Intra-landscape distribution of snow storage in the Mayma river basin (low-mountain area of the Russian Altai)

IF 0.7 Q4 GEOSCIENCES, MULTIDISCIPLINARY
L. Lubenets, D. Chernykh
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引用次数: 0

Abstract

The paper presents the results of observations and cartographic modeling of distribution of maximum snow storages (snowpack water equivalent) in the low-mountain forest landscapes of the Maima river basin in different by snow amount winters. The weather conditions during cold periods of 2014/15–2017/18 were analyzed. The data on precipitation and mean monthly temperatures for the above mentioned seasons were compared with averaged values for 1998–2018 as the whole. It was found that the values of snow storages as well as losses for evaporation here are mainly conditioned by the meteorological parameters of the cold period. The algorithm of mapping with the use of the landscape cartographic basis and corrections for features of the relief and the character of the underlying surface is proposed. This algorithm may be used in the studies of snow accumulation in low-mountain forest landscapes. It had been found that the cold periods of 2014/15 and 2016/17 were characterized by the highest excess of winter precipitation over the averaged long-term values, whereas the lowest values were typical for 2017/18 and 2015/16. According to mean monthly air temperatures, the investigated winters were warm. The data on the in situ measurements and calculations confirm the dependence of snow accumulation in the basin on an altitude gradient, vegetation features, expositions and surface steepness. Consistently high values of snow storages are characteristic for the black-taiga landscapes on the shadow slopes (North-Western, Northern and North-Eastern expositions) with an angle of up to 20° with small-leaved forests. Minimum values of snow storages are observed in the sub-taiga part of the basin on the slopes of light (South-Western, Southern and South-Eastern) and transitional (Western and Eastern) expositions with an angle of more than 20° with the domination of original coniferous forests.
俄罗斯阿尔泰低山区梅尔马河流域积雪景观内分布特征
本文介绍了不同雪量冬季麦马河流域低山森林景观最大雪储量(积雪水当量)分布的观测结果和制图模拟结果。分析了2014/15-2017/18年寒期的天气状况。将上述季节的降水和月平均气温数据与1998-2018年的整体平均值进行比较。研究发现,这里的积雪量和蒸发损失量主要受寒期气象参数的影响。提出了利用景观地图学基础,对地形特征和下垫面特征进行校正的制图算法。该算法可用于低山森林景观的积雪研究。结果表明,2014/15年和2016/17年寒期冬季降水超长期均值最高,2017/18年和2015/16年冬季降水超长期均值最低。根据月平均气温,调查的冬季较为温暖。现场测量和计算的数据证实了盆地积雪与海拔梯度、植被特征、暴露度和地表陡度的相关性。在小叶林的阴影斜坡上(西北、北部和东北部)的黑针叶林景观的特征是持续高的雪储量,其夹角高达20°。在浅坡(西南、南部和东南部)和过渡坡(西部和东部),以原始针叶林为主,雪储量最小。
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来源期刊
Led i Sneg-Ice and Snow
Led i Sneg-Ice and Snow GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.50
自引率
42.90%
发文量
11
审稿时长
8 weeks
期刊介绍: The journal was established with the aim of publishing new research results of the Earth cryosphere. Results of works in physics, mechanics, geophysics, and geochemistry of snow and ice are published here together with geographical aspects of the snow-ice phenomena occurrence in their interaction with other components of the environment. The challenge was to discuss the latest results of investigations carried out on Russia’s territory and works performed by Russian investigators together with foreign colleagues. Editorial board works in collaboration with Glaciological Association that is professional community of specialists in glaciology from all republics of the Former Soviet Union which are now new independent states. The journal serves as a platform for the presentation and discussion of new discoveries and results which help to elucidate the state of the Earth’s cryosphere and the characteristics of the evolution of the snow-ice processes and phenomena under the current conditions of rapid climate change.
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