A new experimental snow avalanche test site at Seehore peak in Aosta Valley (NW Italian Alps)—part I: Conception and logistics

Maggioni, Margherita; Freppaz, Michèle; Ceaglio, E.; Godone, Danilo; Viglietti, Davide; Zanini, Ermanno; Barbero, Monica; Barpi, Fabrizio; Brunetto, Mauro Borri; Bovet, Eloise; Chiaia, Bernardino; Biagi, Valerio De; Frigo, Barbara; Pallara, Oronzo Vito

doi:10.1016/j.coldregions.2012.09.006

Cited by 14 publications

(11 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We were able to identify several areas known to be affected by snow gliding and glide snow avalanches: for example, the two experimental test sites described by Frigo et al (2014), where two pairs of glide shoes were installed to continuously measure snow gliding (in two winter seasons 11 events of glide snow avalanches were recorded). We also identified areas where those phenomena typically do not occur: for example, the Seehore avalanche test site described by Barbero et al (2013) and Maggioni et al (2013), a north-facing slope characterized by an extreme roughness. These areas are shown as examples in the four insets reported on the map (Main Map).…”

Section: Resultsmentioning

confidence: 99%

Snow gliding susceptibility: the Monterosa Ski resort, NW Italian Alps

Maggioni¹,

Godone²,

Höller

et al. 2016

Journal of Maps

Self Cite

View full text Add to dashboard Cite

Snow gliding, though a slow process, should be considered as important as the faster snow avalanche flows, as it can similarly produce severe damage to buildings and infrastructure. Snow gliding depends on snowpack properties, land cover and terrain parameters. Among these driving factors, in this work, we focus on stationary factors, that is, those that are considered features related to terrain and land cover, in particular those that could be derived from a Digital Elevation Model or land use/cover maps: slope angle, aspect, roughness and land cover. We propose a geographical information system-based procedure to create a snow gliding susceptibility index and to produce a related snow gliding susceptibility map. We tested this procedure in the Aosta Valley (NW Italian Alps), where the Monterosa Ski resort is located. The map covers an area of about 338 km 2 at a scale of 1:50,000. The proposed procedure is seen as a valuable tool to help safety personnel at ski resorts as well as in other scenarios (e.g. road management) in the identification of areas most prone to snow gliding. ARTICLE HISTORY

show abstract

Section: Resultsmentioning

confidence: 99%

Snow gliding susceptibility: the Monterosa Ski resort, NW Italian Alps

Maggioni¹,

Godone²,

Höller

et al. 2016

Journal of Maps

Self Cite

View full text Add to dashboard Cite

show abstract

“…This value is consistent with numerical simulations carried with the software AVAL-1D, developed by the Swiss Federal Institute for Snow and Avalanche Research (SLF) in Davos (Christen et al, 2001), assuming as model input the typical snow depth values used as a threshold for activating the artificial release procedures. It is worth noting that the threshold to operate an artificial release is around 30 cm of fresh snow (Maggioni et al, 2012). At the French site of Col du Lautaret, similar in some respects to the Seehore site, the forces measured on an obstacle with an impact area of 1 m 2 are about 35 kN (Thibert et al, 2008).…”

Section: Design Of the Obstaclementioning

confidence: 99%

“…The site chosen for installing the instrumented obstacle is a fairly steep natural slope (Maggioni et al, 2012). A number of human activities had to be carried out on the slope, both during the construction of the obstacle and during service operations.…”

Section: Generalmentioning

confidence: 99%

“…The Seehore test site is presented from the viewpoint of geology and snow science in a companion paper (Maggioni et al, 2012), where it is described in detail, starting from its location, morphology, snow and weather conditions and historical avalanche data. In this paper attention is focused on the design and construction of the instrumented obstacle placed along the path to measure impact forces.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A new experimental snow avalanche test site at Seehore peak in Aosta Valley (NW Italian Alps) ? Part II: Engineering aspects

Barbero

Barpi

Brunetto

et al. 2013

Cold Regions Science and Technology

Self Cite

View full text Add to dashboard Cite

The estimate of the effects produced by the impact of a snow avalanche against an obstacle is of the utmost importance in designing safe mountain constructions. For this purpose, an ad-hoc instrumented obstacle was designed and built in order to measure impact forces of small and medium snow avalanches at Seehore peak (NW Italian Alps). The structural design had to consider several specific and unusual demands dictated by the difficult environment. In this article, the new test facility is described from the engineering point of view, discussing the most important aspects of the analyzed problems which were solved before and after the construction. The performance of the instrumented obstacle in the first two operating seasons, and some proposals for future upgrading are eventually illustrated.

show abstract

“…The site has been surveyed by helicopter borne laser scanner (Tab. 1) with the purpose of measuring its morphology, as a preliminary step in a wider experimental context concerning avalanche triggering and monitoring [Ceaglio et al, 2010;Maggioni et al, 2013]. The slope, with an altitude difference of about 300 m (from 2300 to 2570 m asl), has a mean inclination of about 28° and a NNW aspect.…”

Section: Study Areamentioning

confidence: 99%

The role of morphometric parameters in Digital Terrain Models interpolation accuracy: a case study

Godone

Garnero

2013

European Journal of Remote Sensing

View full text Add to dashboard Cite

In the present study different algorithms, usually available in GIS environment, are analyzed in order to spot an optimal interpolation methodology and to define, by classification techniques, which morphological variable affects the interpolation quality. The investigated dataset is a helicopter-borne laser scanner survey carried out on a mountain slope. It has been interpolated at various resolutions, and a percentage of the entire set has been employed to evaluate the interpolation accuracy. The analysis has highlighted, among the tested interpolators, the Natural Neighbour as the best one. The classification has drawn the attention to the total curvature and slope as the main factors affecting interpolation accuracy. The next goal is the mapping of such classification results.

show abstract

A new experimental snow avalanche test site at Seehore peak in Aosta Valley (NW Italian Alps)—part I: Conception and logistics

Cited by 14 publications

References 15 publications

Snow gliding susceptibility: the Monterosa Ski resort, NW Italian Alps

Snow gliding susceptibility: the Monterosa Ski resort, NW Italian Alps

A new experimental snow avalanche test site at Seehore peak in Aosta Valley (NW Italian Alps) ? Part II: Engineering aspects

The role of morphometric parameters in Digital Terrain Models interpolation accuracy: a case study

Contact Info

Product

Resources

About