[an error occurred while processing this directive] Global Geology 2020, 23(4) 225-233 DOI:   10.3969/j.issn.1673-9736.2020.04.03  ISSN: 1673-9736 CN: 22-1371/P
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本文关键词相关文章
Erdaojiang District
Tonghua City
Jilin Province
high-density resistivity method
electrical resistivity structure
mountain faults
本文作者相关文章
XIN Zhonghua
HAN Jiangtao
LI Zhuoyang
LIU Lijia
PubMed
Article by Xin Z
Article by Han J
Article by Li Z
Article by Liu L
Viability of high-density resistivity method for evaluating mountain slope stability in Erdaojiang District, Tonghua City, China
XIN Zhonghua1, HAN Jiangtao1,2, LI Zhuoyang1, LIU Lijia2
1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
2. Key Laboratory of Applied Geophysics, Ministry of Land and Resources, Changchun 130026, China
摘要： The authors employ the high-density resistivity method to image the subsurface structure of a mountain in Erdaojiang District, Tonghua City, Jilin Province, China, to evaluate the potential risk of slope failure on surrounding residential areas and infrastructure, and identify a shallow fault that extends across the center of the mountain and is perpendicular to the mountain slope and accurately locate the spatial position and depth of another fault on the southern side of the mountain. The results provide an important basis for evaluating mountain slope stability. This study also demonstrates that the high-density resistivity method is effective for detecting mountain faults.
关键词： Erdaojiang District   Tonghua City   Jilin Province   high-density resistivity method   electrical resistivity structure   mountain faults  
Viability of high-density resistivity method for evaluating mountain slope stability in Erdaojiang District, Tonghua City, China
XIN Zhonghua1, HAN Jiangtao1,2, LI Zhuoyang1, LIU Lijia2
1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
2. Key Laboratory of Applied Geophysics, Ministry of Land and Resources, Changchun 130026, China
Abstract: The authors employ the high-density resistivity method to image the subsurface structure of a mountain in Erdaojiang District, Tonghua City, Jilin Province, China, to evaluate the potential risk of slope failure on surrounding residential areas and infrastructure, and identify a shallow fault that extends across the center of the mountain and is perpendicular to the mountain slope and accurately locate the spatial position and depth of another fault on the southern side of the mountain. The results provide an important basis for evaluating mountain slope stability. This study also demonstrates that the high-density resistivity method is effective for detecting mountain faults.
Keywords: Erdaojiang District   Tonghua City   Jilin Province   high-density resistivity method   electrical resistivity structure   mountain faults  
收稿日期 2020-08-29 修回日期 2020-09-27 网络版发布日期  
DOI: 10.3969/j.issn.1673-9736.2020.04.03
基金项目:

Supported by National Key R&D Program of China and Fundamental Research Funds for the Central Universities (2017YFC0601305).

通讯作者: LI Zhuoyang
作者简介:
作者Email: zhuoyang18@mails.jlu.edu.cn
参考文献：
Jiang Y L, Zhang C X, Zhou Q Q. 2008. Application of the high density resistivity method to landslide prediction. Journal of Chengdu University of Technology (Science & Technology Edition), 35(5):542-546. (in Chinese with English abstract)
Liu G X. 2005. The principle and method of electrical exploration. Beijing:Geological Publishing House, 63-69
Wang Z H. 2019. Application of Multi-electrode resistivity method in estimation of stability of mountain. Journal of Disaster Prevention and Reduction, 35(4):56-61. (in Chinese with English abstract)
Yan Y J, Meng G X, Lyu Q T, et al. 2012. The progress and prospect of the electrical resistivity imaging survey. Geophysical and Geochemical Exploration, 36(4):576-584. (in Chinese with English abstract)
Zhang W. 2010. Study on the influence of different positions of power supply electrodes on the observation data of common devices of induced polarization method:master's degree thesis. Changsha:Central South University. (in Chinese with English abstract)
Zhao G H. 2006. High density electronic prospecting and its application. Mineral Resources and Geology, 20(2):166-168. (in Chinese with English abstract)
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