<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Mewes, Benjamin</dc:creator>
  <dc:creator>Hilbich, Christin</dc:creator>
  <dc:creator>Delaloye, Reynald</dc:creator>
  <dc:creator>Hauck, Christian</dc:creator>
  <dc:date>2017-12-14</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Geophysical methods are often used to characterize and monitor the subsurface  composition of permafrost. The resolution capacity of standard methods, i.e. electrical  resistivity tomography and refraction seismic tomography, depends not only on static  parameters such as measurement geometry, but also on the temporal variability in the  contrast of the geophysical target variables (electrical resistivity and P-wave velocity).  Our study analyses the resolution capacity of electrical resistivity tomography and  refraction seismic tomography for typical processes in the context of permafrost  degradation using synthetic and field data sets of mountain permafrost terrain. In  addition, we tested the resolution capacity of a petrophysically based quantitative  combination of both methods, the so-called 4-phase model, and through this analysed  the expected changes in water and ice content upon permafrost thaw. The results  from the synthetic data experiments suggest a higher sensitivity regarding an increase  in water content compared to a decrease in ice content. A potentially larger  uncertainty originates from the individual geophysical methods than from the  combined evaluation with the 4-phase model. In the latter, a loss of ground ice can be  detected quite reliably, whereas artefacts occur in the case of increased horizontal or  vertical water flow. Analysis of field data from a well-investigated rock glacier in the  Swiss Alps successfully visualized the seasonal ice loss in summer and the complex  spatially variable ice, water and air content changes in an interannual comparison.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/306488</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/306488/files/hau_rcg.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-11-2957-2017</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>The Cryosphere. - 2017, vol. 11, no. 6, p. 2957–2974</dc:source>
  <dc:subject>info:eu-repo/classification/udc/556</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Resolution capacity of geophysical monitoring regarding permafrost degradation induced by hydrological processes</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
