Improving the Air Quality Management: The Air Pollutant and Carbon Emission and Air Quality Model for Air Pollutant and Carbon Emission Reduction in the Iron and Steel Industries of Tangshan, Hebei Province, China

被引:2
|
作者
Chen, Shaobo [1 ,2 ]
Li, Jianhui [1 ,2 ]
You, Qian [3 ]
Wang, Zhaotong [1 ,2 ]
Shan, Wanyue [1 ,2 ]
Bo, Xin [1 ,2 ]
Zhu, Rongjie [4 ]
机构
[1] Beijing Univ Chem Technol, Coll Chem Engn, Beijing 100029, Peoples R China
[2] BUCT Inst Carbon Neutral Chinese Ind, Beijing 100029, Peoples R China
[3] Capital Univ Econ & Business, Sch Management & Engn, Beijing 100070, Peoples R China
[4] Housing & Urban Rural Dev Bur Guangling Dist, Yangzhou 225000, Peoples R China
基金
中国国家自然科学基金;
关键词
air pollutant; carbon; emission inventory; iron and steel industry; model; Tangshan; INVENTORY; SO2; TIANJIN; PLANTS; IMPACT; NOX;
D O I
10.3390/atmos14121747
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Currently, Tangshan confronts the dual challenge of elevated carbon emissions and substantial pollution discharge from the iron and steel industries (ISIs). While significant efforts have been made to mitigate air pollutants and carbon emissions within the ISIs, there remains a gap in comprehending the control of carbon emissions, air pollutant emissions, and their contributions to air pollutant concentrations at the enterprise level. In this study, we devised the Air Pollutant and Carbon Emission and Air Quality (ACEA) model to identify enterprises with noteworthy air pollution and carbon emissions, as well as substantial contributions to air pollutant concentrations. We constructed a detailed inventory of air pollutants and CO2 emissions from the iron and steel industry in Tangshan for the year 2019. The findings reveal that in 2019, Tangshan emitted 5.75 x 104 t of SO2, 13.47 x 104 t of NOx, 3.55 x 104 t of PM10, 1.80 x 104 t of PM2.5, 5.79 x 106 t of CO and 219.62 Mt of CO2. The ACEA model effectively pinpointed key links between ISI enterprises emitting air pollutants and carbon dioxide, notably in pre-iron-making processes (coking, sintering, pelletizing) and the Blast furnace. By utilizing the developed air pollutant emission inventory, the CALPUFF model assessed the impact of ISI enterprises on air quality in the Tangshan region. Subsequently, we graded the performance of air pollutant and CO2 emissions following established criteria. The ACEA model successfully identified eight enterprises with significant air pollution and carbon emissions, exerting notable influence on air pollutant concentrations. Furthermore, the ACEA outcomes offer the potential for enhancing regional air quality in Tangshan and provide a scientific instrument for mitigating air pollutants and carbon emissions. The effective application of the ACEA model in Tangshan's steel industry holds promise for supporting carbon reduction initiatives and elevating environmental standards in other industrial cities across China.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Local air pollutant emission reduction and ancillary carbon benefits of SO2 control policies: Application of AIM/CGE model to China
    Xu, Yan
    Masui, Toshihiko
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 198 (01) : 315 - 325
  • [32] CONTOURS OF AIR POLLUTANT CONCENTRATIONS AND CORROSION RATES OF LOW CARBON STEEL
    Katoh, Koichi
    ANALYTICAL SCIENCES, 1991, 7 : 1017 - 1020
  • [33] Incentivizing emission controls toward clean air and carbon neutrality in China: Perspectives from a risk-based approach for air quality management
    Tang, Kimberly Tasha Jiayi
    Lin, Changqing
    Wang, Zhe
    Zhang, Tianshu
    Li, Lu
    Wong, Tze Wai
    Guo, Cui
    Science of the Total Environment, 2024, 957
  • [34] Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI)
    Kong, Lei
    Tang, Xiao
    Wang, Zifa
    Zhu, Jiang
    Li, Jianjun
    Wu, Huangjian
    Wu, Qizhong
    Chen, Huansheng
    Zhu, Lili
    Wang, Wei
    Liu, Bing
    Wang, Qian
    Chen, Duohong
    Pan, Yuepeng
    Li, Jie
    Wu, Lin
    Carmichael, Gregory R.
    EARTH SYSTEM SCIENCE DATA, 2024, 16 (09) : 4351 - 4387
  • [35] Air pollutant emission from the underestimated households' coal consumption source in China
    Cheng, Miaomiao
    Zhi, Guorui
    Tang, Wei
    Liu, Shijie
    Dang, Hongyan
    Guo, Zheng
    Du, Jinhong
    Du, Xiaohui
    Zhang, Weiqi
    Zhang, Yujie
    Meng, Fan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 580 : 641 - 650
  • [36] Study on Synergistic Emission Reduction in Greenhouse Gases and Air Pollutants in Hebei Province
    Zhang, Haixia
    Liu, Bo
    Cai, Angzu
    Zhao, Zefei
    Wang, Xia
    Li, Rui
    SUSTAINABILITY, 2023, 15 (24)
  • [37] Target the neglected VOCs emission from iron and steel industry in China for air quality improvement
    Cai, Chenglin
    Li, Juexiu
    He, Yi
    Jia, Jinping
    FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING, 2023, 17 (08)
  • [38] Air pollutant emission characteristics and HYSPLIT model analysis during heating period in Shenyang, China
    Ma, Yunfeng
    Wang, Maibo
    Wang, Shuai
    Wang, Yue
    Feng, Lei
    Wu, Kaiyu
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2021, 193 (01)
  • [39] Air pollutant emission characteristics and HYSPLIT model analysis during heating period in Shenyang, China
    Yunfeng Ma
    Maibo Wang
    Shuai Wang
    Yue Wang
    Lei Feng
    Kaiyu Wu
    Environmental Monitoring and Assessment, 2021, 193
  • [40] Vehicle Air Pollutant Emission Inventory and Characterization in Henan Province from 2016 to 2019
    Gao D.-D.
    Yin S.-S.
    Gu X.-K.
    Lu X.
    Zhang H.
    Zhang R.-Q.
    Wang L.-L.
    Qi Y.-J.
    Huanjing Kexue/Environmental Science, 2021, 42 (08): : 3663 - 3675