(Pseudo-)3D Inversion of Geophysical Electromagnetic Induction Data by Using an Arbitrary Prior and Constrained to Ancillary Information

Zaru, Nicola
Primo
;
Vacca, Giuseppina;Vignoli, Giulio
Ultimo
2023-01-01

Abstract

Electromagnetic induction (EMI) methods are often used to map rapidly large areas with minimal logistical efforts. However, they are limited by a small number of frequencies and by their severe ill-posedness. On the other hand, electrical resistivity tomography (ERT) results are generally considered more reliable, with no need for specific calibration procedures and easy 2D/3D inversion. Still, ERT surveys are definitely more time-consuming, and, ideally, an approach with the advantages of both EMI and ERT would be optimal. The present research addresses this issue by incorporating realistic constraints intoEMIinversion, going beyond simplistic spatial constraints like smooth or sharp regularization terms, while taking into consideration the ancillary information already available about the investigated site. We demonstrate how additional pre-existing information, such as a reference model (i.e., an existing ERT section) can enhance the EMI inversion. The study verifies the results against observations from boreholes.
2023
Inglese
Computational Science and Its Applications – ICCSA 2023 Workshops. Athens, Greece, July 3–6, 2023, Proceedings, Part VIII
Andrea Gallo, et al.
Osvaldo Gervasi, Beniamino Murgante, Ana Maria A. C. Rocha, Chiara Garau, Francesco Scorza, Yeliz Karaca, Carmelo M. Torre
14111
624
638
15
Springer
Cham
SVIZZERA
978-3-031-37125-7
978-3-031-37126-4
https://link.springer.com/chapter/10.1007/978-3-031-37126-4_40
Esperti anonimi
internazionale
scientifica
Electromagnetic Induction; Spatially Constrained Inversion; Realistic Prior Distribution
Goal 13: Climate action
Goal 15: Life on land
info:eu-repo/semantics/bookPart
2.1 Contributo in volume (Capitolo o Saggio)
Zaru, Nicola; Rossi, Matteo; Vacca, Giuseppina; Vignoli, Giulio
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
4
268
partially_open
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