【摘要】 利用北京南郊观象台2016年3月1日-2017年2月28日β射线法与TEOM法观测的PM₁₀质量浓度观测数据,通过t检验、线性回归和相关分析等方法对两种方法观测的小时、日、周、月、季等数据进行相关性分析。结果表明:两种方法观测的PM₁₀小时平均质量浓度总体的线性回归方程相关系数R²为0.870;在低浓度范围(PM₁₀<50μg·m^-3)时二者为微弱相关（R²=0.073）;中等浓度范围(50μg·m^-3≤PM₁₀<350μg·m^-3)时二者为低度相关（R²为0.257～0.346）;高浓度范围(PM₁₀≥350μg·m^-3)时二者为高度相关（R²=0.686）。二者日平均PM₁₀质量浓度数据总体的R²为0.929;二者PM₁₀质量浓度小时数据周相关系数为0.598～0.980。二者月平均PM₁₀质量浓度数据间的相关系数为0.628～0.976;二者季节的R²为0.627～0.944,呈现冬季的>秋季的>春季的>夏季的。由此可发现,两种观测方法观测的PM₁₀质量浓度的结果总体呈显著性的线性相关关系,且浓度越高,相关性越强。更多还原

【Abstract】 Based on PM₁₀ mass concentration data observed by β-ray method and TEOM method from 1 st March 2016 to 28 th February 2017 at Beijing Nanjiao Observatory, correlations of hourly, daily, weekly, monthly and seasonal data by these two methods were analyzed through the t test, linear regression and correlation analysis method. The results showed that the linear regression equations for the hourly average data of PM₁₀ mass concentration by the two methods have correlation coefficient（R²） of 0.870. When PM₁₀ mass concentration is lower than 50 μg·m^-3(PM₁₀ <50 μg·m^-3), the correlation is weak（R²=0.073）; when PM₁₀ mass concentration is in moderate range(50 μg·m^-3≤PM₁₀<350 μg·m^-3), the correlation is at a lower rate with R² value between 0.257 and 0.346; and when PM₁₀ mass concentration is in a higher range(PM₁₀≥350 μg·m^-3), they are highly correlated（R²=0.686）. Moreover, the overall R²=0.929 is for the daily average PM₁₀ mass concentration data, the weekly correlation coefficient R² of the hourly PM₁₀ mass concentration is 0.598-0.980, the R² of the monthly average PM₁₀ mass concentration data is 0.628-0.976, and 0.627-0.944 is for the R² of seasonal average data, respectively. Obviously, the R² sorts from small to large in the order of winter>autumn>spring>summer. Therefore, it can be concluded that the mass concentrations of PM₁₀ measured with the two methods have notable linear correlations in general. The higher the concentration, the stronger the correlation.更多还原