2008
DOI: 10.1016/j.enggeo.2007.11.015
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Enhancing understanding of breakdown and collapse in the Yorkshire Dales using ground penetrating radar on cave sediments

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Cited by 12 publications
(7 citation statements)
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“…Inspection of Table 4 reveals that the computation of models with a total number of blocks greater than several thousands is very time consuming with a single 3 GHz processor, for example a CPU time of 138 h is required for the largest computer model (10). The obtained average number of iterations per time step, a measure of the efficiency of the numerical convergence and the adequacy of the selected numerical control parameters, is very reasonable.…”
Section: Results Of Numerical Analysismentioning
confidence: 91%
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“…Inspection of Table 4 reveals that the computation of models with a total number of blocks greater than several thousands is very time consuming with a single 3 GHz processor, for example a CPU time of 138 h is required for the largest computer model (10). The obtained average number of iterations per time step, a measure of the efficiency of the numerical convergence and the adequacy of the selected numerical control parameters, is very reasonable.…”
Section: Results Of Numerical Analysismentioning
confidence: 91%
“…[18]] or collapse without preliminary warning with the failure zone breaking the ground surface [e.g. [10]]. …”
Section: Introductionmentioning
confidence: 99%
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“…on changing the orientation of antennae with respect to the above-surface feature), because they would still destructively interfere on application of stacking. This parallels the approach of Murphy et al (2008), who used velocity-based methods to suppress air-wave energy reflected around the walls of a narrow cave, when reflections from underlying sediments were obscured.…”
Section: Noise Suppression Algorithmsmentioning
confidence: 77%
“…Detection of hazardous cavities, subsidence sinkholes, and sagging in karst terrain as potential geohazard assessment is necessary particularly in populated sites. Recently, several studies have successfully applied the GPR method with other geophysical surveys and techniques in order to evaluate and predict the risk of sinkhole collapses in urban areas (Murphy et al, 2008;Delle Rose & Leucci, 2010;Gomez-Ortiz & Martín-Crespo, 2012;Carbonel et al, 2014;De Giorgi & Leucci, 2014;Pueyo-Anchuela et al, 2015). Karst cavities are also investigated by the GPR to prevent geohazards in mineral exploitation (Zajc et al, 2014;Zajc et al, 2015).…”
Section: The Ground Penetrating Radar Methodsmentioning
confidence: 99%