By C. Hauck
Many examine difficulties in cryospheric technological know-how, equivalent to international warming-induced permafrost degradation, require information regarding the subsurface, which might be imaged utilizing geophysical equipment. This booklet is a pragmatic advisor to the appliance of geophysical thoughts in mountainous and polar terrain, the place the cruel surroundings and nature of the subsurface pose specific demanding situations. It begins with an creation to the most geophysical tools after which demonstrates their software in periglacial environments via a variety of case experiences - written by way of a crew of overseas specialists. the ultimate a part of the ebook offers a sequence of reference tables with normal values of geophysical parameters for periglacial environments. This guide is a helpful source for glaciologists, geomorphologists and geologists requiring an advent to geophysical suggestions, in addition to for geophysicists missing adventure of making plans and accomplishing box surveys in chilly areas.
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Additional resources for Applied geophysics in periglacial environments
3. Model inversion results for two rock glaciers in the Eastern Alps: (a) Murtel, Upper Engadin, (b) Stelvio, Italian Alps (from Hauck and Vonder Mu¨hll 2003b). 2580 2590 2600 2610 2620 2630 2640 2650 2660 log10 [Ω m] 7 Altitude [m] 14 C. Kneisel and C. Hauck results below a high-resistivity layer can be greatly diminished. In a similar way, Hauck et al. (2003) used the relative sensitivity, which is a measure of information content in the observed data set concerning the resistivity of each model block, to estimate the reliability of the inversion results.
7b, an inversion without incorporated topography would yield erroneous results leading to possible misinterpretations of geological and periglacial features. 7a. A large influence of topography on the inversion results is typical for complex terrain and heterogeneous subsurface characteristics. 4 Non-uniqueness of the interpretation of high resistivities due to air, ice and bedrock Even though ERT is well suited to detect ground ice occurrences, due to the strong dependence of electrical resistivity on unfrozen water/ice content, the interpretation 20 C.
Snowmelt infiltration: monitoring temporal and spatial variability using time-lapse electrical resistivity. Journal of Hydrology, 297, 174–186. French, H. , Winship, P. and Jakobsen, L. (2002). Monitoring snowmelt induced unsaturated flow and transport using electrical resistivity tomography. Journal of Hydrology, 267(3–4), 273–284. , Ru¨cker, C. and Spitzer, K. (2006). Three-dimensional modelling and inversion of dc resistivity data incorporating topography – II. Inversion. Geophysical Journal International, 166, 506–517.