Acta Scientiarum Naturalium Universitatis Pekinensis

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Intensity Variation of Influence Factors on Floating Dust in the Tarim Basin

MA Yu1, WANG Xu2, KANG Fengqin3   

  1. 1Climatic Center of Xinjiang, Urumqi, 830002; 2Weather Modification Office of Xinjiang, Urumqi, 830002,Corresponding Author, E-mail: wangxu2323@vip.163.com; 3Lanzhou Institute of Arid Meteorology, China Meteorological Administration;  Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province, Lanzhou, 730020
  • Received:2006-07-13 Online:2007-05-20 Published:2007-05-20

塔里木盆地浮尘影响因子的强度变化

马禹1,王旭2,康凤琴3   

  1. 1新疆气候中心,乌鲁木齐,830002; 2新疆人工影响天气办公室,乌鲁木齐,830002, 通讯作者, E-mail:wangxu2323@vip.163.com;3中国气象局兰州干旱气象研究所,甘肃省干旱气候变化与减灾重点实验室,兰州,730020

Abstract: Based on daily observation data from 27 meteorological stations in the peripheral regions of Tarim Basin from 1961 to 2003, the authors sort out 40 meteorological factors and show the existence of consistency among the analogical meteorological factors with correlation analysis. 15 among the 40 factors, such as daily mean and 6, hour variation of sea level pressure, air temperature and wind speed, daily mean of relative humidity, daily precipitation and daily maximum depth of frozen soil, are considered having influences on floating dust weathers, while others are neglected due to their self, consistencies. The degree of correlations between these 15 factors and floating dust weathers has significant changes from one month to another. Analyses of multivariate linear regression show significant seasonal changes. At 08:00, 14:00 temperature variation and daily, mean relative humidity are the dominant factors of influencing on floating dust weathers in all seasons. At 14:00, 20:00 in spring and summer, pressure variation is the secondary factor. At 08:00, 14:00 in autumn variation of wind speed is important. Daily, mean wind speed is important in all seasons, with more prominent influences in spring and winter.

Key words: floating dust, meteorological factor, correlation analysis, influence

摘要: 根据塔里木盆地周边27个气象观测站1961—2003年逐日地面观测资料,整理得到40个气象要素,相关分析表明同类气象要素之间存在一致性。剔除一致性要素后共得到海平面气压、气温、风速的日平均及其6h变化,日平均相对湿度,日降水量,日最大冻土深度等15个浮尘影响因子,各月15个因子与浮尘天气的相关程度明显不同。多元线性回归浮尘影响因子模型的分析结果表明,各因子对浮尘天气的影响程度有着明显的季节特征,08—14时变温和日平均相对湿度对浮尘天气的影响始终是首要的,14—20时变压在春、夏季和08—14时风速差在秋季对浮尘天气的影响程度位居其后。日平均风速的影响虽然也贯穿始终,但影响程度变化较大,以春季和冬季最为明显。

关键词: 浮尘, 气象要素, 相关分析, 影响因子, 强度变化

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