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Erschienen in: Environmental Earth Sciences 8/2016

01.04.2016 | Original Article

Resistivity imaging technique to delineate shallow subsurface cavities associated with old coal working: a numerical study

verfasst von: Prasenjit Das, Priya R. Mohanty

Erschienen in: Environmental Earth Sciences | Ausgabe 8/2016

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Abstract

Subsidence is an environmental hazard due to subsurface cavities associated with abandoned coal workings in the Eastern Indian coalfields. These cavities pose danger to coal mining of deeper coal seams. Most of these subsurface cavities are unapproachable as no mine plans are available. Here, an attempt has been made to detect and possible delineation of air and as well as water filled cavities applying Electrical Resistivity Imaging (ERI) technique using dipole–dipole, pole–dipole and Wenner–Schlumberger arrays. Models are simulated with a reasonable resistivity value of formations considering board and pillar mining environment in multilayer earth. The inverted resistivity section corresponding to water filled cavities without a barrier could be able to detect three cavities for dipole–dipole and Wenner–Schlumberger arrays, whereas pole–dipole array could detect all four cavities. Later on, with inclusion of 1 m coal as a barrier in the model, the dipole–dipole array could be able to bring the signature of cavities, whereas pole–dipole and Wenner–Schlumberger configuration is unable to provide any signature. Similar resistivity responses are noticed for air filled cavities with and without barrier conditions. When all three arrays data are jointly inverted, there is a significant improvement in resistivity response which enables the detection of water filled as well as air filled cavities with and without a barrier.

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Metadaten
Titel
Resistivity imaging technique to delineate shallow subsurface cavities associated with old coal working: a numerical study
verfasst von
Prasenjit Das
Priya R. Mohanty
Publikationsdatum
01.04.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Environmental Earth Sciences / Ausgabe 8/2016
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI
https://doi.org/10.1007/s12665-016-5404-0

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