<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>Weigand, Maximilian</dc:creator>
  <dc:creator>Wagner, Florian M.</dc:creator>
  <dc:creator>Limbrock, Jonas K.</dc:creator>
  <dc:creator>Hilbich, Christin</dc:creator>
  <dc:creator>Hauck, Christian</dc:creator>
  <dc:creator>Kemna, Andreas</dc:creator>
  <dc:date>2020-08-05</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">Climate-induced warming increasingly leads to degradation of high-alpine permafrost.  In order to develop early warning systems for imminent slope destabilization,  knowledge about hydrological flow processes in the subsurface is urgently needed.  Due to the fast dynamics associated with slope failures, non- or minimally invasive  methods are required for inexpensive and timely characterization and monitoring of  potential failure sites to allow in-time responses. These requirements can potentially  be met by geophysical methods usually applied in near-surface geophysical settings,  such as electrical resistivity tomography (ERT), ground-penetrating radar (GPR),  various seismic methods, and self-potential (SP) measurements. While ERT and GPR  have their primary uses in detecting lithological subsurface structure and liquid  water/ice content variations, SP measurements are sensitive to active water flow in  the subsurface. Combined, these methods provide huge potential to monitor the  dynamic hydrological evolution of permafrost systems. However, while conceptually  simple, the technical application of the SP method in high-alpine mountain regions is  challenging, especially if spatially resolved information is required. We here report on  the design, construction, and testing phase of a multi-electrode SP measurement  system aimed at characterizing surface runoff and meltwater flow on the Schilthorn,  Bernese Alps, Switzerland. Design requirements for a year-round measurement  system are discussed; the hardware and software of the constructed system, as well  as test measurements are presented, including detailed quality-assessment studies.  On-site noise measurements and one laboratory experiment on freezing and thawing  characteristics of the SP electrodes provide supporting information. It was found that a  detailed quality assessment of the measured data is important for such challenging  field site operations, requiring adapted measurement schemes to allow for the  extraction of robust data in light of an environment highly contaminated by  anthropogenic and natural noise components. Finally, possible short- and long-term  improvements to the system are discussed and recommendations for future  installations are developed.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/308793</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/308793/files/hau_mss.pdf</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/308793/files/hau_mss_sm.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.5194/gi-9-317-2020</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>Geoscientific Instrumentation, Methods and Data Systems. - 2020, vol. 9, no. 2020-2, p. 317–336</dc:source>
  <dc:subject>info:eu-repo/classification/udc/551</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">A monitoring system for spatiotemporal electrical self-potential measurements in cryospheric environments</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
