Identification of Complex Slope Subsurface Strata Using Ground-Penetrating Radar

Identification of slope subsurface strata for natural soil slopes is essential to assess the stability of potential landslides. The highly variable strata in a slope are hard to characterize by traditional boreholes at limited locations. Ground-penetrating radar (GPR) is a non-destructive method tha...

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Main Authors: Tiancheng Wang, Wensheng Zhang, Jinhui Li, Da Liu, Limin Zhang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/2/415
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author Tiancheng Wang
Wensheng Zhang
Jinhui Li
Da Liu
Limin Zhang
author_facet Tiancheng Wang
Wensheng Zhang
Jinhui Li
Da Liu
Limin Zhang
author_sort Tiancheng Wang
collection DOAJ
description Identification of slope subsurface strata for natural soil slopes is essential to assess the stability of potential landslides. The highly variable strata in a slope are hard to characterize by traditional boreholes at limited locations. Ground-penetrating radar (GPR) is a non-destructive method that is capable of capturing continuous subsurface information. However, the accuracy of subsurface identification using GPRs is still an open issue. This work systematically investigates the capability of the GPR technique to identify different strata via both laboratory experiments and on-site examination. Six large-scale models were constructed with various stratigraphic interfaces (i.e., sand–rock, clay–rock, clay–sand, interbedded clay, water table, and V–shaped sand–rock). The continuous interfaces of the strata in these models were obtained using a GPR, and the depths at different points of the interfaces were interpreted. The interpreted depths along the interface were compared with the measured values to quantify the interpretation accuracy. Results show that the depths of interfaces should be interpreted with the relative permittivity, back-calculated using on-site borehole information instead of empirical values. The relative errors of the depth of horizontal interfaces of different strata range within ±5%. The relative and absolute errors of the V–shaped sand–rock interface depths are in the ranges of [−9.9%, 10.5%] and [−107, 119] mm, respectively. Finally, the GPR technique was used in the field to identify the strata of a slope from Tanglang Mountain in China. The continuous profile of the subsurface strata was successfully identified with a relative error within ±5%.
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spelling doaj.art-a51b831580fd4743be661e3bd2fb124c2024-01-26T18:20:09ZengMDPI AGRemote Sensing2072-42922024-01-0116241510.3390/rs16020415Identification of Complex Slope Subsurface Strata Using Ground-Penetrating RadarTiancheng Wang0Wensheng Zhang1Jinhui Li2Da Liu3Limin Zhang4Guangdong Provincial Key Laboratory of Intelligent and Resilient Structures for Civil Engineering, Shenzhen 518055, ChinaDepartment of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, ChinaGuangdong Provincial Key Laboratory of Intelligent and Resilient Structures for Civil Engineering, Shenzhen 518055, ChinaChina Construction Science & Technology Co., Ltd., Shenzhen 518118, ChinaDepartment of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong KongIdentification of slope subsurface strata for natural soil slopes is essential to assess the stability of potential landslides. The highly variable strata in a slope are hard to characterize by traditional boreholes at limited locations. Ground-penetrating radar (GPR) is a non-destructive method that is capable of capturing continuous subsurface information. However, the accuracy of subsurface identification using GPRs is still an open issue. This work systematically investigates the capability of the GPR technique to identify different strata via both laboratory experiments and on-site examination. Six large-scale models were constructed with various stratigraphic interfaces (i.e., sand–rock, clay–rock, clay–sand, interbedded clay, water table, and V–shaped sand–rock). The continuous interfaces of the strata in these models were obtained using a GPR, and the depths at different points of the interfaces were interpreted. The interpreted depths along the interface were compared with the measured values to quantify the interpretation accuracy. Results show that the depths of interfaces should be interpreted with the relative permittivity, back-calculated using on-site borehole information instead of empirical values. The relative errors of the depth of horizontal interfaces of different strata range within ±5%. The relative and absolute errors of the V–shaped sand–rock interface depths are in the ranges of [−9.9%, 10.5%] and [−107, 119] mm, respectively. Finally, the GPR technique was used in the field to identify the strata of a slope from Tanglang Mountain in China. The continuous profile of the subsurface strata was successfully identified with a relative error within ±5%.https://www.mdpi.com/2072-4292/16/2/415slopeground-penetrating radarstrata identificationsite investigationrelative permittivity
spellingShingle Tiancheng Wang
Wensheng Zhang
Jinhui Li
Da Liu
Limin Zhang
Identification of Complex Slope Subsurface Strata Using Ground-Penetrating Radar
Remote Sensing
slope
ground-penetrating radar
strata identification
site investigation
relative permittivity
title Identification of Complex Slope Subsurface Strata Using Ground-Penetrating Radar
title_full Identification of Complex Slope Subsurface Strata Using Ground-Penetrating Radar
title_fullStr Identification of Complex Slope Subsurface Strata Using Ground-Penetrating Radar
title_full_unstemmed Identification of Complex Slope Subsurface Strata Using Ground-Penetrating Radar
title_short Identification of Complex Slope Subsurface Strata Using Ground-Penetrating Radar
title_sort identification of complex slope subsurface strata using ground penetrating radar
topic slope
ground-penetrating radar
strata identification
site investigation
relative permittivity
url https://www.mdpi.com/2072-4292/16/2/415
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AT jinhuili identificationofcomplexslopesubsurfacestratausinggroundpenetratingradar
AT daliu identificationofcomplexslopesubsurfacestratausinggroundpenetratingradar
AT liminzhang identificationofcomplexslopesubsurfacestratausinggroundpenetratingradar