Preprints
https://doi.org/10.5194/essd-2020-390
https://doi.org/10.5194/essd-2020-390

  20 Jan 2021

20 Jan 2021

Review status: this preprint is currently under review for the journal ESSD.

tTEM20AAR: a benchmark geophysical dataset for unconsolidated fluvio-glacial sediments

Alexis Neven1, Pradip Kumar Maurya2, Anders Vest Christiansen2, and Philippe Renard1,3 Alexis Neven et al.
  • 1Centre of Hydrogeology and Geothermics, University of Neuchâtel, Neuchâtel, Switzerland
  • 2Department of Earth Sciences, Aarhus University, Aarhus C, Denmark
  • 3Department of Geosciences, University of Oslo, Oslo, Norway

Abstract. Quaternary deposits are complex and heterogeneous. They contain some of the most abundant and extensively used aquifers. In order to improve the knowledge of the spatial heterogeneity of such deposits, we acquired a large (more than 1400 hectares) and dense (20 m spacing) Time Domain ElectroMagnetic (TDEM) dataset in the upper Aare Valley, Switzerland. TDEM is a fast and reliable method to measure the magnetic field directly related to the resistivity of the underground. In this paper, we present the inverted resistivity models derived from this acquisition, and all the necessary data in order to perform different inversions on the processed data (https://doi.org/10.5281/ZENODO.4269887 (Neven et al., 2020)). The depth of investigation ranges between 40 to 120 m depth, with an average data residual contained in the standard deviation of the data. These data can be used for many different purposes: from sedimentological interpretation of quaternary environments in alpine environments, geological and hydrogeological modeling, to benchmarking geophysical inversion techniques.

Alexis Neven et al.

Status: open (until 21 Mar 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2020-390', Anonymous Referee #1, 15 Feb 2021 reply
    • AC1: 'Reply on RC1', Alexis Neven, 16 Feb 2021 reply

Alexis Neven et al.

Data sets

tTEM20AAR: a tTEM geophysical dataset Alexis Neven, Pradip Kumar Maurya, Anders Vest Christiansen, and Philippe Renard https://doi.org/10.5281/zenodo.4269887

Alexis Neven et al.

Viewed

Total article views: 349 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
213 127 9 349 4 3
  • HTML: 213
  • PDF: 127
  • XML: 9
  • Total: 349
  • BibTeX: 4
  • EndNote: 3
Views and downloads (calculated since 20 Jan 2021)
Cumulative views and downloads (calculated since 20 Jan 2021)

Viewed (geographical distribution)

Total article views: 279 (including HTML, PDF, and XML) Thereof 276 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Mar 2021
Download
Short summary
The shallow underground is constituted of sediments that present high spatial variability. This upper layer is the most extensively used for resource exploitation (groundwater, geothermal heat, construction materials, ...). Understanding and modeling the spatial variability of these deposits is crucial. We present a high-resolution electrical resistivity dataset that covers the upper Aare valley in Switzerland. These data can help developing methods to characterize these geological formations.