Analysis of the relationship between the dynamic snowmelt process of meadow grassland and meteorological factors: Ergun City
Received date: 2022-03-15
Revised date: 2022-06-21
Online published: 2022-10-25
The study of snow melt is of utmost importance in light of the increased global temperature and melting glaciers. The present study utilizes the ultrasonic snow depth measurement instrument, DSJ1, as well as meteorological observations from the same period, to analyze the snow melting process in Ergun from February-March, 2021. The results were as follows: (1) there is a sluggish snow melting period followed by a quick snow melting period in Ergun. During the slow snow melting season, the pace of snow melting on average was 0.37 cm·d-1 and could reach 4.75 cm·d-1 during the fast snow melting period. Every day between 2:00 and 19:00, the snow depth decreased at its lowest point. (2) As the temperature rose by 1 ℃, the snow depth decreased by 0.439 cm. When the snow depth was greater than 10 cm, the temperature range from -11 ℃ to 5 ℃ had a significant impact on snow depth, and the slope of the fitting trend between snow depth and temperature was greater when the temperature was above zero. (3) The temperature lag effect varied during the main and rapid snowmelt periods. The correlation between the current temperature and snow depth was the most significant factor during the rapid melting period. During the snow melt period, the change in snow depth depended primarily on the current temperature one hour ahead, followed by the temperature two hours ahead. Wind speed and direction were also critical factors. The correlation coefficient for snow depth was the lowest, and no hysteresis was evident. (4) The 5 cm ground temperature had the greatest influence on the variation in snow depth during the snow melt period in addition to the cumulative effect of multiple meteorological factors. Analysis of the law of snow melt in this paper will be followed by an in-depth analysis of the temperature change during snow melt, as well as the correlation between various meteorological factors and snow melt.
Key words: meadow grassland; dynamic snowmelt; meteorological factors
SANG Jing,WANG Yingbin,QIAN Lianhong,WANG Haimei,WANG Qiyu . Analysis of the relationship between the dynamic snowmelt process of meadow grassland and meteorological factors: Ergun City[J]. Arid Zone Research, 2022 , 39(5) : 1428 -1436 . DOI: 10.13866/j.azr.2022.05.08
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