黄河源区积雪变化时空特征及其与气候要素的关系

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Abstract Based on the long-term snow depth data from 1979 to 2016 and the precipitation, air temperature observation data series from meteorological stations during the same period, the temporal and spatial changing characteristics of the annual average snow depth and snow days in the Yellow River source region (YRSR) were analyzed to reveal the influence of climate change on snow cover. The elasticity coefficient method and the correlation analysis method were employed to quantitatively evaluate the sensitivities of snow cover to precipitation and air temperature changes in different zones of the YRSR. The results show that the duration of snow days in the YRSR was concentrated from November to next April. Earlier initial snow date and later final snow date usually occurred in the source and the northwest high mountainous area, with higher annual average snow depth and longer snow days. Over the research period (1979~2016), the areal-average precipitation showed an insignificant decreasing trend, with a decrease rate of -2.43mm/10a, while the air temperature increased significantly. Annual snow depth and number of snow days both showed a downward trend, but the trends are not significant at the 0.05 level. The elasticity coefficients of snow days to precipitation and air temperature in the duration of snow days were 0.513 and -1.347 respectively, and the elasticity coefficients of snow depth were 0.696 and -0.219, respectively. Comparatively, variations of snow cover in the upper reaches with high mountains and low temperature were more sensitive to climate change. The decrease in precipitation was the main factor for the decrease of snow days, with the relative contribution rate of 77.2%. The relative contribution rates of precipitation and air temperature to snow depth were 43.7% and 56.3%, respectively. The contribution rate of precipitation to snow depth was relatively higher in the northwest regions, and the air temperature was the dominant factor affecting the snow depth in the south and east parts of the YRSR.

Key words： Yellow River source region snow cover change climate change correlation analysis elasticity coefficient method

Received: 28 July 2020

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	GUAN Xiao-xiang
	LIU Cui-shan
	BAO Zhen-xin
	JIN Jun-liang
	WANG Guo-qing

Cite this article:

GUAN Xiao-xiang,LIU Cui-shan,BAO Zhen-xin等. Spatial-temporal variability of the snow over the Yellow River source region and its influencing climate factors[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(3): 1045-1054.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I3/1045

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