(1.河海大学水文水资源学院,江苏 南京 210098;2.河海大学水文水资源与水利工程科学国家重点实验室, 江苏 南京 210098;3.河海大学长江保护与绿色发展研究院,江苏 南京 210098;4.中国气象局-河海大学水文气象研究联合实验室,江苏 南京 210098)
(1.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;2.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;3.Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, China;4.China Meteorological Administration-Hohai University Joint Laboratory for HydroMeteorology Studies, Nanjing 210098, China)
Based on snow depth satellite data and gridded observed precipitation and air temperature data from 1979 to 2018 in the upper-middle reaches of the Yalong River, the spatiotemporal distribution of snow cover and its influencing factors were analyzed. The correlation analysis method was employed to assess the correlation of the snow depth with climatic factors (precipitation and air temperature) and terrain factors (elevation, slope, and aspect), and the contribution rate of each factor to the spatial distribution of snow depth. Trend analysis was conducted to investigate the temporal changes of snow depth and climatic factors. The results show that the contribution rates of precipitation, air temperature, elevation, slope, and aspect to the annual mean snow depth are 0.218,0.453,0.206,0.080, and 0.043, respectively, with the contributions of climatic factors to the spatial variability of snow depth being higher than those of terrain factors. Snow cover duration in the upper-middle reaches of the Yalong River usually spans from October to May of the next year. In this period, annual mean snow depth in most of the study area shows an insignificant decreasing trend, while annual precipitation and annual mean air temperature show significant increasing trends, especially in the northwest and southeast of the study area. The correlation coefficient of snow depth with precipitation across this region is mostly positive, while the correlation coefficient with air temperature is generally negative. Meanwhile, there are high correlations between snow depth and climate factors in the middle and lower parts of the study area. Air temperature has the highest correlation with snow depth, followed by elevation, slope, precipitation, and aspect.
吴南,张珂,管晓祥,等.1979—2018年雅砻江中上游积雪时空变化及影响因素分析[J].水资源保护,2022,38(5):151-158.(WU Nan, ZHANG Ke, GUAN Xiaoxiang, et al. Spatiotemporal variations of snow cover and its influencing factors in upper-middle reaches of the Yalong River from 1979 to 2018[J]. Water Resources Protection,2022,38(5):151-158.(in Chinese))复制