Abstract: The exploration analysis and correlation analysis were done using the Air Quality data and synoptic radio sonic data in Beijing, 2007 to illustrate the relationship between the spatio-temporal distribution of PM₁₀ mass concentration and the meteorological condition and its diurnal and seasonal variation, The results show that the synoptic condition in the atmospheric boundary layer dominates the accumulation, transportation, dilution and sinking processing. There is a significantly negative correlation between PM₁₀ mass concentration and synoptic conditions such as height of Atmospheric boundary Layer (ABL) and wind speed while positive correation between PM₁₀ mass concentration and temperature near ground surface pressure. Besides, the correlation varies with seasons; The relationship between PM₁₀ mass concentration and wind speed can be described by a U-curve which obey a binomial model. The PM₁₀ mass concentration observation data in November 2007 shows a minimum records with wind speed of 4.1 m/s.

Key words: PM₁₀ mass concentration, one unit curve return, atmospheric boundary layer, wind speed near ground, atmospheric pressure, height of ABL

摘要： 对北京市2007年观象台观测站PM₁₀质量浓度资料、观象台气象自动站资料、风廓线资料和探空资料进行了数据分析。结果表明, 在污染物源强一定的条件下, 污染物的积累、稀释、扩散和清除主要取决于气象条件。近地面风速、温度、湿度、气压和边界层高度等气象条件对于可吸入颗粒物的污染程度有着很重要的影响: PM₁₀质量浓度与地面风速、温度、湿度、气压和大气边界层高度呈显著相关性, 并且相关性随季节变化明显。其中, 6月PM₁₀质量浓度与地面风速和大气边界层高度呈负相关性, 而与温度呈正相关, 11月则与温度成负相关; 风速与PM₁₀质量浓度之间的相关性可以用二次多项式来描述, 二者呈“U”形变化。另外由11月份PM₁₀质量浓度资料的分析表明, 当月PM₁₀质量浓度最小值对应的风速为4.1 m/s。

关键词: PM₁₀质量浓度, 一元曲线回归, 大气边界层, 近地面风速, 气压, 边界层高度