摘要
以2019~2021年永泰县环境空气自动站监测数据为基础,运用Excel、Origin、SPSS等软件分析了臭氧(O_(3))时空分布特征,O_(3)与气象要素、O_(3)前体物(CO、NO_(2))相关性,并结合Hysplit模型对O_(3)超标事件进行了分析。结果表明:①2019~2021年O_(3)浓度变化趋势明显向好;月O_(3)浓度受气象条件、排放源、外来输入等影响,各年份间最高值与最低值出现的时间不同;日变化呈单峰型;②各站点O_(3)浓度除2020年青云山站略低于城南小学站外,总体上浓度大小为:青云山站>城南小学站>上马路站;③O_(3)与气压、CO、NO_(2)相关性不明显,与气温、日照、风速呈正相关,与降水、相对湿度呈负相关,高值出现在风向为东南或南期间;④上马路站超标原因主要为当地生成累积导致。同时从提升监测能力、实施VOCS和NO_(X)专项整治行动、强化联防联控等方面,为永泰县O_(3)治理提出了建议。
Based on the monitoring data of the ambient air automatic station in Yongtai County from 2019 to 2021,Excel,Origin,SPSS and other software were used to analyze the temporal and spatial distribution characteristics of ozone(O_(3)),the correlation between O_(3)and meteorological elements,O_(3)precursors(CO and NO_(2)),and the analysis of O_(3)exceedance events combined with Hysplit model.The results show that:①From 2019 to 2021,the change trend of O_(3)concentration is obviously better;The monthly O_(3)concentration is affected by meteorological conditions,emission sources,external inputs,etc.The time when the highest and lowest values appear is different in each year;The diurnal variation was unimodal;②Except that the concentration of O_(3)in Qingyunshan Station is slightly lower than that in Chengnan Primary School Station in 2020,the overall concentration of O_(3)at each station is:Qingyunshan Station>Chengnan Primary School Station>Shangma Road Station;③O_(3) is not significantly correlated with air pressure,CO and NO_(2).O_(3)is positively correlated with air temperature,sunshine and wind speed.O_(3)is negatively correlated with precipitation and relative humidity.The high value occurs when the wind direction is southeast or south;④The reason for exceeding the standard at Shangma Road Station is mainly due to local accumulation.At the same time,suggestions are put forward for the governance of O_(3)in Yongtai County from the aspects of improving monitoring capacity,implementing VOCS and NO_(X) special rectification actions,and strengthening joint prevention and control.
作者
邱黎清
Qiu Liqing(Fuzhou Yongtai Environmental Monitoring Station,Fuzhou,Fujian 350000,China)
出处
《绿色科技》
2022年第22期175-180,共6页
Journal of Green Science and Technology
