作　　者： ; ; ; ;

机构地区： 中山大学工学院智能交通研究中心

出　　处： 《中国环境监测》 2013年第2期15-21,共7页

摘　　要： 对广州市2008—2010年PM2.5质量浓度、影响因素数据资料进行整理统计,通过定性分析、定量计算以及对各物理量之间的相互作用过程研究,得出PM2.5质量浓度变化特征和各影响因素之间的关系。结果表明,PM2.5质量浓度变化呈现夏季和非夏季2种典型的季节性特征,夏季月平均值0.049 mg/m3,主要分布在0.03～0.05 mg/m3,非夏季月均值为0.063 mg/m3,分布于0.05～0.08 mg/m3之间;夏季、非夏季PM2.5质量浓度超标率(采用美国EPA标准)分别为70.7%、77.8%,质量标准2倍、3倍以上出现的概率都表现出明显的季节性差异;PM2.5与温度正相关,和其他因素负相关,其中与能见度相关性最大,其次是温度、风速,与降雨量相关性最差,与气压、相对湿度相关系数季节性特征显著。 Through sorting the data of PM2 5 concentration and influence factors of Guangzhou from 2008 to 2010, with qualitative analysis,quantitative calculation and study on the interaction of physical quantities, obtained variation characteristics of PM2.5 concentration and its relationship with influencing factories. Results showed that： PM2.5 concentration showed two typical summer and non-summer seasonal characteristics, while the average monthly concentration in summer was 0.049 mg/m^3, mainly distributed in 0.03 - 0.05 mg/m^3 , and in non-summer was 0.063 mg/m^3, distributed in 0.05 - 0.08 mg/m^3; The over standard rate（ based on the USEPA Standards） in summer and non-summer was 70. 7% and 77.8% , the surpassing times exceeding 2 or 3 times of the quality standard showed obvious seasonal variations; PM2.5 had positive correlation with temperature and negative correlation with other factors. The most relevant factor was visibility, followed by temperature and wind speed, and the final one was rainfall. The correlation between PM2.5 and air pressure,relative humility showed obvious seasonal characteristics.

关 键 词： 污染特征 气象因素 相关性 超标率

领　　域： [环境科学与工程]