GNGTS 2019 - Atti del 38° Convegno Nazionale

666 GNGTS 2019 S essione 3.2 Conclusion. The presented algorithm, implemented in a widespread used numerical environment like EIDORS, is potentially adequate to deal with 2D and 3D geometries, both for field and laboratory applications. Results obtained on simple models pointed out the reliability of the global inversion to reach a global minimum preserving the high-contrast resistivity boundaries. On the other hand, the computational effort required for inversion is still significant and it could be reduced by speeding up the forward solver. Eventually, future works should explore potential and limits of global inversion for real world examples. References Cardarelli E. and De Donno G.; 2019: Advances in electric resistivity tomography: Theory and case studies . Chapter in: Innovation in Near-Surface Geophysics (pp. 23-57). Elsevier, The Netherlands. Cercato M.; 2011: Global surface wave inversion with model constraints. Geophysical Prospecting, 59 , 210–226. Chambers J.E., Kuras O., Meldrum P.I., Ogilvy R.D. and Hollands J.; 2006: Electrical resistivity tomography applied to geologic, hydrogeologic, and engineering investigations at a former waste-disposal site . Geophysics, 71 (6), B231-B239. Chunduru R.K., Sen M.K. and Stoffa P.L.; 1996: 2-D resistivity inversion using spline parameterization and simulated annealing . Geophysics, 61 (1), 151-161. De Donno G. and Cardarelli E.; 2017: VEMI: a flexible interface for 3D tomographic inversion of time- and frequency- domain electrical data in EIDORS , Near Surface Geophysics, 155 (1), 43-58. Dey A. and Morrison H.F.; 1979b: Resistivity modeling for arbitrarily shaped three- dimensional shaped structures . Geophysics, 44 , 753-780. Günther T., Rücker C. and Spitzer K.; 2006: Three-dimensional modelling and inversion of DC resistivity data incorporating topography—II. Inversion . Geophysical Journal International, 166 (2), 506-517. Ingber L.; 1989: Very fast simulated re-annealing. Mathematical and computer modelling , 12 (8), 967-973. Sen M.K. and Stoffa P.L.; 2013: Global optimization methods in geophysical inversion . Cambridge University Press, UK. Storz H., Storz W. and Jacobs F.; 2000: Electrical resistivity tomography to investigate geological structures of the earth’s upper crust . Geophysical Prospecting, 48 (3), 455-471. Weber Z.; 2000: Seismic traveltime tomography: a simulated annealing approach . Physics of the Earth and Planetary Interiors, 119 (1-2), 149-159. GEOPHYSICS AND GEOMORPHOLOGY FOR ARCHAEO-GEOSITES IN URBAN AREA: THE ETRUSCAN WELL IN PERUGIA (UMBRIA, CENTRAL ITALY) M. Ercoli, L. Melelli, C. Pauselli, F. Silvani Department of Physics and Geology, University of Perugia, Perugia, Italy Introduction. A complete geoarchaeologycal investigation of a site integrates successfully methods and techniques deriving from different disciplines of Earth Sciences (Gregori et al. , 2005; Melelli et al. , 2016; Bizzarri et al. , 2018). This is even more true in the historical downtown of urban areas, where the human presence covers the ground surface and the hidden archeological remains with a complex multilayers of anthropic deposits (Melelli, 2019). Moreover the economic, social and cultural value of urban fabric makes it quite difficult to carry on archaeological excavation activities inside the downtowns. For these reasons non- invasive methods are to be preferred. With this aim, the palaeogeographical arrangement, showing the initial and natural topographic surface of the location area of a city, is the first step for understanding where and why an archaeological site could be expand. In addition, to survey the exact extent in the 3D (planimetric and in depth) the geophysical investigations are a unique opportunity to detect and visualize the fabrics of the buildings buried under the topographic surface.