摘要
利用TEOM 1405-F和TEOM 1405颗粒物实时监测仪,研究了2013年12月至2014年5月临平地区PM2.5和PM10质量浓度实时变化特征,并结合气象五参数观测资料,对影响大气颗粒物分布特征的因素进行了分析,研究结果发现：冬季PM2.5和PM10的日均质量浓度明显大于春季,冬季PM2.5日均质量浓度范围为17.0~349.1μg/m3,PM10日均质量浓度范围为18.8~516.9μg/m3,春季PM2.5日均质量浓度范围为20.4~167.6μg/m3,PM10日均质量浓度范围为38.2~243.3μg/m3;通过线性回归分析发现PM2.5和PM10存在较好的线性关系,说明PM10相对固定的受到PM2.5的影响,且污染物来源稳定;冬季PM2.5和PM10日均质量浓度存在三峰值波动状态,而春季PM2.5和PM10日均质量浓度存在双峰值波动状态;较大的风速、较高的气压和降水对于颗粒物的清除效果明显。
The real-time particulate matter monitor devices of TEOM 1405-F and TEOM 1405 was used to monitor the PM2.5 and PM10 mass concentration from December 2013 to May 2014 in Linping district. In addition,the meteorological parameters were also used to analysis the atmosphere pollution characteristics of particulate matters. The analysis results show that the PM2.5and PM10 daily average concentration,which is higher in winter than in spring,the daily average concentration of PM2.5varied from 17. 0 μg / m3 to 349. 1 μg / m3 in winter while daily average concentration varied from 20. 4 μg / m3 to 167. 6 μg / m3 in spring; the daily average concentration of PM10 varied from 18. 8 μg / m3 to 516. 9 μg / m3 in winter while daily average concentration varied from 38. 2 μg / m3 to 243. 3 μg / m3 in spring. There is high level linear correlation between the concentrations of PM2.5and PM10,looks like That PM10 relatively fixed under the influence of PM2.5. There are three peak of fluctuations about the daily average concentration of PM2.5and PM10 in winter while two peak of fluctuations in spring. Besides larger wind speed,the higher air pressure and precipitation is obviously helpful to remove particulate matters.
出处
《环境科学与管理》
CAS
2015年第11期61-65,共5页
Environmental Science and Management
关键词
PM2.5
PM10
污染特征
气象参数
PM2.5
PM10
pollution characteristics
meteorological parameters
