Geophysical Monitoring Systems to Assess and Quantify Ground Ice Evolution in Mountain Permafrost (2010)

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Permafrost is an essential element of the global cryosphere. Alpine permafrost temperatures on the know just below 0 ° C, making them particularly sensitive to the projected climate change in the 21st Century. The ice content in the frozen ground is one of the key parameters that control the stability of slopes in periglacial. Based on the need for long-term monitoring of the development of mountain permafrost contributes to the present work to develop a monitoring approach, which allows statements about temporal changes in the ice content. In this study, a geophysical monitoring network has been established consisting of permanent geoelectric and seismic refraction profiles in four morphologically different locations in the Swiss Alps. The aim of this study was to investigate the potential of geophysical methods (geoelectric tomography and seismic tomography) for an operational long-term examine monitoring of permafrost development in the high mountains under global warming. The results indicate a great potential of both monitoring approaches for the detection and characterization of climate-induced permafrost or Bodeneisdegradation. Through a combined analysis of resistances and wellbore temperatures was the strong correlation between the two parameters be shown for all sites. This meant that the general applicability of the ERT monitoring for morphologically different sites with varying surface textures and Eisgehalten demonstrated. Interpretation of the seismic velocity changes in time-lapse tomograms agrees with the Geoelektrikdaten and with the downhole temperatures, but gives the same time complementary information which interpretation the the Geoelektrikdaten can help significantly. One significant advantage of the refraction seismic monitoring provides the ability to identify unambiguously, under certain conditions Eisdegradation (or seasonal Eisschwund).
Year: 2010
Language: English
Thesis note: Thesis (Ph. D.) - Institute of Geography, Department of Geoinformatics, Geohydrology and Modelling, Friedrich-Schiller-Universität Jena, Jena, Germany

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