Relationship between PM_(10) Mass Concentration and Bulk Richardson Number in Beijing

为了研究总体理查逊数对可吸入颗粒物PM_(10)(particulate matter with aero-dynamic diameter smaller than 10μm)质量浓度的影响,对2007年11月北京南郊观象台的PM_(10)质量浓度资料、地面气象自动站资料和常规无线电探空资料进行了分析.统计分析软件采用SPSS 15.0(Statistical Package for Social Sciences 15.0).分析结果表明,在北京地区以稳定层结为主的条件下,PM10质量浓度与地面气象要素和总体理查逊数存在很好的规律性.PM_(10)质量浓度与风速和相对湿度显著相关,相关系数分别为-0.65和0.69,通过α=0.01显著性检验;PM_(10)质量浓度与地面至450m层的总体理查逊数存在显著的对数形式非线性关系,决定系数R~2=0.42.非线性回归方程的独立样本预测检验显示回归模型可以用于根据无线电探空资料对PM_(10)质量浓度进行预测.The analysis data include the PM_(10) (particulate matter with aero-dynamic diameter smaller than 10μm) mass concentration,AWS (automatic weather station) data and radio-sounding data at Beijing Observatory in November 2007, to find out the relationship between PM_(10) mass concentration and bulk Richardson number. The result got by statistical analysis software SPSS 15.0 shows that there is strong correlation between PM_(10) mass concentration and surface meteorological factors, as well as bulk Richardson number in atmospheric stable stratification condition in Beijing area. The linear correlation between PM_(10) mass concentration and wind speed (r=-0.65,α=0.01) is significant, and the same as that PM_(10) mass concentration and relative humidity (r=0.69,α=0.01). There is a nonlinear relationship like logarithm (R~2=0.42) between PM_(10) mass concentration and bulk Richardson number of ground to 450m layer. Besides, some independent sample tests also suggest that the regression model simulates the PM_(10) mass concentration well when using the radio-sounding data.中央级公益性科研院所基本科研业务费专项基金; 科学技术部公益性行业(气象)科研专项基金; 中国气象局气象新技术推广项目; 中国气象局北京城市气象研究所城市气象科学研究基金中文核心期刊要目总览(PKU)中国科技核心期刊(ISTIC)中国科学引文数据库(CSCD)02192-1984