忻州市夏季臭氧来源分析的数值模拟研究

Study on numerical simulation of ozone source analysis in Summer in Xinzhou City

为科学制定O_(3)污染控制政策并减轻忻州市O_(3)污染,采用2018年忻州市空气质量监测国控站点的监测数据,基于WRF-SMOKE-CAMx模型及OSAT模块和CPA模块对O_(3)污染的形成进行数值模拟和来源解析。结果表明:全年中5~8月O_(3)污染最为严重,O_(3)成为首要污染物的天数共计109天,占比为36%;O_(3)月均浓度呈单峰曲线变化,周末的O_(3)浓度高于工作日;外来O_(3)及前体物的区域传输对忻州市O_(3)浓度贡献率为8.86%~35.31%;忻州市移动源贡献率为9.65%~25.68%;忻州市工业源中O_(3)来源贡献最大的行业为电力、热力生产和供应,贡献率为28.25%;忻州市大部分区域O_(3)生成受NO_(X)控制,忻府区、原平市和定襄县中的少部分区域为VOCs控制,VOCs控制区仅占忻州市域面积的0.86%;单纯进行VOCs或NOX减排并不能显著降低O_(3)浓度,两者协同减排时,NOX减排比例高于VOCs更有利于O_(3)浓度的降低。

In order to formulate O_(3) pollution control policies and reduce O_(3) pollution in Xinzhou City,the monitoring data of the air quality in Xinzhou in 2018 from the national control station was used to simulate the formation and analyze the sources of O_(3) pollution,using WRF-Smoke-CAMx model,OSAT module and CPA module.The results indicate that O_(3) pollution is serious from May to August in the whole year.The number of days when O_(3) becomes the primary pollutant is 109,which accounts for36%.The monthly average concentration of O_(3) shows a single-peaked curve,and the concentration of O_(3) on weekends is higher than that on weekdays.The contribution rate of extraneous O_(3) and its precursors to the total O_(3) concentration in Xinzhou City is 8.86%~35.31%,while the contribution rate of mobile sources is 9.65%~25.68%.Among all the industrial sources,the production and supply of power and heat industry has the largest contribution rate which is 28.25%.The formation of O_(3) was controlled by NO_(X)in most areas of Xinzhou City,while by VOCs in a few areas of Xinfu District,Yuanping City and Dingxiang County,which accounts for 0.86%of the area of Xinzhou City.Reducing the emission of VOCs or NO_(X)separately can not significantly decrease the concentration of O_(3).When the emission of VOCs and NO_(X)are reduced simultaneously,it reaches better performance by keeping the reduction ratio of NO_(X)higher than that of VOCs.