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中国钢铁行业大气环境影响
引用本文:汤铃,薛晓达,伯鑫,贾敏,郭静,田军,黄满堂,崔维庚,王彤,李时蓓,敬红,甄瑞卿,孙露,成国庆.中国钢铁行业大气环境影响[J].环境科学,2020,41(7):2981-2994.
作者姓名:汤铃  薛晓达  伯鑫  贾敏  郭静  田军  黄满堂  崔维庚  王彤  李时蓓  敬红  甄瑞卿  孙露  成国庆
作者单位:北京航空航天大学经济管理学院, 北京 100191;北京化工大学经济管理学院, 北京 100029,北京航空航天大学经济管理学院, 北京 100191;生态环境部环境工程评估中心, 北京 100012,生态环境部环境工程评估中心, 北京 100012,北京化工大学经济管理学院, 北京 100029;生态环境部环境工程评估中心, 北京 100012,北京航空航天大学经济管理学院, 北京 100191;生态环境部环境工程评估中心, 北京 100012,南京大学环境规划设计研究院股份公司, 南京 210093,南京大学环境规划设计研究院股份公司, 南京 210093,长安大学地球科学与资源学院,西安 710054,陕西省环境调查评估中心, 西安 710000,生态环境部环境工程评估中心, 北京 100012,中国环境监测总站, 北京 100012,中冶京诚工程技术有限公司, 北京 100176,日本国立环境研究所, 社会环境研究中心, 日本茨城县 305-8506,河北正润环境科技有限公司, 石家庄 050091
基金项目:国家重点实验室开放基金项目(16K01ESPCT);国家重点研发计划项目(2016YFC0208101,2017YFC0210300);大气重污染成因与治理攻关项目(DQGG0209-07,DQGG0304-07);生态环境部环境工程评估中心创新科研项目(2019-10);国家自然科学基金项目(71971007,71622011)
摘    要:本研究基于2015年在线监测等数据,分析中国钢铁行业主要工序(烧结和球团)排口烟气浓度情况,自下而上建立了2015年中国高时空分辨率钢铁行业大气污染物排放清单(HSEC, 2015),使用CAMx模型,定量模拟钢铁行业排放对区域大气污染物浓度贡献.结果表明, 2015年中国钢铁行业共排放SO_2、NO_x、PM_(10)、PM_(2.5)、PCDD/Fs、VOCs、CO、BC、OC、EC和F分别为37.48万t、 72.05万t、 33.48万t、 15.03万t、 1.91 kg、 84.29万t、 3 478.85万t、 0.64万t、 0.83万t、 0.08万t和0.77万t.从区域角度:上海和天津钢铁行业单位面积污染排放强度最大,对区域大气污染贡献比例较高.从工序角度:2015年烧结和球团烟气排口月平均浓度降低.从污染物角度:2015年钢铁行业排放NO_x对区域污染物浓度贡献最大,NO_x具有较大的减排潜力.

关 键 词:排放清单  钢铁  大气污染  CAMx模型  排放因子
收稿时间:2019/12/20 0:00:00
修稿时间:2020/2/11 0:00:00

Contribution of Emissions from the Iron and Steel Industry to Air Quality in China
TANG Ling,XUE Xiao-d,BO Xin,JIA Min,GUO Jing,TIAN Jun,HUANG Man-tang,CUI Wei-geng,WANG Tong,LI Shi-bei,JING Hong,ZHEN Rui-qing,SUN Lu,CHENG Guo-qing.Contribution of Emissions from the Iron and Steel Industry to Air Quality in China[J].Chinese Journal of Environmental Science,2020,41(7):2981-2994.
Authors:TANG Ling  XUE Xiao-d  BO Xin  JIA Min  GUO Jing  TIAN Jun  HUANG Man-tang  CUI Wei-geng  WANG Tong  LI Shi-bei  JING Hong  ZHEN Rui-qing  SUN Lu  CHENG Guo-qing
Institution:School of Economics and Management, Beihang University, Beijing 100191, China;School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China;School of Economics and Management, Beihang University, Beijing 100191, China;Appraisal Centre for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China;School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China;Appraisal Centre for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China;Academy of Environmental Planning & Design, Co., Ltd., Nanjing University, Nanjing 210093, China;School of Earth Sciences and Resources, Chang''an University, Xi''an 710054, China;Shaanxi Environmental Investigation and Assessment Center, Xi''an 710000, China;China National Environmental Monitoring Centre, Beijing 100012, China;MCC Capital Engineering & Research Incorporation Limited, Beijing 100176, China;Center for Social and Environmental Systems Research, National Institute for Environmental Studies, Ibaraki 305-8506, Japan; Hebei Zhengrun Environmental Technology Co., Ltd., Shijiazhuang 050091, China
Abstract:Based on the data from a continuous emission monitoring systems network in 2015, this study analyzed the compliance rates of exhaust gas in the processes of China''s iron and steel industry, and established a high-resolution steel plant emission inventory for China (HSEC, 2015), based on the bottom-up method. The contribution of emissions from the iron and steel industry to regional air quality was quantitatively simulated using a CAMx model. The results showed that in 2015, the total emissions of SO2, NOx, PM10, PM2.5, PCDD/Fs, VOCs, CO, BC, OC, EC, and F were 374800 t, 720500 t, 334800 t, 150300 t, 1.91 kg, 842900 t, 34788500 t, 6400 t, 8300 t, 800 t, and 7700 t, respectively. From a regional perspective, the iron and steel industry in Shanghai and Tianjin has the highest emission intensity per unit area and contributes a high proportion to regional air pollution. From a process perspective, in 2015, the exhaust concentration of flue gas in the main process gradually decreased, with a high compliance rate, and the emission factor significantly decreased to lower than that in the existing research results. From a species perspective, in 2015, NOx emission from the steel industry contributed the most to regional air quality, and there is therefore a great emission reduction potential for NOx.
Keywords:emission inventory  iron and steel  air pollution  CAMx model  emission factor
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