摘要
利用郑州市环境监测站自动站点和自选监测站点的大气污染物监测数据,结合气象因子,对郑州市2012-2014年春节期间燃放烟花爆竹对大气气溶胶几种污染物的影响变化进行了分析。结果表明:2012-2013年春节的SO2、NO2、CO、PM2.5和PM10污染高峰出现在初一01-02时和初六00时之后;O3污染高峰则出现在初四和初五。经对2013年2月9日12时(除夕)到2月11日23时(初二)60 h观察,PM10和PM2.5污染高峰出现在初一01时和10时,NO2和SO2的高峰出现在初一01时,CO则出现在次日01时,O3的浓度变化规律则与上述污染物浓度变化呈反向增减的关系。郑州市城区春节期间各种污染物浓度的水平分布总体呈现西、北部污染浓度高,东、南部较低的趋势。各项气象因素对PM2.5和PM10浓度有着直接的影响。无特殊情况下,气温、风速与两种污染物浓度呈反向增减的关系,湿度和气压与两种污染物浓度呈同向增减的关系。
Using the data of atmospheric pollutants of Zhengzhou Environment Monitoring Center and an optional monitoring site, combining with the meteorological factors, the variation of several atmosphere pollutants during the fireworks burning from 2012 to 2014 Spring Festival in Zhengzhou was analyzed and studied. The results showed that during the Spring Festival of 2012-2013, the pollution peaks of SO2, NO2, CO, PM2.5 and PM10 present at 01： 00-02 ： 00 on the first day and after 0：00 on the sixth day; the pollution peak of 03 presents on the fourth day and fifth day of the Spring Festival. We studied the 60 hours data of pollutants （ 12：00 February 9th -23：00 February 11 th, 2013 ） , the pollution peaks of PMI0 and PM2.5 present at 01：00 and 10：00 on the first day, the peaks of NO2 and SO2 present at 01：00 on the first day, while CO present at 01：00 in the next morning. The temporal variation of 03 and other pollu-tants are different, when the 03 increased, the other pollutants decreased, and vice versa. The pollutants concentrations are high in the western and northern, and lower in the eastern and southern of Zhengzhou during the Spring Festival. Meteorological factors have direct impact on PM2.s and PM10 concentrations. Typically, there were negative correlation between air temperature, wind speed and PM2.5, PM10 concen- trations, and positive correlation between humidity, pressure and the concentrations of PM2.5 and PM10.
出处
《气象与环境科学》
2015年第4期12-21,共10页
Meteorological and Environmental Sciences
基金
河南省2008年重点攻关研究课题"河南省重点城市大气气溶胶污染物的研究"(QRJ0623032100)资助
关键词
春节
烟花爆竹
气象因子
污染物浓度
时空分布
Spring Festival
fireworks
meteorological factors
atmospheric pollutants concentrations
temporal and spatial variation
