天山北坡融雪期林地、草地、裸地积雪特性及其影响因素分析
摘要
【Background】Snowfall on the north face of the Tian mountain in Xinjiang is seasonal and how seasonal snowmelt affects the snowpack has been well documented at watershed scale but not at slope scale. Understanding the change in snowpack in areas under different vegetations is crucial to accurately quantifying snow ablation and provide bassline for predicting surface runoff into rivers. 【Objective】The overall objective of this paper is to analyze and compare the changes in snowpack traits, including its depth, density, liquid water content, and temperature, in areas with different vegetations at north slope of the Tian mountain, as well as their determinants. 【Method】Snowpack traits, meteorological factors - including temperature, solar radiation, relative air humidity, and edaphic factors - including soil moisture content and temperature, in woodland, grassland and bare land were monitored in real-time during snowmelt season. Pearson correlation analysis method was used to calculate the correlation between the meteorological factors, edaphic factors and snowpack traits in three areas. 【Result】The average depth of the snowpack in woodland, grassland and bare land in snowmelt season was 8.06, 18.67, and 16.34 cm, respectively, and the density and liquid water content in the snowpack in the woodland were 0.48 g/cm3 and 0.66%, respectively, higher than those in grassland and bare land. Average snow temperature in the woodland was -0.032 ℃, lower than that in the grassland and bare land. The snowpack depth in the bare land was negatively correlated with solar radiation at significant level with a correlation coefficient of -0.960. The snow density in the grassland was positively correlated with solar radiation at significant level. The density, liquid moisture content and temperature of the snowpack in the bare land were all positively correlated with ambient air temperature at very significant level. Snow density in the woodland was positively correlated with soil temper