Academic Journal of Engineering and Technology Science, 2022, 5(5); doi: 10.25236/AJETS.2022.050501.
School of Architecture Engineering, Jiangxi College of Applied Technology, Ganzhou, 341000, China
Ionized rare-earth is a special kind of soil, which contains free ions soluble in water, and its conductivity is affected by both ion concentration and water content. Mastering the waveform properties of geological radar in this kind of soil layer under different water content conditions is helpful to improve the accuracy of post-interpretation. To obtain the interpretation properties, the model experiment was proposed. Firstly, the rectangular model box was prepared by self-made, and filled with on-site soil samples. Then, the water content of the model fill was controlled by manual configuration, and the waveform image was obtained by detecting the model fill with geological radar. Furtherly, The IDSP interpretation program was used to pre-process the waveform image, such as filtering and energy gain. The results show that when the water content is more than 30%, the electromagnetic loss is significant and the reflection intensity is sharply reduced, meanwhile the spectrum energy is concentrated with obvious low frequency, and the main frequency distribution range is 150-400MHz. The results can provide relevant reference for geological radar detection in ionized rare-earth.
Ionized rare-earth, Geological radar, Model experiment, Water content, Post-interpretation
Xia Wu. Interpretation properties of geological radar for ionized rare-earth based on model experiment. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 5: 1-6. https://doi.org/10.25236/AJETS.2022.050501.
 Chu, W. Schroeder, D.M; Siegfried, M.R. Retrieval of Englacial Firn Aquifer Thickness From Ice-Penetrating Radar Sounding in Southeastern Greenland. Geophys Res Lett. 2018, 45, 11770-11778.
 Xu, S. Study on the Law of Dielectric Constants and Water and Salt Transport in Unsaturated Soils under Freezing and Thawing. Master Thesis. Northeast Forestry University, Harbin, China, 2018.
 Lei, L. Tiyip, T. Ding, J.L. Jiang, H.N. Yao, Y. Sun, Y.M. Xia, J. Kelimu, A. Constant characteristic and model verification of saline soil dielectric in arid area. Trans. Chin Soc Agr Eng. 2013, 29, 125-133.
 Wu, Y. R. Wang, W. Z. Zhao, S. J. Liu, S. H. Dielectric Properties of Saline Soils and an Improved Dielectric Model in C-Band. IEEE Trans Geosci Remote. 2015, 53, 440-452.
 Zhang, S.S. Wang, Y.W. Yang, X.H. Wang, L. Zhang, W.W. Zhang, X.L. Simplified predication model of salt expansion rate for gravel sulfite saline soil. Chin. J. Highway Transport. 2015, 28, 1-7+14.
 Wu, F.S. Hua, X.M. Study of High Precision Forward Recognition of Cavities behind Tunnel Lining based on Ground Pene-trating Radar. Tunn Constr. 2017, 37, 13-19.
 Liu, G.S. Yang, H.D. Tang, J.C. Numerical investigation for responses of electrical logging− while−drilling in complex for-mations. J. Cent South Univ (Sci Technol). 2013, 44, 656-661.
 Wang, Z.G. Jin, J. Breswter angle and phase loss of electromagnetic waves at interface between dielectric and metamaterial. J. TONGJI Univ. 2015, 43, 938-943.
 Zajicova, K. Chuman, T. Application of ground penetrating radar methods in soil studies: A review. Geoderma. 2019, 343, 116-129.
 Zhao, W. Comparison of Application Efficient of Several Common Electromagnetic Wave CT Imaging Methods. Chin. J. Eng Geophys. 2019, 16, 749-754.
 Lee, J.S. Yu, J.D. Non-destructive Method for Evaluating Grouted Ratio of Soil Nail Using Electromagnetic Wave. J. Nondestruct Eval. 2019, 38, 1-15.
 Zhou, Q. Jiang, Y. Optimized Transmission Model of Electromagnetic Wave in Underground Coal Mine Based on Particle Swarm Optimization. Coal Technol. 2019, 38, 160-162.
 Levatti, H.U. Prat, P.C. Ledesma, A. Cuadrado, A. Cordero, J.A. Experimental Analysis of 3D Cracking in Drying Soils Using Ground-Penetrating Radar. Geotech Test J. 2017, 40, 221-243.
 Wen, S.R. Wu, X. Dang, J.T. Qiu, Y.J. Ground Penetrating Radar Advanced Detection and Interpretation of saline soil. Central South University Press, Changsha, China, 2021.
 You, J. Qi, Y.M. Shao, G.Y. Ma, C. Yang, Y.Q. Pei, Y.F. Hydrochemical Characteristics and Main Ion Sources of Shallow Groundwater in Zihe River Source Region, Shandong, China. J. Guangxi Norm Univ (Nat Sci Ed.). 2020, 38, 132-139.