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Article

The Extended Data-Adaptive Probability-Based Electrical Resistivity Tomography Inversion Method (E-PERTI) for the Characterization of the Buried Ditch of the Ancient Egnazia (Puglia, Italy)

by
Marilena Cozzolino
1,*,
Paolo Mauriello
1 and
Domenico Patella
2
1
Department of Human, Social and Educational Science, University of Molise, Via De Sanctis, 86100 Campobasso, Italy
2
Faculty of Economics, Universitas Mercatorum, Piazza Mattei 10, 00186 Rome, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2022, 12(5), 2690; https://doi.org/10.3390/app12052690
Submission received: 6 November 2021 / Revised: 9 December 2021 / Accepted: 2 March 2022 / Published: 4 March 2022
(This article belongs to the Special Issue Advances in Applied Geophysics)
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Abstract

A geoelectrical survey was carried out outside the walls of the ancient Egnazia (Puglia, Italy) with the aim of enriching the knowledge about its defense system. Nine Electrical Resistivity Tomographies (ERTs) were realized using the dipole-dipole (DD) electrode array, approximately transversal to the walls and equally spaced. The new Extended data-adaptive Probability-based Electrical Resistivity Tomography Inversion Method (E-PERTI) was applied, for the first time, to model the resistivity distribution of a large dataset. Considering some peculiar aspects of the general theory of probability, an optimization of results was reached giving major emphasis to one dataset portion rather than another and inspecting selectively vertical or lateral resistivity variations. In this way, sets of aligned resistivity lows attributable to the trace of an ancient ditch were found.
Keywords: archaeological prospection; resistivity tomography; E-PERTI; Egnazia archaeological prospection; resistivity tomography; E-PERTI; Egnazia

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MDPI and ACS Style

Cozzolino, M.; Mauriello, P.; Patella, D. The Extended Data-Adaptive Probability-Based Electrical Resistivity Tomography Inversion Method (E-PERTI) for the Characterization of the Buried Ditch of the Ancient Egnazia (Puglia, Italy). Appl. Sci. 2022, 12, 2690. https://doi.org/10.3390/app12052690

AMA Style

Cozzolino M, Mauriello P, Patella D. The Extended Data-Adaptive Probability-Based Electrical Resistivity Tomography Inversion Method (E-PERTI) for the Characterization of the Buried Ditch of the Ancient Egnazia (Puglia, Italy). Applied Sciences. 2022; 12(5):2690. https://doi.org/10.3390/app12052690

Chicago/Turabian Style

Cozzolino, Marilena, Paolo Mauriello, and Domenico Patella. 2022. "The Extended Data-Adaptive Probability-Based Electrical Resistivity Tomography Inversion Method (E-PERTI) for the Characterization of the Buried Ditch of the Ancient Egnazia (Puglia, Italy)" Applied Sciences 12, no. 5: 2690. https://doi.org/10.3390/app12052690

APA Style

Cozzolino, M., Mauriello, P., & Patella, D. (2022). The Extended Data-Adaptive Probability-Based Electrical Resistivity Tomography Inversion Method (E-PERTI) for the Characterization of the Buried Ditch of the Ancient Egnazia (Puglia, Italy). Applied Sciences, 12(5), 2690. https://doi.org/10.3390/app12052690

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