【摘要】 以在线监测、例行监测、物料衡算和现场调研等为基础,核算沧州市主城区四大重点企业2017年污染排放源强,采用WRFCALPUFF空气质量模型模拟四大重点企业秋冬季（2017年10月—2017年12月）和一次重污染过程的SO₂、NOx、PM10以及PM_2.5污染贡献情况。以PM_2.5为大气环境质量改善核心进行分析,四大重点企业对控制点秋冬季平均贡献浓度和一次重污染过程最大日均贡献浓度的排序一致,即某化工厂>某炼油厂>某热电厂>某热力厂。其中,秋冬季PM_2.5平均贡献浓度分别占年平均标准的0. 63%、0. 57%、0. 20%和0. 03%,一次重污染过程PM_2.5最大日均贡献浓度分别占日均标准的1. 27%、1. 15%、0. 40%和0. 05%。采取秋冬季应急减排措施,从计算角度,可优先考虑某炼油厂和某化工厂,某热电厂和某热力厂环境影响较小。更多还原

【Abstract】 Based on on-line monitoring,routine monitoring data,material balance and on-site investigation in Cangzhou,the pollution emission of four key industries in urban areas was calculated in 2017. WRF-CALPUFF air quality model was used to simulate the contribution of SO₂,NOx,PM10 and PM_2.5 in autumn and winter（ 2017. 10-2017. 12） and a heavily-polluted process. Considering PM_2.5 as the core of atmospheric environment improvement,the order of average concentration of four key industries in autumn and winter was the same as that the maximum daily average concentration in a heavily-polluted process to control points,a chemical plant > a refinery > a thermal power plant > a heating power plant. The results showed that the average contribution of PM_2.5 in autumn and winter accounted for0. 63%,0. 57%,0. 20% and 0. 03% of the annual average standard values respectively and the maximum daily average concentration of PM_2.5 in a heavily-polluted process accounted for 1. 27%,1. 15%,0. 40% and 0. 05% of the daily average standard values respectively.Taking emergency emission reduction measures in autumn and winter,we can give priority to the refinery and the chemical plant. And the thermal power plant and the thermal power plant have less environmental impact.更多还原