Research on typical soil physical properties in a mining area: Feasibility of three-dimensional ground penetrating radar detection

被引:0
|
作者
Gubai Luo
Yingui Cao
Hanxiao Xu
Geng Yang
Shufei Wang
Yuhan Huang
Zhongke Bai
机构
[1] China University of Geosciences,School of Land Science and Technology
[2] Ministry of Natural Resources,Key Laboratory of Land Consolidation and Rehabilitation
来源
关键词
Ground Penetrating Radar; Accurate reclamation; Soil moisture content; Effective soil layer thickness; Soil gravel content;
D O I
暂无
中图分类号
学科分类号
摘要
The mining and reclaiming techniques of open-pit coal mines will affect the physical properties of the soil and the growth of vegetation. The traditional method of obtaining soil physical properties is time-consuming and laborious, so developing a rapid and non-destructive method for detecting typical soil physical properties in mining areas is of great significance for reclamation work. To study the typical soil physical properties of the reclaimed land in the mining area, we took the dumping sites of the Antaibao Open-pit Mine of China Coal as the research object and obtained measured data through the Ground Penetrating Radar (GPR) detection method and the soil profile sampling method. Then, the image analysis method, statistical analysis method and comparative analysis method were used to analyze the spatial variability for the soil moisture content, the effective soil layer thickness and the soil gravel content in the reclamation area. The results support the following conclusions: (1) The typical soil physical properties, namely, the soil moisture content, the effective soil layer thickness and the soil gravel content, of the reclaimed land in the mining area vary spatially. (2) Locally strong and fluctuating strong reflections in the 3D GPR image indicate that the detected sample is partially rich in water, and the spatial variability in the sudden moisture content of the reclamation in the mining area can be analyzed. (3) A low-frequency signal with good continuity in the 3D GPR image indicates that there is soil stratification under the detected sample, and the depth of the low-frequency signal with good continuity in the 3D GPR image can be used to characterize the effective soil layer in the reclaimed area. (4) The soil gravel content of the reclaimed soil can be analyzed from the statistics of the number of isolated gravel signals in the 3D GPR image. The greater the number of isolated gravel signals is, the higher the soil gravel content is. These conclusions, from both horizontal and vertical perspectives, suggest that 3D GPR images can be used to determine the typical physical properties of soil in a reclaimed land. These results can provide technical support for the efficient reclamation of a mining area and related restoration work.
引用
收藏
相关论文
共 50 条
  • [21] Ground-penetrating radar techniques and three-dimensional computer mapping in the American Southwest
    Conyers, LB
    Cameron, CM
    JOURNAL OF FIELD ARCHAEOLOGY, 1998, 25 (04) : 417 - 430
  • [22] Automatic reconstruction of three-dimensional root system architecture based on ground penetrating radar
    Fan, Guoqiu
    Liang, Hao
    Zhao, Yandong
    Li, Yinghang
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 197
  • [23] Research on the detection and identification method of internal cracks in semi-rigid base asphalt pavement based on three-dimensional ground penetrating radar
    Zhu, Haoran
    Wei, Guofang
    Ma, Dongsheng
    Yu, Xin
    Dong, Chen
    MEASUREMENT, 2025, 417
  • [24] Ground Penetrating Radar (GPR) Identification Method for Agricultural Soil Stratification in a Typical Mollisols Area of Northeast China
    Weimin Ruan
    Baojiang Liu
    Huanjun Liu
    Hang Dong
    Yueyu Sui
    Chinese Geographical Science, 2023, 33 : 664 - 678
  • [25] Ground Penetrating Radar (GPR) Identification Method for Agricultural Soil Stratification in a Typical Mollisols Area of Northeast China
    Ruan, Weimin
    Liu, Baojiang
    Liu, Huanjun
    Dong, Hang
    Sui, Yueyu
    CHINESE GEOGRAPHICAL SCIENCE, 2023, 33 (04) : 664 - 678
  • [26] Ground Penetrating Radar(GPR) Identification Method for Agricultural Soil Stratification in a Typical Mollisols Area of Northeast China
    RUAN Weimin
    LIU Baojiang
    LIU Huanjun
    DONG Hang
    SUI Yueyu
    ChineseGeographicalScience, 2023, 33 (04) : 664 - 678
  • [27] Ground Penetrating Radar: Water Table Detection Sensitivity to Soil Water Retention Properties
    Saintenoy, Albane
    Hopmans, Jan W.
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2011, 4 (04) : 748 - 753
  • [28] Three-dimensional convolutional neural network-based underground object classification using three-dimensional ground penetrating radar data
    Khudoyarov, Shekhroz
    Kim, Namgyu
    Lee, Jong-Jae
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2020, 19 (06): : 1884 - 1893
  • [29] Three-dimensional ground-penetrating radar methodologies for the characterization and volumetric reconstruction of underground tunneling
    Nunez-Nieto, X.
    Solla, M.
    Novo, A.
    Lorenzo, H.
    CONSTRUCTION AND BUILDING MATERIALS, 2014, 71 : 551 - 560
  • [30] A fully three-dimensional simulation of a ground-penetrating radar over lossy and dispersive grounds
    Uduwawala, Disala
    Gunawardena, Aruna
    2006 INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS, VOLS 1 AND 2, 2006, : 143 - +