新冠期间河北省典型钢铁企业大气污染影响

基于国家气象局气象预报数据，建立了基于AERMOD的钢铁企业污染预报模型，模拟了新冠疫情管控期（2020年2~3月）及解封后期（2020年4~10月）河北省某钢铁企业对大气污染的影响，并结合空气质量实测数据进行模型验证.结果显示，不利风向条件下，该钢铁厂大气污染物排放对当地3个国控站点SO₂、NO_x和PM₁₀的平均浓度贡献占比，在疫情管控期分别为20.19%~33.81%，17.49%~23.46%和2.02%~2.69%，在解封后期分别为13.43%~21.01%，11.09%~20.92%和1.20%~2.22%.由于疫情管控期受其他人为源干扰较少，该钢铁厂SO₂、NO_x和PM₁₀的预报值和三个国控站点实际监测值的相关系数，在新冠疫情管控期（在单个站点中，最高分别为0.43、0.48和0.29）高于解封后期（最高分别为0.42、0.39和0.07）.

Air quality impacts of emissions from a typical iron and steel plant in Hebei Province during the coronavirus disease (COVID-19)

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, NO_x 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, NO_x 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.