Application of the DC resistivity method in urban geological problems of karstic areas

Plank, Zsuzsanna; Polgar, D.

doi:10.1002/nsg.12062

Cited by 8 publications

(4 citation statements)

References 22 publications

(18 reference statements)

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“…As the basis for data interpretation, open sinkhole references are used in the form of springs located on paths 1 and 6 and low resistivity anomalies to characterize karst aquifers. Generally, resistivity values are classified into three zones [32][33][34][35][36]. The measurement results obtained resistivity anomalies between 1.2 m to 485 m and were classified as shown in Table 1.…”

Section: Identification Of Sub-surface Bedding Patternsmentioning

confidence: 99%

“…The high resistivity zones are located at lines 1, 3, and 6 to a depth of 10 m to the west (Figure 2b), and lines 2, 4, and 5 to a depth of 40 m to the east (Figure 2h). According to Plank & Polgá r [36], a high resistivity zone with a depth of 40 m is interpreted as an alluvium overburden layer and material heap. This zone is below the surface on lines 1, 3, and 6 to the west.…”

Section: High Resistivity Zonementioning

confidence: 99%

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Identification of Karstification Zoning and Aquifer Channels in Karst Basin at Sendang Biru Beach, Malang-Indonesia: A Case Study

Wahid¹,

Sunaryo²,

Susilo³

et al. 2022

IJDNE

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Karst zoning and channel aquifers in the karst basin at Sendang Biru Beach, Tambak Rejo Village have been investigated. Sendang Biru Beach has a cave appearance as a karst morphological feature and is composed of limestone. Seasonal karst water sources come from springs, surface runoff, underground rivers, channels in valleys, basins, and slopes that often experience drought. The purpose of this study is to identify the presence of karst aquifers and karstification zones that are prone to damage or disasters in the karst environment. The method used is a geophysical combination of Electrical Resistivity Tomography (ERT), Induced Polarization (IP), and Self Potential (SP). The results showed that the eastern part's karstification zone was characterized by moderate to high resistivity and a chargeability zone with a moderate to high range. In addition, the existence of karst aquifer channels in the anomalous zone of low resistivity, high chargeability, and negative natural potential. This zone is located in the Qas Formation, with the water flowing from west to east and from west to south. The inundated karst aquifer that spreads in a circular pattern with different depths interspersed by limestone cracks causes a heterogeneous karstification process.

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Section: Identification Of Sub-surface Bedding Patternsmentioning

confidence: 99%

Section: High Resistivity Zonementioning

confidence: 99%

Identification of Karstification Zoning and Aquifer Channels in Karst Basin at Sendang Biru Beach, Malang-Indonesia: A Case Study

Wahid¹,

Sunaryo²,

Susilo³

et al. 2022

IJDNE

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“…We decided to use the electromagnetic induction (EMI) method and electric resistivity tomography (ERT), since we assumed that cavities, empty or those filled with some material, would be characterized by different resistivities (e.g. Lange, 1999;Martínez-Pagán et al, 2013;Cueto et al, 2018;Plank and Polgár, 2019;Bharti et al, Figure 5 Results of the improved 3D Euler deconvolution method. Left: depth estimate (black circles) over an image of the residual complete Bouguer anomaly.…”

Section: S I T E B : Ko š O L D M I N E M I E R S L Ova K I Amentioning

confidence: 99%

Mapping hazardous cavities over collapsed coal mines: Case study experiences using the microgravity method

Zahorec

Pašteka

Papčo

et al. 2020

Near Surface Geophysics

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Examples of the application of microgravity mehtod for the detection of potentially hazardous (empty) underground cavities caused by the collapse of coal mines are presented. Within these areas some alteration by previous remediation activity had occurred. This was not documented earlier and, therefore, such alteration was often unknown prior to the current investigations. We show a successful application of microgravity, leading to the detection of an empty cavity, in close proximity to where concrete injection was earlier performed. This was subsequently verified thorugh measurements in a borehole. In contrast, two other examples delivered results where the microgravity data, along with signals from other geophysical methods, led to the interpretation that subsidence resulting in the formation of sinkholes had been in-filled, and in these situations the detection of more recent cavities was considered to be unreliable. These results point to the conclusion that microgravity interpretation of cavities is an effective approach, but the success of this approach may be compromised at sites where remediation activity has already occurred; in such situations the approach should be supplemented by other geophysical methods.

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“…Direct-current resistivity is a surface geophysical method that can provide essential information for investigating subsurface geological structures by injecting electric current into the Earth and measuring the corresponding voltage. It can find applications in mineral resource exploration [1][2][3], environmental and urban geological surveys [4][5][6][7], and humanitarian geophysics [8]. Regular two-dimensional (2.5D) and three-dimensional (3D) surveys are now conducted.…”

Section: Introductionmentioning

confidence: 99%

Fictitious Point Technique Based on Finite-Difference Method for 2.5D Direct-Current Resistivity Forward Problem

Tong,

Sun

2024

Mathematics

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With the widespread application of the direct-current resistivity method, searching for accurate and fast-forward algorithms has become the focus of research for geophysicists and engineers. Three-dimensional forward modeling can be the best way to identify geo-electrical anomalies but are hampered by computational limitations because of the large amount of data. A practical compromise, or even alternative, is represented by 2.5D modeling characterized using a 3D source in a 2D medium. Thus, we develop a 2.5D direct-current resistivity forward modeling algorithm. The algorithm incorporates the finite-difference approximation and fictitious point technique that can improve the efficiency and accuracy of numerical simulation. Firstly, from the boundary value problem of the electric potential generated by the point source, the discrete expressions of the governing equation are derived from the finite-difference approach. The numerical solutions of the discrete electric potential are calculated after the approximate treatment of the boundary conditions with a finite-difference method based on a fictitious point scheme. Secondly, through the simulation of a homogeneous half-space model and a one-dimensional model, and compared with the analytical results, the correctness and stability of the finite-difference forward algorithm are verified. Lastly, through the numerical simulation for a two-dimensional model, 2.5D direct-current sounding responses are summarized, which can provide a qualitative interpretation of field data.

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Application of the DC resistivity method in urban geological problems of karstic areas

Cited by 8 publications

References 22 publications

Identification of Karstification Zoning and Aquifer Channels in Karst Basin at Sendang Biru Beach, Malang-Indonesia: A Case Study

Identification of Karstification Zoning and Aquifer Channels in Karst Basin at Sendang Biru Beach, Malang-Indonesia: A Case Study

Mapping hazardous cavities over collapsed coal mines: Case study experiences using the microgravity method

Fictitious Point Technique Based on Finite-Difference Method for 2.5D Direct-Current Resistivity Forward Problem

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