| 引用本文: | WANG Shu-ying,ZHANG Liang,CUI Xiao-zhe, YIN Cui-fang, LI Peng-shuai.Case Study of Air Quality Impact of Thermal Power Plant Based on Gauss Plume Model[J].Environmental Monitoring and Forewarning,2020,12(4):28~32 |
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| 摘要: |
| 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。 |
| 关键词: 高斯扩散模型 热电厂 污染物 污染贡献 |
| DOI： |
| 分类号:X823 |
| 文献标识码:B |
| 基金项目: |
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| Case Study of Air Quality Impact of Thermal Power Plant Based on Gauss Plume Model |
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WANG Shu-ying,ZHANG Liang,CUI Xiao-zhe, YIN Cui-fang, LI Peng-shuai1,2,3
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1. Beijing LIBOVITO Environmental Technology Company, Beijing, 100085, China;2. Hebei Environmental Emergency and Heavy Pollution Weather Warning Center, Shijiazhuang, Hebei 050051, China;3. CPLA 3302 Factory，Shijiazhuang，Hebei 050051，China
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| Abstract: |
| 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. |
| Key words: Gauss diffusion model Thermal power plant Pollutant Pollution contribution |
