Monitoring the perturbation zone near a foundation excavation with electrical resistivity tomography: Comparison between time-lapse 3D and 2D inversions in single-profile study

Kim, Bitnarae; Joung, Inseok; Cho, A-Hyun; Shin, Dong Keun; Han, Yong; Nam, Myung Jin

doi:10.1016/j.jappgeo.2022.104772

Cited by 6 publications

(9 citation statements)

References 26 publications

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“…In the 2D inversion, the excavation effect was considered through the data correction method. The 3D inversion was performed using a in-house 3D inversion algorithm that could consider the effects of excavation (Kim et al, 2022; Appendix A). In the 3D inversion, the high-resistivity excavation site was within the calculation area and in uenced the modeling.…”

Section: Inversion Of Ert Data Obtained At the Study Sitementioning

confidence: 99%

“…When analyzing the distribution of cavities and loose ground based on resistivity data, anomalies can occur; cavities have low resistivity in saturated conditions, and when there is a high water content (Galvan et al, 2011;Hong et al, 2015;Kidanu et al, 2020), while resistivity is high in unsaturated conditions (Ungureanu et al, 2017). In addition, when resistivity surveys are conducted near excavation sites, rapid changes in the current ow can have a large effect on resistivity data (Kim et al, 2022). A resistivity survey can be applied effectively in urban areas when the in uence of the surrounding environment is considered.…”

Section: Introductionmentioning

confidence: 99%

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Use of electrical resistivity tomography to detect loose ground near an excavation site in an area of urban ground subsidence in South Korea

Song

Kim

Cho

et al. 2023

Preprint

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Ground subsidence in urban areas due to excessive development and degraded underground facilities is a serious problem. Geophysical surveys have been conducted to estimate the distribution and scale of cavities and subsidence. In this study, electrical resistivity tomography (ERT) was performed near an area of road subsidence in an urban area. The subsidence arose due to groundwater leakage that carried soil into a neighboring excavation site. The ERT survey line was located between the main subsidence area and an excavation site. Because ERT data are affected by rapid topographic changes and surrounding structures, the influence of the excavation site on the data was analyzed through field-scale numerical modeling. The effect of an excavation should be considered when interpreting ERT data because it can lead to wrong anomalous results. A method for performing 2D inversion after correcting resistivity data for the effect of the excavation site was proposed. This method was initially tested using a field-scale numerical model that included the excavation site and subsurface anomaly, which was a loosened zone, and was then applied to field data. In addition, ERT data were interpreted using an existing in-house 3D algorithm, which considered the effect of excavation sites. The inversion results demonstrated that conductive anomalies in the loosened zone were greater compared to the inversion that did not consider the effects of excavation.

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Section: Inversion Of Ert Data Obtained At the Study Sitementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Use of electrical resistivity tomography to detect loose ground near an excavation site in an area of urban ground subsidence in South Korea

Song

Kim

Cho

et al. 2023

Preprint

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“…Using a 3D inversion algorithm, which was developed by Kim et al (2022) to consider the effects of the excavation region, 3D inversion of the eld ERT data was performed. For the 3D inversion, an initial model with an excavation region was assumed to be composed of two layers of alluvial and bedrock, whose resistivities are an average value of measured apparent resistivities and 1000 ohm-m, respectively.…”

Section: D Inversion Including the Excavation Regionmentioning

confidence: 99%

“…For the 3D inversion, an initial model with an excavation region was assumed to be composed of two layers of alluvial and bedrock, whose resistivities are an average value of measured apparent resistivities and 1000 ohm-m, respectively. The excavation region, whose resistivity is 10 8 ohm-m, is excluded from inversion blocks while included in forward modeling simulation in the 3D algorithm (Kim et al, 2022).…”

Section: D Inversion Including the Excavation Regionmentioning

confidence: 99%

“…When analyzing the distribution of cavities and loosened weakness zone from the resistivity data, anomalies by cavities appear low resistivity in saturated condition or with high water content (Galvan et al, 2011;Hong et al, 2015;Kidanu et al, 2020), and high resistivity in unsaturated (Ungureanu et al, 2017). In addition, in case of conducting resistivity survey near the excavation region, current ow rapidly changes near the excavation region, which affects resistivity data a lot (Kim et al, 2022). Resistivity survey can be applied in urban areas effectively with consideration of the above in uences by the surrounding environment.…”

Section: Introductionmentioning

confidence: 99%

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Electrical resistivity tomography to detect ground loosened zone near excavation region in an urban site of ground subsidence, South Korea

Song

Kim

Cho

et al. 2022

Preprint

Self Cite

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Ground subsidence in urban environment due to excessive development and deteriorated underground urban facilities is serious social problem. Geophysical surveys were applied to estimate distribution and scale of cavities and subsidence. In this study, electrical resistivity tomography (ERT) was performed near the subsidence occurred on road in urban area. The subsidence arose due to leak of groundwater and soil into neighboring excavation region. The survey line was located between the major subsidence area and excavation region. Since ERT data are affected by rapid topographic change or surrounding structure, influences of the excavation to data were analyzed through field-scale numerical modeling. The effect of excavation should be considered to interpret ERT data, as it can be estimated wrong anomaly. In 2D interpretation, a method of performing inversion after correcting the resistivity data including the effect of excavation was proposed. This method was proved first using the field-scale numerical model including excavation region and subsurface anomaly assuming loosened zone and then applied to field data. In addition, the ERT data were interpreted by using existing a 3D in-house algorithm, which can deal with excavation region. Both of inversion results demonstrated that conductive anomalies of loosen zone appeared stronger in more specific area compared to before considering the excavation effect.

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Study on the Placement Location of the Infinite Pole of an ERT Pole-Dipole Array

Wang,

2024

Arab J Sci Eng

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Monitoring the perturbation zone near a foundation excavation with electrical resistivity tomography: Comparison between time-lapse 3D and 2D inversions in single-profile study

Cited by 6 publications

References 26 publications

Use of electrical resistivity tomography to detect loose ground near an excavation site in an area of urban ground subsidence in South Korea

Use of electrical resistivity tomography to detect loose ground near an excavation site in an area of urban ground subsidence in South Korea

Electrical resistivity tomography to detect ground loosened zone near excavation region in an urban site of ground subsidence, South Korea

Study on the Placement Location of the Infinite Pole of an ERT Pole-Dipole Array

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