TY - JOUR

T1 - Numerical simulation of ground-penetrating radar data for studying the geometry of fault zone

AU - Bricheva, Svetlana S.

AU - Dubrovin, Ivan O.

AU - Lunina, Oksana V.

AU - Denisenko, Ivan A.

AU - Matasov, Victor M.

AU - Turova, Irina V.

AU - Entin, Andrey L.

AU - Panin, Andrey V.

AU - Deev, Evgeny V.

N1 - Funding Information: The numerical simulations and the GPR survey in the Gorny Altai were supported by the Russian Science Foundation (project number 19-17-00179). GPR data analysis has been supported by the RUDN University Strategic Academic Leadership Program. The Russian Foundation for Basic Research (project number 18-05-00389) funded Gorny Altai's paleoseismological study. In the Baikal region, trenching was carried out under the basic project of academic research work (project number FWEF-2021-0009) in the Institute of the Earth's Crust, SB RAS (Funding organisation: Ministry of Science and Higher Education of the Russian Federation); GPR survey was funded by Russian Foundation for Basic Research (project number 19-35-90003). Data analysis was performed using the infrastructure of IGRAS within the framework of the State-commissioned task No. 0148-2019-0005. Funding Information: The numerical simulations and the GPR survey in the Gorny Altai were supported by the Russian Science Foundation (project number 19‐17‐00179). GPR data analysis has been supported by the RUDN University Strategic Academic Leadership Program. The Russian Foundation for Basic Research (project number 18‐05‐00389) funded Gorny Altai's paleoseismological study. In the Baikal region, trenching was carried out under the basic project of academic research work (project number FWEF‐2021‐0009) in the Institute of the Earth's Crust, SB RAS (Funding organisation: Ministry of Science and Higher Education of the Russian Federation); GPR survey was funded by Russian Foundation for Basic Research (project number 19‐35‐90003). Data analysis was performed using the infrastructure of IGRAS within the framework of the State‐commissioned task No. 0148‐2019‐0005. Publisher Copyright: © 2021 European Association of Geoscientists & Engineers Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/4

Y1 - 2021/4

N2 - Palaeoseismology studies the footprints of ancient earthquakes to improve the knowledge about the modern seismicity of the territory. A ground-penetrating radar (GPR), among other geophysical methods, is used for quick determination of shallow stratigraphy – displaced, oblique layers within the fault zone. GPR data interpretation from diverse and complex reflection patterns of the fault zone heavily depends on the interpreter's experience. The range of different fault zone parameters in which this method can be successfully applied has not yet been investigated. We used a numerical simulation of GPR data to determine how GPR images the elements of faults (fault plane, hanging wall, footwall) in comparison with other reflections. Furthermore, we studied which parameters have the most significant impact on GPR wave patterns. We performed a series of numerical models of a fault, changing its geometry with increasing complexity from elementary models to realistic ones. The resulting synthetic profiles allowed finding specific GPR signatures from the fault plane, the hanging wall and the footwall. We collected field GPR data from two different fault zones and examined them for verification.

AB - Palaeoseismology studies the footprints of ancient earthquakes to improve the knowledge about the modern seismicity of the territory. A ground-penetrating radar (GPR), among other geophysical methods, is used for quick determination of shallow stratigraphy – displaced, oblique layers within the fault zone. GPR data interpretation from diverse and complex reflection patterns of the fault zone heavily depends on the interpreter's experience. The range of different fault zone parameters in which this method can be successfully applied has not yet been investigated. We used a numerical simulation of GPR data to determine how GPR images the elements of faults (fault plane, hanging wall, footwall) in comparison with other reflections. Furthermore, we studied which parameters have the most significant impact on GPR wave patterns. We performed a series of numerical models of a fault, changing its geometry with increasing complexity from elementary models to realistic ones. The resulting synthetic profiles allowed finding specific GPR signatures from the fault plane, the hanging wall and the footwall. We collected field GPR data from two different fault zones and examined them for verification.

KW - Faults

KW - Finite-difference

KW - Geohazard

KW - Ground-penetrating radar

KW - Numerical modelling

UR - http://www.scopus.com/inward/record.url?scp=85104478598&partnerID=8YFLogxK

U2 - 10.1002/nsg.12153

DO - 10.1002/nsg.12153

M3 - Article

AN - SCOPUS:85104478598

VL - 19

SP - 261

EP - 277

JO - Near Surface Geophysics

JF - Near Surface Geophysics

SN - 1569-4445

IS - 2

ER -