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基于高斯烟羽模型的火电厂对空气质量影响案例研究
王淑莹
北京立博威拓环境技术有限公司
摘要:
IFDM系统在高斯烟羽模型的基础上,对线源和面源进行相应的处理,并可以耦合区域尺度模型,这样集成的模拟系统不仅可以模拟局地尺度所有污染源的扩散情况,同时还可以对局地的污染来源进行解析。燃煤火力发电厂是造成大气污染的重要贡献源之一。本研究利用基于高斯烟羽扩散模型IFDM系统,模拟了2019年4-6月河北省南部平原地区某发电厂对临近监测站点空气质量的贡献。结果发现:该热电厂4月、5月和6月对该县省控站点NO2的平均贡献浓度分别为:1.9μg/m3、3.1μg/m3和4.3μg/m3;对SO2的平均贡献浓度分别为:1.9μg/m3、3.0μg/m3和3.4μg/m3;对PM10的平均贡献浓度分别为:0.45μg/m3、0.7μg/m3和0.85μg/m3;对PM2.5的平均贡献浓度分别为:0.25μg/m3、0.45μg/m3 和0.55μg/m3。 6月份该热电厂对S1站点和S2站点各项污染物贡献浓度最大,这与6月份西南风出现频率较高相吻合。本研究可为其他地区评估火电厂对空气质量影响提供参考和借鉴。
关键词:  高斯扩散模型  热电厂  污染贡献
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Case Study of Air Quality Impact of Thermal Power Plant Based on Dual Gauss Plume Model
Abstract:
Based on the Dual Gauss plume model, the IFDM model can deal with the line source and non-point source, and can couple the regional scale model. This integrated simulation system can not only simulate the diffusion of all pollution sources at the local scale, but also analyse the local pollution sources. Coal-fired thermal power plants are one of the important sources of air pollution. In this study, the contribution of a power plant in the southern plain of Hebei Province to the air quality of nearby monitoring stations was simulated by using the double Gaussian plume diffusion model IFDM. The results showed that the average contribution concentration of NO2 to the provincial control stations in April, May and June were 1.9μg/m3, 3.1μg/m3 and 4.3μg/m3 respectively; the average contribution concentration of SO2 were 1.9μg/m3, 3.0μg/m3 and 3.4μg/m3, the average contribution concentration of PM10 were 0.45μg/m3, 0.7μg/m3 and 0.85 μg/m3; and the average contribution concentrations of PM2.5 were 0.25 μg/m3, 0.45 μg/m3 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 southwesterly wind in June. This study can provide reference for other areas to evaluate the impact of thermal power plants on air quality.
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