%0 Journal Article %T 基于高斯烟羽模型的热电厂对空气质量影响案例分析 %T Case Study of Air Quality Impact of Thermal Power Plant Based on Gauss Plume Model %A 王淑莹1 %A 张良2* %A 崔晓哲3,尹翠芳1 %A 李鹏帅1 %A WANG,Shu ying %A ZHANG,Liang %A CUI,Xiao zhe %A YIN,Cui fang %A LI,Peng shuai %J 环境监控与预警 %@ 1674-6732 %V 12 %N 4 %D 2020 %P 28-32 %K 高斯扩散模型;热电厂;污染物;污染贡献 %K Gauss diffusion model; Thermal power plant; Pollutant;Pollution contribution %X 基于高斯烟羽模型的输入频率分布模型(IFDM)系统,模拟了2019年4—6月河北省南部平原地区某热电厂对临近2个省控监测站点空气质量的贡献。结果表明,该热电厂4—6月对2个省控监测站点NO2、SO2、PM10、PM2.5的平均贡献值分别为2.0,3.2和4.4 μg/m3,1.9,3.1和3.5μg/m3,0.45,0.7和0.85 g/m3,0.25,0.45和0.55 μg/m3。6月份该热电厂对2个省控监测站点各项污染物贡献值最大,与其西南风出现频率较高相吻合。 %X Based on Gauss plume model, the contribution of a power plant in the southern plain of Hebei Province to the air quality of nearby monitoring stations was simulated during the period of April to June, 2019. The results showed that the average contribution concentration of NO2 to the provincial controlled stations in April, May and June were 2.0, 3.2 and 4.4 μg/m3 respectively; the average contribution concentration of SO2 were 1.9, 3.1 and 3.5 μg/m3, the average contribution concentration of PM10 were 0.45, 0.7and 0.85 μg/m3; and the average contribution concentrations of PM2.5 were 0.25, 0.45 and 0.55 μg/m3 respectively. In June, the thermal power plant contributed the most to the pollutants at stations S1 and S2, which coincided with the high frequency of southwester in June. %R %U http://www.hjjkyyj.com/hjjkyyj/ch/reader/view_abstract.aspx %1 JIS Version 3.0.0