Detection of soil physical properties of reclaimed land in open-pit mining area: feasibility of application of ground penetrating radar

• Published in: Environmental monitoring and assessment Vol. 193; no. 7; p. 392
• Main Authors: Luo, Gubai, Cao, Yingui, Xu, Hanxiao, Yang, Geng, Wang, Shufei, Huang, Yuhan, Bai, Zhongke
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01-07-2021; Springer Nature B.V
• Subjects: Atmospheric Protection/Air Quality Control/Air Pollution; Calibration; Depth; Detection; Earth and Environmental Science; Ecology; Ecotoxicology; Electromagnetic radiation; Environment; Environmental Management; Environmental monitoring; Environmental science; Feasibility studies; Gravel; Ground penetrating radar; Land reclamation; Mathematical models; Mine reclamation; Mining; Moisture content; Monitoring/Environmental Analysis; Open pit mining; Permittivity; Physical properties; Radar; Reclaimed land; Segments; Soil; Soil analysis; Soil layers; Soil moisture; Soil moisture content; Soil physical properties; Soil profiles; Soil properties; Soil surfaces; Soil water; Thickness; Velocity; Water content; Water depth; Wave velocity; Soil layering; Ground penetrating radar (GPR); Soil reconstruction; Gravel content; Soil volumetric water content; Relative permittivity
• ISSN: 0167-6369; 1573-2959
• DOI: 10.1007/s10661-021-09153-4

In order to obtain the typical soil physical properties of reclaimed land more quickly and accurately, the South Dump of the China Coal’s Antaibao Open-Pit Mine in Pingshuo was focussed on in this paper, and ground penetrating radar (GPR) technology was utilized to detect the soil physical properties of reclaimed land in the mining area. The soil profile sampling and GPR detection methods were used to acquire the data. The gravel content of surface soil was analyzed by counting the number of isolated gravel signals in GPR images. The change of effective soil thickness was analyzed by establishing the fitting relationship between calibration depth and GPR image depth. The Topp’s model was validated by comparing its inversion with the measured soil volumetric water content. And the Topp’s model was further validated by the soil volumetric water content obtained from the Topp’s model and which obtained from the wave velocity inversion. The results are as follows: (1) Based on the number of isolated gravel signals in GPR images, we could qualitatively analyze the gravel content of surface soil reclaimed in the mining area. As the number of isolated gravel signals was greater, the gravel content of the surface soil was higher. (2) Using the known relative permittivity, electromagnetic wave velocity, and soil volumetric water content, the calibration depth and the reflection depth of the target (calibrator) of the GPR images were segmented, and the correlation between them is high. The fitting relationship (
R
2
) of each segment was higher than 0.940, and the average value of the five-segment
R
2
was 0.966, which indicated more accurate detection of the effective soil thickness of the reclaimed land in the mining area. (3) GPR could be used to detect the soil volumetric water content of reclaimed land in mining area, and Topp’s model was used for calculation of soil volumetric water content. The average deviation rate between the values from Topp’s model and the measured values was 12%, and the average absolute value of the difference was 2%. In summary, the benefits of using GPR to detect soil physical properties of reclaimed land in mining area are as follows: (1) GPR can be used to detect soil layer thickness and surface gravel content faster and more accurately. (2) Topp model can also be used to calculate the soil moisture content of non-natural deposits such as reclaimed land in mining area.