新冠期间河北省典型钢铁企业大气污染影响  

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

作　　者：陈雷 王鹏[2] 伯鑫 薛晓达 王成鑫 杨朝旭 贾敏 刘健佑 尤倩 桑敏捷 淡默[11] 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(Shaanxi Provincial Academy of Environmental Science,Xi’an 710061,China;College of Mathematics and Physics,Beijing University of Chemical Technology,Beijing 100029,China;Appraisal Center for Environment and Engineering,Ministry of Ecology and Environment,Beijing 100012,China;School of Economics and Management,Beihang University,Beijing 100191,China;College of Architecture and Environment,Sichuan University,Chengdu 610065,China;Zhongke Sanqing Technology Co.,LTD,Beijing 100020,China;School of Economics and Management,Beijing University of Chemical Technology,Beijing 100029,China;Xi’an Jiupai Data Technology Co.,LTD,Xi’an 710077,China;School of Management and Engineering,Capital University of Economics and Business,Beijing 100070,China;School of Environmental Science and Engineering,Hebei University of Science and Technology,Shijiazhuang 050018,China;Beijing Municipal Institute of Labour Protection,Beijing 100054,China)

机构地区：[1]陕西省环境科学研究院,陕西西安710061 [2]北京化工大学数理学院,北京100029 [3]生态环境部环境工程评估中心,北京100012 [4]北京航空航天大学经济管理学院,北京100191 [5]四川大学建筑与环境学院,四川成都610065 [6]中科三清科技有限公司,北京100020 [7]北京化工大学经济管理学院,北京100029 [8]西安九派数据科技有限公司,陕西西安710077 [9]首都经济贸易大学管理工程学院,北京100070 [10]河北科技大学环境科学与工程学院,河北石家庄050018 [11]北京市劳动保护科学研究所,北京100054

出　　处：《中国环境科学》2021年第8期3927-3933,共7页China Environmental Science

基　　金：国家重点研发计划项目(2016YFC0208101,2019YFE0194500);大气重污染成因与治理攻关项目(DQGG0209-07,DQGG0304-07);国家自然科学基金资助项目(71673107);欧盟地平线2020项目(870301)。

摘　　要：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SO_(2)、NO_(x)和PM_(10)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SO_(2)、NO_(x)和PM_(10)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).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-19 epidemic,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 SO_(2),NO_(x) and PM_(10) 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.

关 键 词：AERMOD 企业污染预报 新冠 钢厂 

分 类 号：X51[环境科学与工程—环境工程]