Application of electrical resistivity tomography (ERT) technique to detect underground cavities in a karst area of South Korea

Park, Mi Kyung; Park, Samgyu; Yi, Myeong‐Jong; Kim, Changryol; Son, Jung-Sul; Kim, Jung Ho; Abraham, Adepelumi Adekunle

doi:10.1007/s12665-013-2658-7

Cited by 47 publications

(18 citation statements)

References 13 publications

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“…When karst cavities collapse, they can be filled with surrounding soil or with limestone material from a higher level. Low resistive zones corresponding to clay-filled karst cavities in a limestone formation have been detected in previous research (Park et al 2014).…”

Section: Geological Processessupporting

confidence: 67%

Investigations of a Cretaceous limestone with spectral induced polarization and scanning electron microscopy

Johansson¹,

Sparrenbom

Fiandaca

et al. 2016

Geophys. J. Int.

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Section: Geological Processessupporting

confidence: 67%

Investigations of a Cretaceous limestone with spectral induced polarization and scanning electron microscopy

Johansson¹,

Sparrenbom

Fiandaca

et al. 2016

Geophys. J. Int.

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“…The high-density electric technique is based on the electrical differences among underground media. Using an artificial electric field, this method permits one to infer the existence of geologic bodies in the subsurface by analysing currents conducted through rock or soil (Sjödahl et al 2010;Huang et al 2013;Mi et al 2014). Clay beds, karst cracks, and water-bearing caves commonly have low electric resistivity while sand beds and intact limestone generally have high resistivity.…”

Section: Survey Methods and Layout Of Survey Lines Selection Of Survementioning

confidence: 99%

Investigation of karst collapses using integrated geophysical methods: an example from Conghua district, Guangzhou city, China

Chengliang

Zhou²,

Gan³

et al. 2020

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Integrated geophysical methods were used to investigate the geological conditions of karst collapses in Aotou, Conghua District, Guangzhou City. Based on audio frequency magnetotelluric (AMT) soundings, high-density electric signals and microtremors, a series of features, including the soil structure and thickness, faults, and hidden karst, were detected from shallow to deep subsurface regions in three-dimensional (3-D) space. These were then compared with geologic and drilling data. The measurements of micro-vibrations and high-density electric signals revealed that the strata in the collapsed area consists of clay and medium-grain sand, which is approximately 8–15 m thick and arranged as a multiple-element structure. The AMT soundings uncovered a hidden structure in the subsurface, which lies at the core of a syncline and adjacent to a contact zone between soluble limestone and non-soluble granite. Combined with the geologic data, the survey using the high-density electric method also showed that the study area hosts the Shidengzi Formation from the Datang Stage of the lower Carboniferous, which contain carbonaceous micrite and dolomitic limestone, locally intercalated with thin quartz siltstone, with well-developed karst. Collectively, the soil structure, hidden structure in the subsurface, and karst development provide the primary conditions for collapses. The main triggering factors for the karst collapses are seasonal variations in groundwater levels and excessive groundwater withdrawals. These results can provide guidance for the selection and application of geophysical methods for the examination of this issue in other areas with similar geology.

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“…Only in the case of conductive cavity modeling, when the water table is above the cavity, did we use a resistivity value of 450 Ω•m for the host limestone [38,40]. We used the resistivity value of 10,000 Ω•m for the air-filled cavity [11], 90 Ω•m for the cavity filled with dry clay [41], and 50 Ω•m for the cavity filled with saturated clay [33]. The arrays such as DD, PD, WS, and PP were used for surface probing, which apply 89 electrodes with 1 m spacing.…”

Section: Forward-inverse Modelingmentioning

confidence: 99%

“…Among the Wenner, dipole-dipole, poledipole, and pole-pole arrays used for detecting the cleared-wall foundations, the Wenner and dipole-dipole arrays were selected as the best methods [32]. From the numerical model-ing using the dipole-dipole, pole-dipole, dipole-pole, and pole-pole arrays, the pole-dipole array showed the best result for modeling sinkhole [33]. The dipole-dipole array imaged the sinkhole better than the Wenner and Schlumerger arrays [21]; in contrast, the Wenner array showed better model resolution than the dipole-dipole array for surveying the underground three-dimensional cavity [34].…”

Section: Introductionmentioning

confidence: 99%

Uncertainty of the 2D Resistivity Survey on the Subsurface Cavities

2021

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We examined the uncertainty of the two-dimensional (2D) resistivity method using conceptual cavity models. The experimental cavity study was conducted to validate numerical model results. Spatial resolution and sensitivity to resistivity perturbations were also assessed using checkerboard tests. Conceptual models were simulated to generate synthetic resistivity data for dipole-dipole (DD), pole-dipole (PD), Wenner–Schlumberger (WS), and pole-pole (PP) arrays. The synthetically measured resistivity data were inverted to obtain the geoelectric models. The highest anomaly effect (1.46) and variance (24,400 Ω·m) in resistivity data were recovered by the DD array, whereas the PP array obtained the lowest anomaly effect (0.60) and variance (2401 Ω·m) for the shallowest target cavity set at 2.2 m depth. The anomaly effect and variance showed direct dependency on the quality of the inverted models. The DD array provided the highest model resolution that shows relatively distinct anomaly geometries. In contrast, the PD and WS arrays recovered good resolutions, but it is challenging to determine the correct anomaly geometries with them. The PP array reproduced the lowest resolution with less precise anomaly geometries. Moreover, all the tested arrays showed high sensitivity to the resistivity contrasts at shallow depth. The DD and WS arrays displayed the higher sensitivity to the resistivity perturbations compared to the PD and PP arrays. The inverted models showed a reduction in sensitivity, model resolution, and accuracy at deeper depths, creating ambiguity in resistivity model interpretations. Despite these uncertainties, our modeling specified that two-dimensional resistivity imaging is a potential technique to study subsurface cavities. We inferred that the DD array is the most appropriate for cavity surveys. The PD and WS arrays are adequate, while the PP array is the least suitable for cavity studies.

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Application of electrical resistivity tomography (ERT) technique to detect underground cavities in a karst area of South Korea

Cited by 47 publications

References 13 publications

Investigations of a Cretaceous limestone with spectral induced polarization and scanning electron microscopy

Investigations of a Cretaceous limestone with spectral induced polarization and scanning electron microscopy

Investigation of karst collapses using integrated geophysical methods: an example from Conghua district, Guangzhou city, China

Uncertainty of the 2D Resistivity Survey on the Subsurface Cavities

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