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World of Science | New perspectives on the reduction method and co

SLF study on avalanche risk depending on danger level and terrain

by Lea Hartl 01/06/2022
A recent SLF study uses GPS tracks from the Skitourenguru.ch database to correlate avalanche accidents with the number of accident-free ascents. This makes it possible to calculate which danger levels and terrain characteristics are particularly risky. There are some interesting differences to the reduction factors known from the Munter reduction method.

Rule-based risk management

Rule-based decision aids are a central part of risk management for many winter sports enthusiasts. Munter's reduction method in its different variations, as well as related applications such as the SnowCard or Stop-or-Go, allow us to categorize a potential avalanche slope based on various positive or negative factors. We receive a "stop" or "go" recommendation.

All established rule-based methods are based on expert knowledge and the evaluation of accident data: At which danger level, on which slope steepness and exposure were there how many avalanche accidents? This results in the known systems with which we can "calculate down" a slope based on reduction factors (steepness, exposure, danger level, etc.), or not.

The result of the rule-based methods represents information on how often certain conditions were present in accidents. For example: A particularly high number of accidents occur when there is a significant avalanche risk in the northern sector in terrain steeper than 30°. The method therefore recommends avoiding this situation.

Risk - what does this mean in concrete terms?

A statement about accident frequencies is certainly useful, but does not in itself contain any information about the risk of an avalanche on this slope under the given conditions. Thanks to the accident data, we know where and how often something has happened. However, we do not know how often people have skied in the same terrain and at the same danger level without anything happening. This means that we cannot put the accidents in relation to the number of accident-free ski tours.

In the SLF study, "risk" was defined as the statistical probability of being caught by an avalanche at a certain point on a ski tour, which has found its way into the SLF's avalanche database. The avalanche risk can therefore be equated with the ratio of accidents vs. non-accidents, and the following applies:

Risk at level 3, >30°, North =

Number of avalanche accidents at level 3, >30°, North /

Total number of ascents at level 3, >30°, North

Not a very complicated calculation in itself if we knew all the variables! Accidents are often reported to the SLF and recorded there in the claims database, but accident-free travel is not. If the risk defined in this way is to be calculated, we still need the number of trips.

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GPS tracks to determine risk

The new study from Switzerland uses GPS tracks from the database of Skitourenguru.ch for this purpose. The GPS data is combined with the accidents, danger levels and avalanche problems of the bulletins of the respective days in order to quantify the risk as a ratio of accidents to ascents depending on the danger level and the terrain. The following questions, among others, are to be answered:

  • How does the risk change from danger level to danger level?

  • How does the risk in the altitudes and exposures mentioned in the avalanche bulletin differ from the risk in the other parts of the terrain?

  • Is the risk dependent on the prevailing avalanche problem?

  • Are the reduction factors of the rule-based methods correct, or do they change when the number of ascents is taken into account?

In order to get the best out of the data and to avoid comparing apples with oranges, the data first had to be prepared and filtered:

  • Data for the winters 2005/06-2018/19 were analyzed, before that there are no GPS tracks.

  • The GPS tracks come from ski or snowboard tours in open terrain. Therefore, only accidents from tours were used, and accidents from off-piste terrain were excluded.

  • In addition, wet and sliding snow avalanches were excluded, so the study refers to dry avalanches, or the avalanche problems of fresh snow, drifting snow, old snow and "no pronounced avalanche problem".

  • For most of the 784 accidental avalanches (at least one person recorded), only the starting point, i.e. the highest point, is known. In order to better take the terrain into account, an approximate avalanche path was calculated in each case and an average value for exposure and steepness was determined from this.

Over 7000 recorded tours are included in the evaluation. After excluding dense forest and very flat terrain, this results in a good 2 million individual GPS points in potential avalanche terrain.

For all points, i.e. accidents and GPS points, the danger level valid at the time, the avalanche problem and the particularly critical exposures and altitude ranges were determined on the basis of the archived bulletins, as well as the terrain characteristics (steepness, exposure). A certain area around the individual points was also taken into account (same method as Skitourenguru.ch).

The authors of the study counter the argument that the danger level cannot apply to one point or individual slope with a kind of law of large numbers: For very many points (or individual slopes), there must be a correlation between the regional level and the local hazard despite spatial variability, otherwise the hazard level as a concept would be useless.

For the calculation of the risk, each GPS point was counted as a "non-accident". Thus, the risk in this evaluation corresponds to the number of avalanches divided by the number of GPS points, each for certain conditions (e.g.: level 3, >30°, north sector, in the critical altitude range of the bulletin).

As not all winter sports enthusiasts record their tours, the GPS tracks only reflect a fraction of the actual ascents. The risk is therefore overestimated. Assuming that the same percentage of tours always found their way to the ski touring guru as GPS tracks, regardless of the conditions, a relative risk can still be determined for different conditions. For example: How does the risk at "level 3, >30°, north-facing slope, in the critical altitude range of the bulletin" differ from the risk at "level 3, >30°, southwest-facing slope, in the critical altitude range of the bulletin"?

Results

Over 90% of the accidents considered in the study happened at danger level 2 or 3. The accident location was almost always within the core zone of the bulletin, i.e. in the altitudes and exposures assessed as particularly critical.

The analysis of the GPS data shows that different altitudes and exposures are traveled to with different frequencies. The assumption implicit in Munter's reduction method that the same amount of skiing takes place everywhere is therefore not correct. North-facing slopes were skied 1.7 times more often than south or south-west-facing slopes. At level 2, 71% of the touring activity took place within the core zone of the bulletin. For level 3, even 86%. However, as higher altitudes and/or more exposures fall within the particularly critical core zone at level 3, this does not necessarily mean that less attention is paid to the bulletin at level 3.

The risk increases sharply with increasing danger level: at level 2, the risk is over 5 times as high as at level 1, at level 3 around three times as high as at level 2.

According to study author Kurt Winkler, the avalanche problem has only correlated with the risk in the last two winters (2019/20 and 2020/21), i.e. since the avalanche warning has been rule-based and thus more uniform in its assessment of avalanche problems. The latest data not yet included in the study shows that the old snow problem is rightly feared: the risk is 1½ times higher than for the other avalanche problems at the same danger level. In comparison to the danger level, however, this influence is significantly smaller.

Dependence on altitude and exposure

In relation to the number of GPS points ("non-accidents"), there are more accidents with increasing altitude, so the risk increases with altitude. No further increase was found above 2700m. Below the altitudes indicated as critical, the risk is over 5 times lower than at the critical altitudes.

Accidents occurred 3.6 times more often on north-facing slopes than on south-facing slopes. However, as north-facing slopes are also skied more often, the corresponding accident risk (accidents / skis used) is "only" 2.1 times higher - this clearly shows the influence that taking the number of skis used can have on the risk calculation.

While avoiding the northern sector (NW-N-NE) or the northern half (W-N-E) are important reduction factors in the reduction method according to Munter, the authors of the study conclude that the risk reduction achieved in this way is lower than assumed. The reduction factors "no northern sector/half" should therefore not be exhausted. Better results are achieved by avoiding the exposures specified in the bulletin.

According to Munter, the "hazard potential" within the core zone of the bulletin is 4 times higher than outside. This ratio corresponds to a difference of about two hazard levels. In the assessment, the one-level rule is common, i.e. the assumption of a reduction by one level outside the core zone (e.g. in the graphical reduction method or the SLF interpretation aid for the bulletin). The results of the study also tend to correspond to a reduction of one level.

The difference in risk between slopes within the core zone mentioned in the bulletin (i.e. slopes within the specified altitude as well as exposures) is clear. However, an even better differentiation is possible if altitude and exposure are considered separately: Even a little below the critical altitude zone, the risk is significantly lower than in the core zone, even if one remains in the critical exposure. The authors of the study therefore propose a method that incorporates altitude and exposure more clearly separately in rule-based decision aids.

Conclusion

By looking not only at accidents, but also at accidents in relation to accident-free skiing, it is possible to better quantify how the avalanche risk is related to the danger level and terrain characteristics. Even if many questions about the risk behavior of winter sports enthusiasts still remain unanswered, partly because the data situation is limited, the evaluation of the GPS tracks in combination with accident data provides interesting insights and ideas for further investigations.

Central results are:

  • Higher increase in risk with increasing danger level than assumed with Munter (Munter: Risk doubles per level. New study: risk quadruples.)

  • Risk increases strongly with altitude, the dependence of the risk on exposure is lower than assumed.

  • Avoidance of critical altitude ranges and exposures mentioned in the bulletin reduces the risk more than avoidance of fixed areas (e.g.: avoidance of the northern sector).

It remains to be seen whether this will result in concrete, new recommendations for action from training organizations or alpine clubs for dealing with rule-based methods.

SLF recommendations for practice:

The calculations make it clear that we can significantly reduce the risk on average using the bulletin. It is best to choose an area with a more favorable avalanche situation right from the start. There we get more safety with less sacrifice. If we are already somewhere and have to live with the conditions that prevail there, then it is best to choose a tour in the exposures and altitudes not mentioned in the bulletin, and not too steep. We can estimate what seems reasonable using the graphical reduction method (GRM), which is better confirmed by the data than the professional reduction method. Or we can make ourselves comfortable and choose a green tour from Skitourenguru, where an algorithm has calculated the statistical avalanche risk for us from even more factors.

We take this statistical risk, e.g. the color in GRM or Skitourenguru, as a "reference value" for each individual slope. It is far from perfect, but it is a good assumption. On the way, we collect information and use it to correct the reference value on each individual slope. The clearer the information is and the better we can evaluate it, the more we can do this. For a very steep slope within the critical altitude and exposure, you need good reasons to ski it, because the risk on such slopes is particularly high.

Despite occasional incorrect forecasts, it pays to listen to the avalanche bulletin. And despite occasional misjudgements, it is of course also worthwhile to carry out a level-headed, local risk assessment on the way.

Proposal for hazard level reduction as a graphic below and in the SLF News on the study.

Link to the study:

Winkler, K., Schmudlach, G., Degraeuwe, B., & Techel, F. (2021). On the correlation between the forecast avalanche danger and avalanche risk taken by backcountry skiers in Switzerland. Cold Regions Science and Technology, 188, 103299.

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This article has been automatically translated by DeepL with subsequent editing. If you notice any spelling or grammatical errors or if the translation has lost its meaning, please write an e-mail to the editors.

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