High resolution emission inventory and atmospheric environmental impact research in Chinese iron and steel industry
TANG Ling1,2, JIA Min1,3, BO Xin3, XUE Xiao-da2,3, GUO Jing2,3, TIAN Jun4, HUANG Man-tang4, WANG Tong5, CUI Lei6, DONG Guang-xia7
1. School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China;
2. School of Economics and Management, Beihang University, Beijing 100191, China;
3. Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China;
4. Academy of Environmental Planning & Design, Co., Ltd, Nanjing University, Nanjing 210093, China;
5. Shaanxi Environmental Investigation and Assessment Center, Xian 710000, China;
6. Zhongsheng Environmental Technology Development Co., Ltd, Xian 710000, China;
7. China National Environmental Monitoring Centre, Beijing 100012, China
In this study, a high-resolution steelmaking plants emission inventory for China (HSEC, 2018) was established to quantitatively simulate the environmental impact of various atmospheric pollutants emitted by Chinese iron and steel plants in 2018 and in the future years. The results showed that in 2018, the total emissions of SO2, NOx, PM10, PM2.5, PCDD/Fs, VOCs, CO, BC, OC, EC and fluoride were 290.2kt, 665.7kt, 287.3kt, 116.9kt, 2.24kg, 892.1kt, 40,574.9kt, 4.5kt, 6.1kt, 0.6kt and 8.8kt, respectively. Coking, sintering, pelletizing and blast furnace are the primary emission sources in Chinese iron and steel industry. Furthermore, Chinese iron and steel industry contributed 2.85%, 3.37% and 1.54%, respectively, to the average annual concentrations of SO2, NOx and PM2.5 in each province. In the future situation, the emissions of SO2, NOx and PM10 from China's iron and steel plants will be 49.4kt, 75.8kt and 41.1kt respectively, decreasing by 82.98%, 88.61% and 85.69%, respectively. The corresponding contributions of Chinese iron and steel industry to the annual average concentration of SO2, NOx and PM2.5 in each province will be 0.31%, 0.22% and 0.02% in this case, respectively.
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