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On probabilities of avalanches triggered by alpine skiers. An empirically driven decision strategy for backcountry skiers based on these probabilities

机译:关于高山滑雪者引发雪崩的可能性。基于这些概率的经验驱动的偏远地区滑雪者决策策略

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摘要

Most fatal avalanche accidents in the Alps are caused by skiers and snow-boarders. It has been one aim from the beginning to give guidelines for backcountry skiers in order to avoid avalanche accidents. About 10 years ago, the mountain guide Werner Munter developed a strategy for backcountry skiers whether to go or not to go on a skiing tour. However, his decision strategy has a lack of empirical evidence because he does not take into account incidents without avalanche accidents. This article proposes a decision strategy for backcountry skiers based on probabilities of a logistic regression model using variables, such as danger level, incline of the slope and aspect of the slope, which turned out to be the most important ones. Additional information on frequencies of skiers on slopes under specific conditions is included in the model. We used accident data and avalanche forecasts in Tyrol reported by the Tyrolean avalanche information service within three seasons (1999-2002, 497 days of observations) for model building. Additionally we carried out a holdout validation using data of the same type within two seasons (2002-2004, 314 days of observation) in order to check the accuracy of the model. Our proposal shows a remarkable correlation with Munter's method.
机译:阿尔卑斯山最致命的雪崩事故是由滑雪者和滑雪者造成的。从一开始就为野外滑雪者提供指导,以避免雪崩事故是一个目标。大约10年前,登山向导Werner Munter制定了一项策略,让偏远地区的滑雪者决定是否参加滑雪之旅。但是,他的决策策略缺乏经验证据,因为他没有考虑没有雪崩事故的事件。本文提出了一种基于逻辑回归模型的概率的偏远地区滑雪者的决策策略,该模型使用了变量,例如危险程度,坡度和坡度,这是最重要的变量。该模型中包含有关在特定条件下滑雪者在斜坡上的频率的其他信息。我们使用蒂罗尔雪崩信息服务部门在三个季节(1999年至2002年,观测497天)内在蒂罗尔州提供的事故数据和雪崩预测来进行模型构建。此外,为了检查模型的准确性,我们在两个季节(2002年至2004年,观察314天)内使用相同类型的数据进行了保留验证。我们的建议显示出与Munter方法的显着相关性。

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