中文关键词钢铁行业双层嵌套气象-空气质量模型系统(WRF-CAMx)排放清单PM_2.5排放特征 英文关键词iron and steel industryWRF-CAMxemission inventoryPM_2.5emission characteristics

作者	单位	E-mail
段文娇	北京工业大学环境与能源工程学院, 区域大气复合污染防治北京市重点实验室, 北京 100124	wjduan@emails.bjut.edu.cn
郎建垒	北京工业大学环境与能源工程学院, 区域大气复合污染防治北京市重点实验室, 北京 100124
程水源	北京工业大学环境与能源工程学院, 区域大气复合污染防治北京市重点实验室, 北京 100124	chengsy@bjut.edu.cn
贾佳	北京工业大学环境与能源工程学院, 区域大气复合污染防治北京市重点实验室, 北京 100124
王晓琦	北京工业大学环境与能源工程学院, 区域大气复合污染防治北京市重点实验室, 北京 100124

中文摘要 以京津冀地区为研究区域，采取自下而上的方法，建立京津冀地区钢铁行业细化至焦化、烧结和球团、炼铁、炼钢、轧钢等工序的多污染物排放清单.清单估算结果显示，2015年京津冀地区钢铁行业SO₂、NO_x、TSP、PM₁₀、PM_2.5、CO、VOC的排放量分别为38.82、27.23、79.19、53.15、38.68、823.38、26.53万t，其中烧结和球团工序是最主要的污染物排放工序（17.0%~72.0%），其次为炼铁工序（4.6%~42.4%）和轧钢工序（3.5%~35.7%）.采用具有污染物来源示踪功能的双层嵌套气象-空气质量模型系统（WRF-CAMx）耦合模型模拟京津冀地区钢铁行业污染物排放对区域大气PM_2.5浓度的影响.模拟结果显示：钢铁行业在春夏秋冬这4个季节对京津冀地区PM_2.5浓度贡献率分别达到14.0%、15.9%、12.3%、8.7%.各地市中，钢铁行业对唐山市PM_2.5影响最大，年均PM_2.5浓度贡献率高达41.2%，其次为秦皇岛市、石家庄市、邯郸市，年均PM_2.5浓度贡献率分别达到19.3%、15.3%、15.1%. 英文摘要 The iron and steel industry, which discharges a large amount of pollutants including SO₂, NO_x, and PM_2.5, is the main source of atmospheric pollution in the Beijing-Tianjin-Hebei region. Based on the bottom-up method, a high temporal and spatial resolution emission inventory of the iron and steel industry in the Beijing-Tianjin-Hebei region was developed, which took into account the multiple air pollutants released during coking, sintering, pelletizing, ironmaking, steelmaking, and the steel rolling process. As the emission inventory showed, the total emissions of SO₂, NO_x, TSP, PM₁₀, PM_2.5, CO, and VOC from the iron and steel industry in the Beijing-Tianjin-Hebei region in 2015 were 388.2, 272.3, 791.9, 531.5, 386.8, 8233.8, and 265.3 kilotons, respectively, among which, sintering and pelletizing were the two processes discharging the most pollutants (17.0%-72.0%), followed by the ironmaking process (4.6%-42.4%) and the steel rolling process (3.5%-35.7%); the iron and steel industry in Tangshan discharged the most pollutants (39.1%-63.5%) among those in all the 13 cities. The impact of the iron and steel industry on the regional PM_2.5 concentration was simulated by a two-layer nested meteorology-air quality coupling model system (WRF-CMAx) with Particulate Source Apportionment Technology (PSAT). The simulation results showed that the iron and steel industry contributed 14.0%, 15.9%, 12.3%, and 8.7% of the PM_2.5 concentrations of the Beijing-Tianjin-Hebei region in spring, summer, autumn, and winter, respectively, and that the iron and steel industry had the most significant impact on the PM_2.5 concentrations in Tangshan among all the 13 cities, with a contribution rate up to 41.2%, followed by those in Qinhuangdao, Shijiazhuang, and Handan, with contributions of 19.3%, 15.3%, and 15.1%, respectively. The iron and steel industry has an important impact on the PM_2.5 concentration of the Beijing-Tianjin-Hebei region to which the government should pay more attention, and take more effective control measures to address this problem.

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