Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
GPR survey for safety ensuring at the Mirny Antarctic Station-results from the field test and numerical modelling. / Krekhov, A.K. ; Bobrov, N.Y. .
18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020 . Society of Exploration Geophysicists, 2020. p. 77-80 (SEG Global Meeting Abstracts ).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - GPR survey for safety ensuring at the Mirny Antarctic Station-results from the field test and numerical modelling
AU - Krekhov, A.K.
AU - Bobrov, N.Y.
N1 - A.K. Krekhov and N.Y. Bobrov, (2020), "GPR survey for safety ensuring at the Mirny Antarctic Station — results from the field test and numerical modelling," SEG Global Meeting Abstracts : 77-80. https://doi.org/10.1190/gpr2020-021.1
PY - 2020
Y1 - 2020
N2 - he results of GPR survey performed in the surroundings of the Mirny Antarctic station are presented together with the data of numerical modeling of GPR profiling across the cracks in the ice. Work and transport operations on the glacier are associated with the risk of loss of people and equipment due to cracks existed. Some cracks are covered by snow and can’t be visually detected. GPR is a suitable method for searching cracks and voids in the ice. GPR survey was performed in the season 2017/18 with the aim of snow airfield inspection. As a result of geophysical works some cracks were found on and under the surface, and it was decided to reduce the length of the airfield from 1300 to 1200 meters.Interpretation of GPR data is performed mainly at the base of analysis of characteristic wave pictures. Thus, synthetic data from different snow and ice structures can help in making a glacier model. Numerical modeling of GPR survey with gprMax package has shown that introducing fractal irregularities in the walls of cracks leads to the wave patterns similar to the real field data. Synthetic radargrams for several types of cracks were obtained. It was confirmed that multiple hyperbolic reflections, by which cracks are usually identified on radargrams, are contributed by inhomogeneities of different scales on the side walls of cracks.
AB - he results of GPR survey performed in the surroundings of the Mirny Antarctic station are presented together with the data of numerical modeling of GPR profiling across the cracks in the ice. Work and transport operations on the glacier are associated with the risk of loss of people and equipment due to cracks existed. Some cracks are covered by snow and can’t be visually detected. GPR is a suitable method for searching cracks and voids in the ice. GPR survey was performed in the season 2017/18 with the aim of snow airfield inspection. As a result of geophysical works some cracks were found on and under the surface, and it was decided to reduce the length of the airfield from 1300 to 1200 meters.Interpretation of GPR data is performed mainly at the base of analysis of characteristic wave pictures. Thus, synthetic data from different snow and ice structures can help in making a glacier model. Numerical modeling of GPR survey with gprMax package has shown that introducing fractal irregularities in the walls of cracks leads to the wave patterns similar to the real field data. Synthetic radargrams for several types of cracks were obtained. It was confirmed that multiple hyperbolic reflections, by which cracks are usually identified on radargrams, are contributed by inhomogeneities of different scales on the side walls of cracks.
KW - modeling
KW - electromagnetic
KW - GPR
KW - diffraction
KW - reflection
U2 - 10.1190/gpr2020-021.1
DO - 10.1190/gpr2020-021.1
M3 - Conference contribution
T3 - SEG Global Meeting Abstracts
SP - 77
EP - 80
BT - 18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020
PB - Society of Exploration Geophysicists
T2 - 18th International Conference on Ground Penetrating Radar
Y2 - 14 June 2020 through 19 June 2020
ER -
ID: 73265855