陈晓春, 李建晖, 尤倩, 陈少博, 陈晓辉, 伯鑫(通讯作者). “钢铁超低与低碳发展”专辑+山东省独立焦化行业大气环境影响研究[J]. 工程科学学报. DOI: 10.13374/j.issn2095-9389.2023.07.31.001
引用本文: 陈晓春, 李建晖, 尤倩, 陈少博, 陈晓辉, 伯鑫(通讯作者). “钢铁超低与低碳发展”专辑+山东省独立焦化行业大气环境影响研究[J]. 工程科学学报. DOI: 10.13374/j.issn2095-9389.2023.07.31.001
Air quality impacts of independent coking industry emissions in Shandong Province[J]. Chinese Journal of Engineering. DOI: 10.13374/j.issn2095-9389.2023.07.31.001
Citation: Air quality impacts of independent coking industry emissions in Shandong Province[J]. Chinese Journal of Engineering. DOI: 10.13374/j.issn2095-9389.2023.07.31.001

“钢铁超低与低碳发展”专辑+山东省独立焦化行业大气环境影响研究

Air quality impacts of independent coking industry emissions in Shandong Province

  • 摘要: 基于2018年山东省独立焦化行业排放清单,设置了基准情景(BAU-2018、BAU-2025)和减排优化情景(ERO-2018、ERO-2025),分别分析了各情景PM10、SO2、NOx、PM2.5和CO2的减排潜力。使用CALPUFF模型模拟了各情景下山东省独立焦化行业SO2、NOx、PM10及PM2.5的污染情况。结果显示,ERO-2025情景较于BAU-2018,PM10、SO2、NOx、PM2.5和CO2的排放量分别为减少了68.76%、50.03%、72.73%、67.67%和21.65%; SO2、NOx、PM10和PM2.5年均贡献浓度降幅分别为50.81%、73.14%、68.67%和68.09%。全面执行超低排放标准对污染物减排效果十分显著,污染物与CO2的协同减排潜力巨大。

     

    Abstract: Based on the emission inventory of independent coking industry in Shandong Province in 2018, Business As Usual scenario (BAU-2018, BAU-2025) and Emission Reduction Optimization scenario (ERO-2018, ERO-2025) were set up, and PM10, SO2, NOx, PM2.5, CO2 emission reduction potential were analyzed respectively. The CALPUFF model was used to simulate the pollution of SO2, NOx, PM10 and PM2.5 in the independent coking industry in Shandong Province under different scenarios. The results showed that in the ERO-2025 scenario, the emissions of PM10, SO2, NOx, PM2.5 and CO2 would be reduced by 68.76%, 50.03%, 72.73%, 67.67% and 21.65%, respectively, compared with that of BAU-2018. The average contribution concentration of SO2, NOx, PM10 and PM2.5 decreased by 50.81%, 73.14%, 68.67% and 68.09%, respectively. The full implementation of ultra-low emission standards has a significant effect on pollutant emission reduction, and the collaborative emission reduction potential of pollutants and CO2 is huge.

     

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