Climate Characteristics and Changes of Winter Snowfall in the Middle and Lower Reaches of the Yangtze River from 1961 to 2017

DONG Heng-xin; ZHANG Zi-lu; ZHANG Xin-yu; ZENG Yan; ZHU Xiao-chen; QIU Xin-fa; ZHU Si-yuan; MI Xin

doi:10.11988/ckyyb.20200110

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Journal of Changjiang River Scientific Research Institute ›› 2021, Vol. 38 ›› Issue (2) : 12-17,23. DOI: 10.11988/ckyyb.20200110

WATER RESOURCES AND ENVIRONMENT

Climate Characteristics and Changes of Winter Snowfall in the Middle and Lower Reaches of the Yangtze River from 1961 to 2017

DONG Heng-xin¹, ZHANG Zi-lu¹, ZHANG Xin-yu¹, ZENG Yan^{2, 3}, ZHU Xiao-chen¹, QIU Xin-fa¹, ZHU Si-yuan¹, MI Xin¹

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Abstract

Climate change results in frequent local meteorological disasters, and in particular, snowfall events cause severe damage to transportation, electricity, and agriculture. On the basis of data of 118 conventional meteorological stations in the middle and lower reaches of the Yangtze River from 1961 to 2017, the characteristics of winter snowfall in the study area are examined by using climate tendency, cumulative anomaly, non-parametric M-K trend analysis and REOF (Rotated Empirical Orthogonal Function). Results unveil that snowfall in most areas of the middle and lower reaches of the Yangtze River indicates a decreasing trend with age. The number of snowfall days in winter changed abruptly in 1981 from increasing trend to declining trend. The results of REOF suggest that the snowfall and snowfall change are mainly concentrated in the northwest area of the middle and lower reaches of Yangtze River. The research findings offer technical support for preventing snowfall disasters.

Key words

climate tendency;trend analysis;mutation test;REOF decomposition;middle and lower reaches of the Yangtze River

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DONG Heng-xin, ZHANG Zi-lu, ZHANG Xin-yu, ZENG Yan, ZHU Xiao-chen, QIU Xin-fa, ZHU Si-yuan, MI Xin. Climate Characteristics and Changes of Winter Snowfall in the Middle and Lower Reaches of the Yangtze River from 1961 to 2017[J]. Journal of Changjiang River Scientific Research Institute. 2021, 38(2): 12-17,23 https://doi.org/10.11988/ckyyb.20200110

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