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GPR to constrain ERT data inversion in cavity searching: Theoretical and practical applications in archeology
Institution:3. INERA, Institut de l’Environnement et de Recherches Agricoles (CNRST), Burkina Faso;1. Departamento de Geodinámica, Universidad de Granada, 18071 Granada, Spain;2. Instituto Andaluz de Ciencias de la Tierra, CSIC-Universidad de Granada, 18071 Granada, Spain;3. Instituto Andaluz de Geofísica y Prevención de Desastres Sísmicos, Universidad de Granada, 18001 Granada, Spain;4. Instituto Geológico y Minero de España, Ríos Rosas 23, 28003 Madrid, Spain;1. Lancaster Environment Centre, Lancaster University, Lancaster, UK;2. British Geological Survey, Keyworth, UK;3. National Nuclear Laboratory, Seascale, UK;4. Department of Mathematics and Statistics, Lancaster University, Lancaster, UK
Abstract:I used theoretical forward models to show that a cavity embedded in a stratified sedimentary sequence can induce an equivalence problem in the ERT data inversion. Conductive top soil increases the misfit between the ground feature and the ERT model. The misfit depends on array and stratigraphy sequences. The latter induce an equivalence problem that manifests itself as wrong cavity depth positioning. The misfit is greater in the data acquired with Schlumberger array than with dipole–dipole.The ambiguity of ERT data inversion problems was tested in the detection of cavities linked to an 8th–6th century B.C. Sabine tomb, 3 m wide × 3 m long × 2 m high, excavated from a shaly gray volcanic ash (cinerite) layer covered by semi-lithoid tuff and top soil layers. In the real study I reduced the ambiguity in the inverse problem of ERT data using a priori information on geometry and resistivity of the cavity. The constrains were carried out from georadar data acquired with 80 and 200 MHz antenna. I demonstrate that this procedure has a practical application in cavity detection, and is a key to the reduction of the uncertainty inherent in the inversion process of ERT data.
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