无锡市区大气污染物污染特征及影响因素研究

Pollution characteristics and influence factors of air pollutants in Wuxi City

利用2014年无锡市区的6种大气污染物浓度和气象因子等监测数据,研究了无锡市区各种大气污染物的污染特征及其影响因素。结果表明:(1)无锡市区PM_(2.5)、PM_(10)、SO_2、NO_2、CO浓度的季节变化特征为冬季最高,夏季最低;O_3浓度表现为夏季最高,冬季最低。就全年的综合情况而言,颗粒物污染,尤其是PM_(2.5)污染最严重。(2)PM_(2.5)、PM_(10)、SO_2、NO_2、CO浓度间两两呈正相关;PM_(2.5)、SO_2、NO_2、CO浓度均与O_3浓度呈负相关。(3)温度与PM_(2.5)、PM_(10)、SO_2、NO_2、CO浓度呈负相关,与O_3浓度呈正相关;相对湿度与PM_(2.5)、PM_(10)、SO_2、NO_2、O_3浓度呈负相关,与CO浓度无相关性;风级与PM_(2.5)、PM_(10)、SO_2、NO_2、CO浓度呈负相关,与O_3浓度无相关性。降水有利于PM_(2.5)、PM_(10)、SO_2、NO_2、O_3浓度的降低,但对CO浓度影响不大。(4)无锡市区空气质量周末比工作日差。NO_2、SO_2浓度周末低于工作日,O_3浓度周末高于工作日,呈现明显的"周末效应";PM_(2.5)、CO浓度周末高于工作日,未出现"周末效应"。

The pollution characteristics and influence factors of 6 kinds of air pollutants in Wuxi City were studied by analyzing the monitoring data of both air pollutant concentrations and meteorological factors in 2014. The resuits showed that： （1） the seasonal change feature of PM2.5, PM10 , SO2, NO2 and CO concentrations was highest in winter and lowest in summer while the feature of Oa was highest in summer and lowest in winter. As far as the whole year concerned,atmospheric particulates pollution,especially PM2.5 pollution was the most serious. （2） PM2.5, PM10, SO2 ,NO2 ,CO concentrations were positively correlated with each other and PM2.5, SO2, NO2, CO concentrations were negatively correlated with 03 concentrations. （3） Temperature had negative correlations with PM2.5 , PM10, SO2 , NO2 ,CO concentrations,but positive correlation with Oa concentrations. Relative humidity had negative correlations with PM2.5 ,PM10 ,SO2 ,NO2, O3 concentrations, but no correlation with CO concentrations. Wind scale had negative correlations with PM2.5 ,PM10 ,SO2, NO2, CO concentrations, but no correlation with O3 concentrations. Rainfall was able to lower PM2.5 ,PM10 ,SO2 ,NO2 ,O3 concentrations while had no effect on CO concentrations. （4） Air quality in Wuxi City was worse on weekends than on weekdays. NO2 and SO2 concentrations were lower on weekends than on weekdays while O3 concentrations were higher on weekends than on weekdays,indicating ＂weekend effect＂. PM2.5 and CO concentrations were higher on weekends than on weekdays,not indicating ＂weekend effect＂.