5,4,5,1- 1Department of Environmental Engineering DIAM, University of Calabria, Arcavacata di Rende, CS, 87036, Italy
- 2School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
- 3Geostudi Astier s.r.l., 57123,Livorno, Italy
- 4Institute for Electromagnetic Sensing of the Environment-National Research Council of Italy IREA-CNR, 80124, Naples, Italy
- 5Institute for Methodologies for Environmental Analyses-National Research Council of Italy IMAA-CNR, 85050, Tito Scalo, PZ, Italy
The effective use of Ground Penetrating Radar (GPR) in urban environment benefits of the ability to manage data referred to a layered scenario. The GPR imaging in layered media can be improved either making use of focusing algorithms [1-2] accounting in a rigorous way for the layered structure of the soil or, more simply and less demandingly from the point of view of the available computing resources, making use of a joined migration and of a combined time-depth conversion of the data [3-4]. These recently introduced possibilities allow to deal with layered media as homogeneous ones. The inhomogeneity of the investigated medium is, indeed, accounted for through a sort of sticking of different results and with some suitable deformation of the resulting image. Advantages of the combined time-depth conversion but also its intrinsic limits will be discussed. For example, it is helpful for the correct imaging of cavities [5] allowing, in a simple and straightforward way, the mitigation of the well-known compression effect that the cavities suffer in a classical GPR imaging. This claim is supported by both numerical results obtained from data simulated with the gprMax software [6] and by experimental results obtained in real test scenarios.
Key words: Layered media, joined migration, combined time-depth conversion
References
[1] R. Pierri, G. Leone, F. Soldovieri, R. Persico, "Electromagnetic inversion for subsurface applications under the distorted Born approximation" Nuovo Cimento, vol. 24C, N. 2, pp 245-261, March-April 2001.
[2] I. Catapano, L. Crocco, R. Persico, M. Pieraccini, F. Soldovieri, “Linear and Nonlinear Microwave Tomography Approaches for Subsurface Prospecting: Validation on Real Data”, IEEE Trans. on Antennas and Wireless Propagation Letters, vol. 5, pp. 49-53, 2006.
[3] R. Persico, G. Morelli, G. Esposito, I. Catapano, L. Capozzoli, G. De Martino, D. Yang, An innovative time-depth conversion for the management of buried scenarios with strong discontinuities, Journal of Applied Geophysics vol. 227, 105435, DOI 10.1016/j.jappgeo.2024.105435, 2024.
[4] D. Yang, L. Capozzoli, I. Catapano, G. De Martino, G. Esposito, G. Morelli and R. Persico, Accounting for the Different Propagation Velocities for the Focusing and Time–Depth Conversion in a Layered Medium, Applied Sciences 14(24):11812, 2024.
[5] R. Persico, S. D'Amico, L. Matera, E. Colica, C. De, Giorgio, A. Alescio, C. Sammut and P. Galea, GPR Investigations at St John's Co‐Cathedral in Valletta. Near Surface Geophysics, vol. 17 n. 3, pp. 213-229. doi:10.1002/nsg.12046, 2019.
[6] C. Warren, A. Giannopoulos, I Giannakis, gprMax: Open source software to simulate electromagnetic wave propagation for Ground Penetrating Radar, Computer Physics Communications, 209, 163-170, 2016 10.1016/j.cpc.2016.08.020.
How to cite: De Martino, G., Yang, D., Morelli, G., Catapano, I., Esposito, G., Capozzoli, L., and Persico, R.: Advanced GPR Imaging in layered media , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-9888, https://doi.org/10.5194/egusphere-egu25-9888, 2025.
