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Geophysical Modeling of Typical Cavity Shapes to Calculate Detection Probability and Inform Survey Design

James, P; Ferreira, P; (2013) Geophysical Modeling of Typical Cavity Shapes to Calculate Detection Probability and Inform Survey Design. Journal of Environmental and Engineering Geophysics , 18 (4) pp. 297-316. 10.2113/JEEG18.4.297. Green open access

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Abstract

Feasibility analysis of near-surface cavity detection is presented using modeling of the gravity, gravity gradient, magnetic, magnetic gradient, and ground penetrating radar techniques. The geophysical signal is modeled over typical cavity shapes in three-dimensional subsurface environments with varying geologies and survey parameters. The cavity detection probability is calculated for each technique in the outlined environments and these values are used to aid technique choice, assess the feasibility of cavity detection, assess the limits of detection for each technique, and optimise survey design before entering the field. Tests in a range of conditions show that technique choice is conditional to site characteristics and site parameters, and highlight the need for modeling in the desk study stage of site investigation and survey design. Detection probability results show that standard survey direction practice in magnetometry is not always optimal, and demonstrate the importance of site specific noise level consideration. Comparisons with case study measurements demonstrate that the modelling and subsequent detection probability calculation chose appropriate techniques and survey parameters, but also highlights the limitations of the method.

Type: Article
Title: Geophysical Modeling of Typical Cavity Shapes to Calculate Detection Probability and Inform Survey Design
Open access status: An open access version is available from UCL Discovery
DOI: 10.2113/JEEG18.4.297
Publisher version: http://dx.doi.org/10.2113/JEEG18.4.297
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Physical Sciences, Technology, Geochemistry & Geophysics, Engineering, Geological, Engineering, MAGNETIC-ANOMALIES, GRAVITY, COMPUTATION, GRADIENT, FIELDS, RADAR, KARST, VOIDS, GPR
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1423184
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