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Thermal diffusivity variability in alpine permafrost rock walls


Pogliotti, P; Cremonese, E; Morra di Cella, U; Gruber, S; Giardino, M (2008). Thermal diffusivity variability in alpine permafrost rock walls. In: 9th International Conference on Permafrost, Fairbanks, Alaska, 29 June 2008 - 3 July 2008, 1427-1432.

Abstract

Permafrost degradation has been hypothesized as being one of the main causes of rockfalls and rock wall instability in the recent past in high mountain areas. Ongoing rock wall permafrost evolution remains poorly understood because of the lack of systematic measurements; models are often validated and driven by few existing instrumented sites. In rock wall subsurface temperature modeling, thermal diffusivity (κ) is one of the main parameters to be considered. In this study, thermal diffusivity data series were inferred from rock temperature data in order to understand their annual variation, their distribution in different temperature ranges, and their relation to atmospheric conditions. A harmonic analysis was performed to define amplitude and phase of the daily temperature waves at different depths by means of a least square minimizing optimization procedure. The analysis conducted shows that changes in κ values are influenced by different factors such as depth, season, rock temperature, aspect, and snowfall.

Permafrost degradation has been hypothesized as being one of the main causes of rockfalls and rock wall instability in the recent past in high mountain areas. Ongoing rock wall permafrost evolution remains poorly understood because of the lack of systematic measurements; models are often validated and driven by few existing instrumented sites. In rock wall subsurface temperature modeling, thermal diffusivity (κ) is one of the main parameters to be considered. In this study, thermal diffusivity data series were inferred from rock temperature data in order to understand their annual variation, their distribution in different temperature ranges, and their relation to atmospheric conditions. A harmonic analysis was performed to define amplitude and phase of the daily temperature waves at different depths by means of a least square minimizing optimization procedure. The analysis conducted shows that changes in κ values are influenced by different factors such as depth, season, rock temperature, aspect, and snowfall.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:3 July 2008
Deposited On:29 Aug 2008 10:59
Last Modified:19 Jul 2016 12:36
ISBN:978-0-9800179-3-9
Official URL:http://uspermafrost.org/meetings/nicop/proceedings.html
Permanent URL: http://doi.org/10.5167/uzh-3098

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