摘要
以PM2.5、PM10、CO、NO_(2)、O_(3)、SO_(2)六项大气污染物数据为基础,通过分析其时间变化特征,探讨了影响唐山市空气质量变化的原因。结果表明:经过不断治理,唐山市2013—2020年空气质量总体向好,ρ(PM2.5)、ρ(PM10)、ρ(SO_(2))、ρ(NO_(2))和ρ(CO)均呈下降趋势,但臭氧问题逐渐凸显;从时间上看,ρ(O_(3))在4—9月较高,可能受到光照和温度等自然条件的影响,其余污染物均在1—3月份和11—12月份较高,可能受冬季采暖期大量使用燃煤和冬季污染气体扩散条件差的影响。
Based on the six air pollutant data of PM2.5,PM10,CO,NO_(2),O_(3) and SO_(2),this paper discusses the reasons for the change of air quality in Tangshan by analyzing their time variation characteristics.The results show that:Through continuous improvement,the air quality of Tangshan has been generally good from 2013 to 2020,ρ(PM2.5)、ρ(PM10)、ρ(SO_(2))、ρ(NO_(2))andρ(CO)showed a downward trend,but the ozone problem was gradually highlighted;In terms of time,ρ(O_(3))is higher from April to September,which may be aff ected by natural conditions such as light and temperature.Other pollutants are higher from January to March and November to December,which may be aff ected by the heavy use of coal in winter heating period and poor diff usion conditions of winter pollution gases.
出处
《化工设计通讯》
CAS
2023年第2期183-185,共3页
Chemical Engineering Design Communications
基金
唐山市大气环境质量限期达标规划项目(Z1302001800151031)。
关键词
污染物特征
时间变化
自然条件
pollutant characteristics
time change
natural condition