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The Characterization of the Lower Town of the Unesco Archaeological Site of Arslantepe (Malatya, Türkiye) Using the Geophysical E-Perti Method (Extended Data-Adaptive Probability-Based Electrical Resistivity Tomography Inversion Method)

Bibliographic Data

ID13124991
AuthorsFrancesca Balossi Restelli (0000-0001-8593-2621, Sapienza University of Rome), Mauro Cozzolino (0000-0003-3822-9129, University of Molise), Federico Manuelli (0000-0002-2563-1074, National Research Council), Paolo Mauriello (0000-0002-3571-4279, University of Molise, corresponding author)
Year2025
Volume8
Issue2
Pages37-37
Publication date2025-01-22
Open AccessYes
TypeARTICLE
VenueHeritage (JOURNAL)
Journal identifiersISSN: 2571-9408 • E-ISSN: 2571-9408
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/heritage8020037
OpenAlexW4406706379
LanguageEN
Citations received1
References cited39

The UNESCO site of Arslantepe is located in Eastern Anatolia in the Malatya Plain (Türkiye) about 10 km from the Euphrates River. Here for about a century archaeological excavations have been carried out, reconstructing a long sequence of human frequentation starting from 5000 years BC up to the Middle Ages. The settlement, one of the most important and largest in the region, has undergone numerous changes over time, resulting in a complex superposition of structures, palaces, temples, and burials concentrated on the hill. With the aim of extending the knowledge of the site, in 2022, geophysical surveys were carried out through the application of electrical resistivity tomography, covering a surface of approximately 4300 m2 in an unexplored area at the foot of the hill. In this paper, the Extended data-adaptive Probability-based Electrical Resistivity Tomography Inversion approach (E-PERTI), recently published as a development of the probability tomography imaging approach, has been applied to a large apparent resistivity field dataset, providing the best estimate of the most probable estimate of the resistivity distribution through an intrinsic linear regression model implementing standard least squares routines. The results seem to prove the effectiveness of the E-PERTI approach in noise dejection, enhancing associated resistivity highs that can be ascribable to the trace of a potential fortification. The obtained information represents new, unexpected data that open new frontiers of archaeological research, adding value to the knowledge of the site

Electrical engineering · Electrical resistivity and conductivity · Electrical Resistivity Tomography · Geomorphology · Inversion (geology · Seismology · Structural basin · Engineering · Geophysical and Geoelectrical Methods · Geophysical Methods and Applications · Rock Mechanics and Modeling · Geology · Geophysics

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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