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Process oriented use of geostatistics to analyse creeping para‐glacial features
Author(s) -
Bardou Eric,
FavreBulle Guillaume,
Faucheux Claire,
Jeannée Nicolas,
Ornstein Pascal
Publication year - 2015
Publication title -
earth surface processes and landforms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.294
H-Index - 127
eISSN - 1096-9837
pISSN - 0197-9337
DOI - 10.1002/esp.3711
Subject(s) - permafrost , glacial period , glacier , geology , geostatistics , natural hazard , physical geography , interpolation (computer graphics) , computer science , geomorphology , remote sensing , frame (networking) , geography , spatial variability , statistics , mathematics , telecommunications , oceanography
Complex para‐glacial systems may show signs of destabilization leading to frequent and potentially hazardous debris‐flows. Understanding creeping permafrost displacement over a period of time is therefore crucial for hazard management and risks assessment. This paper presents our methodology for estimating creeping permafrost displacement based upon data derived from various survey methods and demonstrates its relevance on the Glacier Bonnard system in southern Switzerland. Geostatistical processing allowed estimation of the displacement intensity over the area of interest, as well as assessment of the interpolation quality. Although the local measurement network needs to be refined, the results largely improve the understanding of the Bonnard para‐glacial system, though highlighting the need to locally refine the measurement network. In the present case, the destabilized front advances at ~1 m/a and the upstream creeping part at ~0.4 m/a. Variance analysis also provide objective thresholds that could be used to distinguish underlying physical processes. Copyright © 2015 John Wiley & Sons, Ltd.