气象因素对成都市主要大气污染物影响的非参数分析

Non-Parameter Statistical Analysis of Impacts of Meteorological Conditions on Air Pollutants Concentration in Chengdu

通过获取2014年成都市大气污染物和气象因素的在线监测数据,分析大气污染物的时间变化规律,并采用Spearman秩相关系数来分析污染物逐日浓度和气象因素的相关性。结果显示,SO_2、NO_2、CO、PM_(10)和PM_(2.5)夏季浓度最低,冬季最高,O_3则夏季最高,冬季最低;受秸秆露天焚烧影响,5月各污染物浓度均出现一个小高峰。温度和风速均与O_3显著正相关,与其他污染物显著负相关;大气压则相反;相对湿度与各污染物均显著负相关,但在严重污染时与颗粒物显著正相关。

Online monitoring data of air pollutants and meteorological parameters of Chengdu in 2014 were collected to study their temporal distribution characteristics, and the correlation between daily concentration and meteorological parameters were analyzed using spearman rank correlation coefficient. The results showed that the highest concentration of ozone appeared in summer while the lowest appeared in winter. The concentration of other air pollutants （ sulfur dioxide, nitrogen dioxide, carbon monoxide, inhalable particle and fine particulate matter） were just the opposite. All the pollutants showed up a small peak in May which might be affected by field bion^ass burning emissions. In term of correlation between atmospheric pollutants and meteorological parameters, the temperature and wind speed showed a significantly positive correlation with ozone, and a significantly negative correlation with other pollutants. The barometric pressure had opposite influence on air pollutants. A significantly negative correlation existed between the relative humidity and all pollutants, however it showed a reverse relationship with particulate matter under serious pollution.