摘要
基于山西省2018—2020年国控点位O_(3)监测数据分析了全省O_(3)污染特征,分别以晋城市和太原市为典型城市,分析了温度、相对湿度和风向风速等气象因子以及前体物(NO_(x)和VOCs)对O_(3)的影响,并采用CAMx模式开展2020年6—8月山西省O_(3)区域和行业来源解析.结果表明:①山西省O_(3)超标天数中以O_(3)轻度污染为主,且中度及以上污染呈增加趋势,O_(3)污染集中出现在5—9月,且呈现较强的地域性特征,O_(3)浓度日变化呈单峰型特征.②ρ(O_(3-1 h))(臭氧1 h平均浓度)与气温、风速均呈正相关,与相对湿度呈负相关,高温、低湿有利于O_(3)的生成.风速与ρ(O_(3-1 h))呈分段式线性关系,ρ(O_(3-1 h))随着风速增大而升高,当风速大于某一阈值时,ρ(O_(3-1 h))随风速的增加而下降.以典型城市晋城市为例,当温度在25℃以上、相对湿度在30%~60%之间、风速为4~5 m/s,且风向为南风和东南风时更容易出现ρ(O_(3-1 h))高值.③山西省2020年6—8月O_(3)区域来源解析表明,各城市O_(3)本地源贡献较弱而传输贡献影响显著(>80%).④山西省2020年6—8月O_(3)行业来源解析表明,各市工业源类(电力源、焦化源和其他工业源)的贡献率在50%左右,柴油交通源贡献率在20%~27%之间.研究显示,山西省O_(3)污染传输贡献影响显著,联防联控势在必行,电力源、焦化源和柴油交通源对O_(3)生成贡献较大,亟需优先加强管控.
The pollution characteristics of ground-level ozone was studied based on the O_(3) concentration data of the national controlled points in Shanxi Province from 2018 to 2020,by analyzing the meteorological factors,including temperature,relative humidity,wind direction,wind speed,and its precursors(NO_(x) and VOCs)that affect the pollution characteristics of O_(3) concentration.Source apportionment of regional and industrial transmission in Shanxi Province from June to August 2020 was performed by the CAMx model.The results showed that the O_(3) pollution in Shanxi Province was mainly light pollution,and O_(3) pollution became worse in Shanxi Province.The diurnal variation of O_(3) showed a‘single peak’pattern,and the monthly variation occurred with geographical characteristics from May to September.ρ(O_(3-1 h))was positively correlated with temperature and wind speed,but negatively correlated with relative humidity.High temperature and low humidity meteorological conditions were more likely to promote atmospheric O_(3) formation.A piecewise linear relationship between wind speed andρ(O_(3-1 h))was observed.ρ(O_(3-1 h))increased with the increase in wind speed.However,when the wind speed threshold was exceeded,ρ(O_(3-1 h))decreased with the increase in wind speed.Taking Jincheng City as an example,highρ(O_(3-1 h))was more likely to occur when the temperature was higher than 25℃,the humidity was between 30%-60%,the wind speed was between 4-5 m/s and the wind direction was south and southeast.The results of the regional transport matrix of ground-level O_(3) from June to August in 2020 showed that transport source had great influence on O_(3) pollution,with a contribution rate of more than 80%,and the contribution of local sources was small.Similarly,during the simulation period,industrial sources including electric power,coking and other industrial sources contributed the most to the generation of O_(3),accounting for about 50%,followed by diesel transportation sources,accounting for 20%-27%.This research shows that transport sources had great influence on O_(3) pollution,and the regional joint prevention and control measures should be taken.It is proposed that controlling the emissions of VOCs from electric power,coking and diesel transportation would be more effective for reducing O_(3) pollution.
作者
焦姣
罗锦洪
杨锦锦
王娜
谢卧龙
JIAO Jiao;LUO Jinhong;YANG Jinjin;WANG Na;XIE Wolong(Shanxi Consulting Service Center for Eco-Environmental Protection,Taiyuan 030002,China)
出处
《环境科学研究》
CAS
CSCD
北大核心
2022年第3期731-739,共9页
Research of Environmental Sciences
基金
国家重点研发计划项目(No.2019YFC0214200)。
