2006
DOI: 10.1190/1.2198217
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2.5D resistivity modeling of embankment dams to assess influence from geometry and material properties

Abstract: Repeated resistivity measurement is a potentially powerful method for monitoring development of internal erosion and anomalous seepage in earth embankment dams. This study is part of a project to improve current longterm monitoring routines and data interpretation and increasing the understanding when interpreting existing data. This is accomplished by modeling various occurrences typical of embankment structures using properties from two rockfill embankment dams with central till cores in the north of Sweden.… Show more

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Cited by 74 publications
(58 citation statements)
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“…This distortion of vertical location is an example of the consequences of applying 2D inversion on resistivity data from measurements along dam geometries. Prior modelling studies investigated these effects more systematically (Sjödahl et al 2006). It is something that must be accepted as long as 3D inversion schemes are not available and practically usable.…”
Section: Pre-study Resultsmentioning
confidence: 99%
“…This distortion of vertical location is an example of the consequences of applying 2D inversion on resistivity data from measurements along dam geometries. Prior modelling studies investigated these effects more systematically (Sjödahl et al 2006). It is something that must be accepted as long as 3D inversion schemes are not available and practically usable.…”
Section: Pre-study Resultsmentioning
confidence: 99%
“…porous or fractured zones). This technique is widely used to detect voids [37][38][39][40][41], underground water [42][43][44], fractural zone recognition [45][46][47][48][49][50][51][52][53][54][55][56][57], and mineral exploration [58,59]. The difference in resistivity between the target and its surrounding materials is a key factor to ensure this technique is viable.…”
Section: Electric Resistivitymentioning
confidence: 99%
“…This technique allows a quality control of the image and a better interpretation of the result;  Creating optimized sequences of measurements to increase the quality of the information contained in the data (Tsourlos et al, 1999;Stummer et al, 2004;Sjödahl et al, 2006;Hennig et al, 2005);  Finding an optimized design of electrode location to focus the survey and increase the reliability of the inversion result (Fargier et al, 2010).…”
Section: Background On Inversion Artefactsmentioning
confidence: 99%