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Historic climate factors associated with major avalanche years on the Wasatch Plateau, Utah

机译:与犹他州沃萨奇高原主要雪崩年相关的历史气候因素

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This study examined climate factors associated with major avalanche years on the Wasatch Plateau in south-central Utah. Dendro-ecological methods were used to date the occurrence of avalanche events in 16 avalanche paths during the period of 1928-1996. From this information, the probability of avalanche occurrence in each path for eachyear was calculated, and used to distinguish major avalanche years. The resulting avalanche chronologies indicated that 14 large widespread avalanche events occurred on the Wasatch Plateau between 1928 and 1996. Logistic regression and classification tree analyses were used to examine relationships between climate variables and the probability of major avalanche years. The results of logistic regression analysis showed that mean January snowfall was significantly related (p<0.0001) to the probability of major avalanche years, although model correlations were extremely low. Variability in the data resulting from path differences, potential dating errors, the lack of complete historic climate records and the absence of snow pack information may have prohibited obtaining higher model correlations. The model, however, may help substantiate explanations of avalanche formation and initiation in the Intermountain region, or serve to generate alternative hypotheses for predicting major avalanche events. Avalanche professionals and land managers can use this information to augment conventional strategies for protection, forecasting, land use planning and management. This information also has broad ecological implications for increasing our understanding of major avalanches as important disturbances of Intermountain alpine and subalpine ecosystems.
机译:这项研究检查了与犹他州中南部Wasatch高原上主要雪崩年相关的气候因素。在1928年至1996年期间,采用树状生态学方法对16条雪崩路径中的雪崩事件的发生进行了测年。根据此信息,可以计算出每年在每个路径中发生雪崩的概率,并将其用于区分主要雪崩年。由此产生的雪崩年表表明,在1928年至1996年之间,沃萨奇高原发生了14次大范围的大雪崩事件。使用逻辑回归和分类树分析来检验气候变量与主要雪崩年的概率之间的关系。 Logistic回归分析的结果表明,尽管模型相关性极低,但平均一月降雪量与主要雪崩年的概率显着相关(p <0.0001)。由于路径差异,潜在的年代误差,缺乏完整的历史气候记录以及没有积雪信息而导致的数据可变性可能阻止了更高的模型相关性。但是,该模型可能有助于证实山间地区雪崩形成和萌生的解释,或者有助于生成预测主要雪崩事件的替代假设。雪崩专业人士和土地管理人员可以使用此信息来增强保护,预测,土地使用规划和管理的常规策略。这些信息还具有广泛的生态学意义,有助于加深我们对主要雪崩的了解,这些雪崩是山间高山和亚高山生态系统的重要干扰。

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