Air quality impacts of emissions from a typical iron and steel plant in Hebei Province during the coronavirus disease (COVID-19)
CHEN Lei1, WANG Peng2, BO Xin3, XUE Xiao-da4, WANG Cheng-xin5, YANG Zhao-xu6, JIA Min7, LIU Jian-you8, YOU Qian9, SANG Min-jie10, DAN Mo11
1. Shaanxi Provincial Academy of Environmental Science, Xi'an 710061, China; 2. College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China; 3. Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China; 4. School of Economics and Management, Beihang University, Beijing 100191, China; 5. College of Architecture and Environment, Sichuan University, Chengdu 610065, China; 6. Zhongke Sanqing Technology Co., LTD, Beijing 100020, China; 7. School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China; 8. Xi'an Jiupai Data Technology Co., LTD, Xi'an 710077, China; 9. School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China; 10. School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China; 11. Beijing Municipal Institute of Labour Protection, Beijing 100054, China
Abstract：Based on the meteorological forecast data from the National Meteorological Bureau, this study developed an AERMOD-based pollution forecasting model for iron and steel plants, simulated air quality impacts of a typical iron and steel plant located in Hebei Province during the controlled period (from February to March in 2020) and the uncontrolled period (from April to October in 2020) of the COVID-19epidemic, and validated the model with real monitoring air quality data. In case of adverse wind direction, the results showed that the average contribution of SO2, NOx and PM10 from the plant to three state-controlled monitoring stations were 20.19~33.81%, 17.49~23.46% and 2.02~2.69% respectively during the controlled period, and 13.43~21.01%, 11.09~20.92% and 1.20~2.22% during the uncontrolled period. The correlation coefficients between the forecast values of SO2, NOx and PM10 emission of the plant and the real monitoring values of the three state-controlled monitoring stations were higher in the controlled period (the highest values are 0.43,0.48 and 0.29, respectively, at individual monitoring station) compared with the uncontrolled period (the highest values are 0.42,0.39 and 0.07, respectively) due to the less interference from other anthropogenic emission sources during the controlled period.
陈雷, 王鹏, 伯鑫, 薛晓达, 王成鑫, 杨朝旭, 贾敏, 刘健佑, 尤倩, 桑敏捷, 淡默. 新冠期间河北省典型钢铁企业大气污染影响[J]. 中国环境科学, 2021, 41(8): 3927-3933.
CHEN Lei, WANG Peng, BO Xin, XUE Xiao-da, WANG Cheng-xin, YANG Zhao-xu, JIA Min, LIU Jian-you, YOU Qian, SANG Min-jie, DAN Mo. Air quality impacts of emissions from a typical iron and steel plant in Hebei Province during the coronavirus disease (COVID-19). CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(8): 3927-3933.
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