Electrical Resistivity Imaging Revealed the Spatial Properties of Mine Tailing Ponds in the Sierra Minera of Southeast Spain

2009 ◽  
Vol 14 (2) ◽  
pp. 63-76 ◽  
Author(s):  
P. Martinez-Pagan ◽  
A. F. Cano ◽  
E. Aracil ◽  
J. M. Arocena
Keyword(s):  
Electrical Resistivity ◽  
Mine Tailing ◽  
Electrical Resistivity Imaging ◽  
Resistivity Imaging ◽  
Spatial Properties ◽  
Tailing Ponds ◽  
Southeast Spain

Informed experimental design for electrical resistivity imaging

2011 ◽  
Vol 9 (5) ◽  
pp. 469-482 ◽  
Author(s):  
Vanessa Nenna ◽  
Adam Pidlisecky ◽  
Rosemary Knight
Keyword(s):  
Electrical Resistivity ◽  
Experimental Design ◽  
Electrical Resistivity Imaging ◽  
Resistivity Imaging

scholarly journals Electrical resistivity imaging for the characterization of the Montaguto landslide (southern Italy)

2018 ◽  
Vol 243 ◽  
pp. 272-281 ◽  
Author(s):  
Jessica Bellanova ◽  
Giuseppe Calamita ◽  
Alessandro Giocoli ◽  
Raffaele Luongo ◽  
Maria Macchiato ◽  
...  
Keyword(s):  
Electrical Resistivity ◽  
Southern Italy ◽  
Electrical Resistivity Imaging ◽  
Resistivity Imaging

scholarly journals The behaviour of six electrode arrays used in electrical resistivity imaging to detect underground cavities: a numerical study

2021 ◽  
Author(s):  
Kamel Hebbache ◽  
Djamel Boubaya
Keyword(s):  
Electrical Resistivity ◽  
Numerical Study ◽  
Electrical Resistivity Imaging ◽  
Good Resolution ◽  
Electrode Arrays ◽  
Resistivity Imaging ◽  
True Resistivity ◽  
Underground Cavities ◽  
Resolution Model ◽  
Synthetic Models

Abstract The aim of this work is to evaluate the efficiency of six electrode arrays used in electrical resistivity imaging. Pole-Pole (PP), Pole-Dipole (PD), Wenner-Alpha (WA), Wenner-Schlumberger (WS), Dipole-Dipole (DD) and multiple Gradient (MG) electrode arrays have been selected to detect underground cavities at shallow depth. Numerical simulation has been made for three synthetic models that have been generated using Res2dmod program. Each model represents three cavities with 2m diameter, spaced 6m from each other and located at a depth of 1.5m from the surface of the ground: 1) air-filled cavity, 2) half-watered cavity and 3) full-watered cavity. The background resistivity of each model was chosen equal to 10, 50 and 250 Ωm respectively. The resistivity of the air and water were set at 106 Ωm and 1 Ωm respectively. The results show that the PD, MG, PP and WS arrays gave good resolutions and clear images, and are less contaminated by noise. The DD array is very sensitive to noise and for this reason, it gave less accurate results for the first and the second synthetic models. An exception is the third synthetic model, where a good resolution model was obtained. This means, that the DD is more efficient in mapping cavities when the background environment is moderately resistive. The shapes of resistive air-filled cavities were found more clearly than those of conductive watered cavities, for the latter, however, the true resistivity values were better estimated than for the air-filled cavities. From the results of the analysis of the inverted synthetic models, the PD, MG, PP and WS arrays show the best results among the other used electrical arrays.

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