Spatial and temporal dynamics of air-pollutant emission inventory of steel industry in China: A bottom-up approach

被引:44
|
作者
Gao, Chengkang [1 ]
Ga, Wengang [1 ]
Song, Kaihui [2 ]
Na, Hongming [1 ]
Tian, Fan [1 ]
Zhang, Shuaibing [1 ]
机构
[1] Northeastern Univ, Sch Met, SEP Key Lab Ecoind, Shenyang 110819, Liaoning, Peoples R China
[2] Univ Maryland, Dept Geog Sci, College Pk, MD 20740 USA
基金
中国国家自然科学基金;
关键词
Steel industry; Air pollutants; Emission inventory; Spatiotemporal characteristics; COMBUSTION; TRENDS;
D O I
10.1016/j.resconrec.2018.12.032
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As one of the energy-intensive and high-polluted industries, steel industry is facing great challenges of energy saving and emission reduction. In this study, a bottom-up approach is used to build the inventory of air pollutants in China's steel industry. We analyzed the temporal and spatial characteristics of the atmospheric emission inventory of China's steel industry. The results show that: (1) In 2015, the total amount of SO2, NOx, PM, PM2.5, PM10 and PCDD/Fs emissions from Chinese steel industry were 1697.58kt, 1017.24kt, 4028.01kt, 849.02kt, 1330.53kt and 1216.83g I-TEQ, respectively. SO2, NOx, PM, PM10 and PCDD/Fs emissions mainly came from the sintering process, and PM2.5 came from the converter process. (2) NOx emissions show an "upward" trend, while SO2 emissions depict a "slowdown" trend. PM, PM2.5, PM10 and PCDD/Fs emissions present inverse U-shape trends. (3) The air pollutant inventory of Chinese steel industry indicates obviously spatial characteristics. Taking SO2 emissions in 2015 as an example, SO2 emissions from steel industry in North China and East China reached 1006.63kt, accounting for 65.2% of the total emissions. Hebei, Jiangsu and Shandong provinces where locate intensive traditional steel enterprises with majority of steel products generated SO2 emissions of approximately 404.04kt, 171.83kt and 156.28kt respectively, accounting for 23.80%, 10.12% and 9.20% total emissions of China's steel industry. (4) The simulation model of air pollutants (SO2, PM) was established taking adjusted production capacity and layout of steel industry into consideration, the simulation suggests that SO2 and PM emissions are projected to decrease by 1Mt, 2 Mt, respectively.
引用
收藏
页码:184 / 200
页数:17
相关论文
共 38 条
  • [1] A high temporal-spatial resolution air pollutant emission inventory for agricultural machinery in China
    Lang, Jianlei
    Tian, Jingjing
    Zhou, Ying
    Li, Kanghong
    Chen, Dongsheng
    Huang, Qing
    Xing, Xiaofan
    Zhang, Yanyun
    Cheng, Shuiyuan
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 183 : 1110 - 1121
  • [2] Improvement China Point Source for Improving Bottom-Up Emission Inventory
    Jang, Youjung
    Lee, Yungu
    Kim, Jinseok
    Kim, Younha
    Woo, Jung-Hun
    [J]. ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2020, 56 (01) : 107 - 118
  • [3] Improvement China Point Source for Improving Bottom-Up Emission Inventory
    Youjung Jang
    Yungu Lee
    Jinseok Kim
    Younha Kim
    Jung-Hun Woo
    [J]. Asia-Pacific Journal of Atmospheric Sciences, 2020, 56 : 107 - 118
  • [4] A regression approach for estimation of anthropogenic heat flux based on a bottom-up air pollutant emission database
    Lee, Sang-Hyun
    McKeen, Stuart A.
    Sailor, David J.
    [J]. ATMOSPHERIC ENVIRONMENT, 2014, 95 : 629 - 633
  • [5] Quantifying the uncertainties of a bottom-up emission inventory of anthropogenic atmospheric pollutants in China
    Zhao, Y.
    Nielsen, C. P.
    Lei, Y.
    McElroy, M. B.
    Hao, J.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2011, 11 (05) : 2295 - 2308
  • [6] A comprehensive emission inventory of multiple air pollutants from iron and steel industry in China: Temporal trends and spatial variation characteristics
    Wang, Kun
    Tian, Hezhong
    Hua, Shenbing
    Zhu, Chuanyong
    Gao, Jiajia
    Xue, Yifeng
    Hao, Jiming
    Wang, Yong
    Zhou, Junrui
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2016, 559 : 7 - 14
  • [7] Spatial Analysis of the Ship Gas Emission Inventory in the Port of Busan Using Bottom-Up Approach Based on AIS Data
    Woo, Donghan
    Im, Namkyun
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (12)
  • [8] Bottom-Up Approach Ship Emission Inventory in Port of Incheon Based on VTS Data
    Lee, Hyangsook
    Pham, Hoang T.
    Chen, Maowei
    Choo, Sangho
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2021, 2021
  • [9] A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment
    Zheng, Junyu
    Zhang, Lijun
    Che, Wenwei
    Zheng, Zhuoyun
    Yin, Shasha
    [J]. ATMOSPHERIC ENVIRONMENT, 2009, 43 (32) : 5112 - 5122
  • [10] Temporal Trends and Spatial Variation Characteristics of Hazardous Air Pollutant Emission Inventory from Municipal Solid Waste Incineration in China
    Tian, Hezhong
    Gao, Jiajia
    Lu, Long
    Zhao, Dan
    Cheng, Ke
    Qiu, Peipei
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2012, 46 (18) : 10364 - 10371