, NE China: Discriminant criteria and geological signi?cance[J]. Global Geology, 2024,27(1): 20-34
15.WANG Weihua and WANG Tingting . Acoustic emission signal identi?cation of di?erent rocks based on SE-1DCNN-BLSTM network model [J]. Global Geology, 2024,27(1): 43-55

Copyright by Global Geology