用树木地貌学方法评价南喀尔巴阡山脉布塞吉山脉Sinaia滑雪场的雪崩

M. Voiculescu, A. Onaca
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引用次数: 22

摘要

鉴于雪崩对人类生命和财产造成的破坏和危害,它是罗马尼亚喀尔巴阡山脉的一项主要自然灾害。尽管近年来有生命损失,但对罗马尼亚雪崩地貌学的了解仍然有限。Sinaia滑雪区位于buegi山脉,是罗马尼亚喀尔巴阡山脉最重要的滑雪胜地,有两个不同的滑雪活动中心:Valea Dorului和鲤鱼谷。近年来,高山滑雪、自由式滑雪和自由骑行等冬季运动的受欢迎程度显著增加。锡纳亚滑雪区包括有标志的和非滑雪道,这使得该地区吸引了各种各样的滑雪者。与此同时,由于自然原因和滑雪者的活动,危险雪崩的可能性也在增加。在本文中,我们概述了使用树木地貌学方法来重建过去的雪崩活动,并评估雪崩的规模和频率,以便更好地了解这种危害。利用附近的Omu (2505 m)和Sinaia (1500 m)山地气象站,我们研究了过去46年来降雪日数、大雪日数和积雪日数的年变化,并对雪崩风险进行了评估。为了实现这一目标,我们获得了该地区62棵树的岩心和横截面,用于树木地貌分析。树木年轮分析表明,当考虑地形参数和树木分布模式时,气象数据、雪崩风险和雪崩活动之间存在很强的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Snow avalanche assessment in the Sinaia ski area (Bucegi Mountains, Southern Carpathians) using the dendrogeomorphology method
In view of the damage and hazard they pose to human life and property, snow avalanches are a major natural hazard in the Romanian Carpathian Mountains. Despite the loss of life in recent years, geomorphological understanding of snow avalanches in Romania remains limited. The Sinaia ski area, located in the Bucegi Mountains, is the most important ski resort in the Romanian Carpathians with two distinct centres of skiing activity: the Valea Dorului and Carp Valley. Winter sports such as alpine skiing, freestyle and freeriding have significantly increased in popularity in recent years. The Sinaia ski area comprises both marked and off-piste trails, which make the region attractive to a wide range of skiers. At the same time, there is also an increased probability of hazardous avalanches due to both natural causes and the activity of skiers. In this paper we outline the use of the dendrogeomorphological method to reconstruct past avalanche activity and to assess the magnitude and frequency of avalanches in order to gain a better understanding of this hazard. Using the nearby mountain weather stations of Omu (2505 m) and Sinaia (1500 m), we examine the annual variation in the number of days with snowfall, heavy snowfall and the number of days with snow cover over the past 46 years, together with an assessment of the risk of avalanches. In order to achieve this, we obtained cores and cross sections from 62 trees in the area for dendrogeomorphological analysis. Tree-ring analysis demonstrates a strong correlation between meteorological data, avalanche risk and avalanche activity, when taking topographic parameters and tree distribution patterns into consideration.
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