GPR based RTM imaging technology for estimating rhizome diameters and application in the western China mining area*
Cui Fan 1,2,3, Li Shuai 3, Yuan Jiong-Xuan 3, Bai Jie-Bin 3, Zhao Yu-Xuan 3, and Zhou Ying-Ging 3
1. State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 100000, China.
2. State Key Laboratory of Coal Resources and Safe Mining, CUMTB, Beijing 100083, China.
3. College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China.
Abstract The rhizome functions are of great significance to the ecological protection of the western China mining area, whose ecological management can be provided with technical support via accurate calculations of the rhizome biomass. The rhizome diameter is an important index parameter of rhizome biomass. In this study, we propose an estimation of rhizome diameters based on ground penetrating radar (GPR)-based reverse time migration (RTM) imaging technology. First, the spatial distribution of shallow rhizomes is simulated using the finite diff erence time domain method. The simulation data are examined via RTM imaging and single-channel rhizome analysis to obtain the rhizome index parameters: Δh, the width of the maximum positive peak amplitude measured at an amplitude of zero, and ΔH, the distance between the zero-amplitude position above the largest positive peak in the shallow region and the zero-amplitude position below the largest positive peak in the deeper region. The experiments of physical models verify the effectiveness of the two parameters (Δh and ΔH). and indicate that the values of Δh and ΔH are independent of the rhizome burial depth; instead, they are only related to the diameter of the rhizome. For both the numerical simulations and the physical model experiment, the estimation errors of Δh and ΔH for the rhizome diameters can be constrained to less than 6% and 5%, respectively, which shows that the estimation of the rhizome diameters using GPR based RTM imaging technology is reasonable and eff ective and its high estimation accuracy meets the technical requirements.
This study work is supported by the Open Foundation of the State Key Laboratory of Water Resource Protection and Utilization in Coal Mining (Gant No. SHJT-16-30.18), National Natural Science Foundation of China (No. 41602364), National Key R & D Program of China (No. 2016YFC0801404), State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing) (No. SKLCRSM16DCB14, SKLCRSM17DC01).
Corresponding Authors: Cui Fan (cuifan@cumtb.edu.cn).
E-mail: cuifan@cumtb.edu.cn
About author: Cui Fan (Ph.D., associate professor) is a researcher at the China University of Mining & Technology, Beijing. He graduated from the Anhui University of Science & Technology with a bachelor’s degree in Resource Management in 2006, graduated from the China University of Mining & Technology, Beijing, with a master’s degree in Earth Exploration and Information Technology in 2009, and graduated from the China University of Mining & Technology, Beijing, with a doctor’s degree in Earth Exploration and Information Technology in 2012. His research interests include applications of ground penetrating, geophysical methods for electromagnetic applications and geophysics for coal fields. Email: cuifan@cumtb.edu.cn
Cite this article:
. GPR based RTM imaging technology for estimating rhizome diameters and application in the western China mining area*[J]. APPLIED GEOPHYSICS, 2020, 17(1): 154-166.
2020, Vol. 17 
