Electrical Resistivity Tomography for the Modelling of Cultural Deposits and Geomophological Landscapes at Neolithic Sites: a Case Study from Southeastern Hungary

ABSTRACT A large‐scale electrical resistivity tomography (ERT) survey was undertaken around the Neolithic tell of Szeghalom‐Kovácshalom in southeast Hungary, covering an area of almost 6 ha. High‐resolution ERT data were collected along 28 uniformly distributed transects of variable length using the...

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Published in:Archaeological prospection Vol. 21; no. 3; pp. 169 - 183
Main Authors: Papadopoulos, Nikos G., Sarris, Apostolos, Parkinson, William A., Gyucha, Attila, Yerkes, Richard W., Duffy, Paul R., Tsourlos, Panagiotis
Format: Journal Article
Language:English
Published: Bognor Regis Blackwell Publishing Ltd 01.07.2014
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ISSN:1075-2196, 1099-0763
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Abstract ABSTRACT A large‐scale electrical resistivity tomography (ERT) survey was undertaken around the Neolithic tell of Szeghalom‐Kovácshalom in southeast Hungary, covering an area of almost 6 ha. High‐resolution ERT data were collected along 28 uniformly distributed transects of variable length using the roll‐along technique. A recently presented two‐dimensional fast non‐linear resistivity inversion algorithm was used to invert the ERT data and recover the true subsurface resistivity distribution along the specific cross‐sections. The algorithm calculates and stores in an efficient manner the part of the Jacobian matrix that is actually important within the inversion procedure, thus rendering it almost 4.8 times faster than the algorithm that calculates the complete Jacobian matrix, without losing quality. The algorithm was further modified to account for any non‐standard electrode configuration. A recently established iterative algorithm for sparse least squares problems (LSMR) was incorporated for the first time into the algorithm to solve the inverse resistivity problem. The effectiveness and robustness of the LSMR solver was highlighted through the processing of all the ERT lines. The processing and evaluation of the ERT data made it possible to map the thickness of the anthropogenic layer below the surface of the tell, to outline the horizontal and vertical dimensions of the palaeochannel adjacent to the tell, and to determine the general stratigraphy of geological layers up to 10 m below the ground surface. The ERT results also were used to update an older topographic map of the site showing the course of the palaeochannel around the tell. A synthetic model verified and enhanced the conclusions based on the field data. This study illustrates the added value that a systematic ERT survey can provide in reconstructing the ancient fluvial geomorphology of a microregion as well as the depth and horizontal extent of deposits associated with human habitation at archaeological sites. Copyright © 2014 John Wiley & Sons, Ltd.
AbstractList ABSTRACT A large‐scale electrical resistivity tomography (ERT) survey was undertaken around the Neolithic tell of Szeghalom‐Kovácshalom in southeast Hungary, covering an area of almost 6 ha. High‐resolution ERT data were collected along 28 uniformly distributed transects of variable length using the roll‐along technique. A recently presented two‐dimensional fast non‐linear resistivity inversion algorithm was used to invert the ERT data and recover the true subsurface resistivity distribution along the specific cross‐sections. The algorithm calculates and stores in an efficient manner the part of the Jacobian matrix that is actually important within the inversion procedure, thus rendering it almost 4.8 times faster than the algorithm that calculates the complete Jacobian matrix, without losing quality. The algorithm was further modified to account for any non‐standard electrode configuration. A recently established iterative algorithm for sparse least squares problems (LSMR) was incorporated for the first time into the algorithm to solve the inverse resistivity problem. The effectiveness and robustness of the LSMR solver was highlighted through the processing of all the ERT lines. The processing and evaluation of the ERT data made it possible to map the thickness of the anthropogenic layer below the surface of the tell, to outline the horizontal and vertical dimensions of the palaeochannel adjacent to the tell, and to determine the general stratigraphy of geological layers up to 10 m below the ground surface. The ERT results also were used to update an older topographic map of the site showing the course of the palaeochannel around the tell. A synthetic model verified and enhanced the conclusions based on the field data. This study illustrates the added value that a systematic ERT survey can provide in reconstructing the ancient fluvial geomorphology of a microregion as well as the depth and horizontal extent of deposits associated with human habitation at archaeological sites. Copyright © 2014 John Wiley & Sons, Ltd.
A large‐scale electrical resistivity tomography (ERT) survey was undertaken around the Neolithic tell of Szeghalom‐Kovácshalom in southeast Hungary, covering an area of almost 6 ha. High‐resolution ERT data were collected along 28 uniformly distributed transects of variable length using the roll‐along technique. A recently presented two‐dimensional fast non‐linear resistivity inversion algorithm was used to invert the ERT data and recover the true subsurface resistivity distribution along the specific cross‐sections. The algorithm calculates and stores in an efficient manner the part of the Jacobian matrix that is actually important within the inversion procedure, thus rendering it almost 4.8 times faster than the algorithm that calculates the complete Jacobian matrix, without losing quality. The algorithm was further modified to account for any non‐standard electrode configuration. A recently established iterative algorithm for sparse least squares problems (LSMR) was incorporated for the first time into the algorithm to solve the inverse resistivity problem. The effectiveness and robustness of the LSMR solver was highlighted through the processing of all the ERT lines. The processing and evaluation of the ERT data made it possible to map the thickness of the anthropogenic layer below the surface of the tell, to outline the horizontal and vertical dimensions of the palaeochannel adjacent to the tell, and to determine the general stratigraphy of geological layers up to 10 m below the ground surface. The ERT results also were used to update an older topographic map of the site showing the course of the palaeochannel around the tell. A synthetic model verified and enhanced the conclusions based on the field data. This study illustrates the added value that a systematic ERT survey can provide in reconstructing the ancient fluvial geomorphology of a microregion as well as the depth and horizontal extent of deposits associated with human habitation at archaeological sites. Copyright © 2014 John Wiley & Sons, Ltd.
A large-scale electrical resistivity tomography (ERT) survey was undertaken around the Neolithic tell of Szeghalom-Kovácshalom in southeast Hungary, covering an area of almost 6ha. High-resolution ERT data were collected along 28 uniformly distributed transects of variable length using the roll-along technique. A recently presented two-dimensional fast non-linear resistivity inversion algorithm was used to invert the ERT data and recover the true subsurface resistivity distribution along the specific cross-sections. The algorithm calculates and stores in an efficient manner the part of the Jacobian matrix that is actually important within the inversion procedure, thus rendering it almost 4.8 times faster than the algorithm that calculates the complete Jacobian matrix, without losing quality. The algorithm was further modified to account for any non-standard electrode configuration. A recently established iterative algorithm for sparse least squares problems (LSMR) was incorporated for the first time into the algorithm to solve the inverse resistivity problem. The effectiveness and robustness of the LSMR solver was highlighted through the processing of all the ERT lines. The processing and evaluation of the ERT data made it possible to map the thickness of the anthropogenic layer below the surface of the tell, to outline the horizontal and vertical dimensions of the palaeochannel adjacent to the tell, and to determine the general stratigraphy of geological layers up to 10m below the ground surface. The ERT results also were used to update an older topographic map of the site showing the course of the palaeochannel around the tell. A synthetic model verified and enhanced the conclusions based on the field data. This study illustrates the added value that a systematic ERT survey can provide in reconstructing the ancient fluvial geomorphology of a microregion as well as the depth and horizontal extent of deposits associated with human habitation at archaeological sites. Copyright © 2014 John Wiley & Sons, Ltd. [PUBLICATION ABSTRACT]
Author Sarris, Apostolos
Duffy, Paul R.
Parkinson, William A.
Papadopoulos, Nikos G.
Yerkes, Richard W.
Tsourlos, Panagiotis
Gyucha, Attila
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  givenname: Nikos G.
  surname: Papadopoulos
  fullname: Papadopoulos, Nikos G.
  email: nikos@ims.forth.gr
  organization: Laboratory of Geophysical-Satellite Remote Sensing and Archaeo-Environment, Institute for Mediterranean Studies, Foundation of Research and Technology, Hellas (F.O.R.T.H.), P.O. Box 119, Rethymno, Crete, Greece
– sequence: 2
  givenname: Apostolos
  surname: Sarris
  fullname: Sarris, Apostolos
  organization: Laboratory of Geophysical-Satellite Remote Sensing and Archaeo-Environment, Institute for Mediterranean Studies, Foundation of Research and Technology, Hellas (F.O.R.T.H.), P.O. Box 119, Rethymno, Crete, Greece
– sequence: 3
  givenname: William A.
  surname: Parkinson
  fullname: Parkinson, William A.
  organization: Field Museum of Natural History, IL, 60605, Chicago, USA
– sequence: 4
  givenname: Attila
  surname: Gyucha
  fullname: Gyucha, Attila
  organization: Hungarian National Museum, Centre for National Heritage Protection, Szeged, Hungary
– sequence: 5
  givenname: Richard W.
  surname: Yerkes
  fullname: Yerkes, Richard W.
  organization: Department of Anthropology, Ohio State University, OH, 43210-1394, Columbus, USA
– sequence: 6
  givenname: Paul R.
  surname: Duffy
  fullname: Duffy, Paul R.
  organization: University of Toronto, Ontario, Canada
– sequence: 7
  givenname: Panagiotis
  surname: Tsourlos
  fullname: Tsourlos, Panagiotis
  organization: Department of Geophysics, School of Geology, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
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References_xml – reference: Nowaczinski E, Schukraft G, Hecht S, Rassmann K, Bubenzer O, Eitel B. 2012. A multimethodological approach for the investigation of archaeological ditches - exemplified by the Early Bronze Age settlement of Fidvár Near Vráble (Slovakia). Archaeological Prospection 19: 281-295.
– reference: Ibrahim EH, Sherief MR, Al-Metwally AA. 1998. Shallow geophysical investigations on Tell el Farama, Northwest Sinai, Egypt. Archaeological Prospection 5: 91-100.
– reference: Maillol JM, Ciobotaru DL, Moravetz I. 2004. Electrical and magnetic response of archaeological features at the early Neolithic site of Movila lui Deciov, Western Romania. Archaeological Prospection 11: 213-226.
– reference: Sasaki Y. 1992. Resolution of resistivity tomography inferred from numerical simulation. Geophysical Prospecting 40: 453-464.
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Snippet ABSTRACT A large‐scale electrical resistivity tomography (ERT) survey was undertaken around the Neolithic tell of Szeghalom‐Kovácshalom in southeast Hungary,...
A large‐scale electrical resistivity tomography (ERT) survey was undertaken around the Neolithic tell of Szeghalom‐Kovácshalom in southeast Hungary, covering...
A large-scale electrical resistivity tomography (ERT) survey was undertaken around the Neolithic tell of Szeghalom-Kovácshalom in southeast Hungary, covering...
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SubjectTerms electrical resistivity tomography
fast inversion algorithm
Hungary
LSMR
Neolithic sites
Title Electrical Resistivity Tomography for the Modelling of Cultural Deposits and Geomophological Landscapes at Neolithic Sites: a Case Study from Southeastern Hungary
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