中国沙漠 ›› 2013, Vol. 33 ›› Issue (4): 1124-1130.DOI: 10.7522/j.issn.1000-694X.2013.00159

• 天气与气候 • 上一篇    下一篇


高贵生, 宋理明, 马宗泰   

  1. 青海省海北牧业气象试验站, 青海 海晏 810200
  • 收稿日期:2012-05-03 修回日期:2012-08-10 出版日期:2013-07-20 发布日期:2012-08-10

Temporal-spatial Distribution and Impact Factors of Dustfall in Qinghai Province of China

GAO Gui-sheng, SONG Li-ming, MA Zong-tai   

  1. Haibei Animal Husbandry Meteorological Experiment Station, Haiyan 810200, Qinghai, China
  • Received:2012-05-03 Revised:2012-08-10 Online:2013-07-20 Published:2012-08-10



关键词: 降尘量, 时空分布, 气候因子, 社会因子, 灰色关联分析, 主成分分析


Atmospheric dust can be seen everywhere in life, and it is closely related with peoples life. Dustfall data from 8 monitoring stations, climate and social data of Qinghai Province in 2004-2010, and the methods of grey correlation analysis and principal component analysis were applied to study the temporal-spatial distribution of dustfall and its influence factors. It showed that the quantity of dustfall was large in cities and small in Waliguan mountain; monthly dustfall was the most in April, the lest in November; seasonal dustfall appeared as spring>summer>winter>autumn; In 2004-2010, the annual dustfall declined in Madoi and Xining, and annual dustfall increased in Gonghe and Ping'an, while change trends of annual dustfall were not significant for Waliguan, Delingha, Tongren and Golmud. Inter-annual and inter-decadal sand-dust weather frequency reduced. Correlation degree between dustfall and climate factors gradually increased from east to west in Qinghai; The social factors with correlation degree more than 0.900 with dustfall were afforestation area, timber, completed building area, smoke and dust emissions, vegetation cove comprehensive index, population, industrial dust emissions and sown crop area; the principal component analysis on the climatic, social factors with grey correlation degree greater than 0.8 showed that load value of climate factors was significantly higher than social factors, the influences of climatic factors on dustfall were prominent and concentrated, while the influence of social factors were complex and scattered.

Key words: dustfall, temporal-spatial distribution, climatic factors, social factors, gray relational analysis, principal component analysis