Delineation of leachate pathways using electrical methods: case history on a waste plaster landfill in South Korea

Song, Sung‐Ho; Cho, In‐Ky; Lee, Gyusang; Yong, Hwan-Ho; Um, Jae-Yeon

doi:10.1080/08123985.2019.1700109

Cited by 6 publications

(1 citation statement)

References 17 publications

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“…On the contrary, geophysical methods are usually used to identify seepage in dams and provide effective information for follow-up treatment [1]. The main geophysical methods include ground-penetrating radar [2], self-potential [3,4], and electrical resistivity tomography [5,6]. Electrical resistivity tomography (ERT) is highly prevalent among the geophysical methods for engineering exploration .…”

Section: Introductionmentioning

confidence: 99%

Detection of Seepage Paths in Dam by Electrical Resistivity Tomography

Guo,

Cui,

Xie

et al. 2023

J. Phys.: Conf. Ser.

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The stability of the dam can be compromised by water erosion and seepage, which primarily affect the resistivity distribution underground. Seepage pathways in the dam are detected through electrical resistivity tomography (ERT), utilizing variations in resistivity for delineation. The 2D profiles show that the resistivity structure of the dam is relatively higher resistivity values (100~400Ωm), while the seepage paths exhibit significantly lower resistivity values (10–50 Ω m). it can outline five seepage paths.

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Section: Introductionmentioning

confidence: 99%

Detection of Seepage Paths in Dam by Electrical Resistivity Tomography

Guo,

Cui,

Xie

et al. 2023

J. Phys.: Conf. Ser.

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Integrated Interpretation of Magnetic and ERT Data to Characterize a Landfill in the North-West of Cologne, Germany

Ibraheem

Tezkan

Bergers

2021

Pure Appl. Geophys.

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Electrical resistivity tomography (ERT) and ground magnetic surveys were applied to characterize an old uncontrolled landfill in a former exploited sand and gravel quarry in an area to the north-west of the city of Cologne, Germany. The total magnetic field and its vertical gradient were recorded using a proton precession magnetometer to cover an area of about 43,250 m2. The magnetic data were transferred to the frequency domain and then reduced to the north magnetic pole. The amplitude of the analytical signal was calculated to define the magnetic materials within and outside the landfill. Eight ERT profiles were constructed based on the results of the magnetic survey using different electrode arrays (Wenner, dipole–dipole, and Schlumberger). In order to increase both data coverage and sensitivity and to decrease uncertainty, a non-conventional mixed array was used. The subsurface resistivity distributions were imaged using the robust (L1-norm) inversion method. The resultant inverted subsurface true resistivity data were presented in the form of 2D cross sections and 3D fence diagram. These non-invasive geophysical tools helped us to portray the covering soil, the spatial limits of the landfill, and the depth of the waste body. We also successfully detected low resistivity zones at deeper depths than expected, which probably be associated with migration pathways of the leachate plumes. The findings of the present study provide valuable information for decision makers with regards to environmental monitoring and assessment.

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