Аpplication of a sociological survey to assess the quality of avalanche danger forecasts in Ile Аlatau mountains

V.P. Blagovchshenskiy, V.V. Zhdanov
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Abstract

The results of assessing the quality of avalanche danger forecasts based on data from a sociological survey are considered. The avalanche danger forecast was compiled using a method developed at the Institute of Geography and Water Security, using artificial intelligence. The level of avalanche danger was assessed on an international 5-point scale. The avalanche danger forecast was distributed on social networks in the form of an avalanche bulletin. To assess the quality of avalanche forecasts, a sociological survey was conducted among users. The survey involved 214 people - tourists, climbers and skiers. It turned out that 93% of respondents regularly watch avalanche danger forecasts, and 71% of respondents are ready to refuse to go to the mountains if the level of avalanche danger is high. The majority of consumers (82%) positively assess the work of the avalanche service in Kazakhstan.
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Аpplication是一项社会学调查的结果,目的是评估Аlatau山区雪崩危险预报的质量
本文考虑了基于社会学调查数据的雪崩危险预报质量评估结果。雪崩危险预报是利用地理与水安全研究所开发的一种人工智能方法编制的。雪崩危险等级是按照国际5分制进行评估的。雪崩危险预报以雪崩公告的形式在社交网络上发布。为了评估雪崩预报的质量,在用户中进行了社会学调查。这项调查共有214人参与,包括游客、登山者和滑雪者。调查结果显示,93%的受访者会定期观看雪崩危险预报,71%的受访者表示,如果雪崩危险程度高,他们会拒绝去爬山。大多数消费者(82%)对哈萨克斯坦的雪崩服务工作给予了积极评价。
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