Rapidly changing coal-related city-level atmospheric mercury emissions and their driving forces

被引:20
|
作者
Guo, Yaqin [1 ]
Xiao, Lin [2 ,3 ]
Chen, Bin [4 ]
Wu, Zhujuan [5 ,6 ]
Chen, Huanxin [1 ]
Li, Jiashuo [2 ,3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Energy & Power Engn, Wuhan 430074, Peoples R China
[2] Shandong Univ, Inst Blue & Green Dev, Weihai 264209, Peoples R China
[3] Shandong Univ, Sch Business, Weihai 264209, Peoples R China
[4] Peking Univ, Coll Engn, Lab Syst Ecol & Sustainabil Sci, Beijing 100871, Peoples R China
[5] Huazhong Univ Sci & Technol, Sch Energy & Power Engn, Dept New Energy Sci & Technol, Wuhan 430074, Peoples R China
[6] Huazhong Univ Sci & Technol, China EU Inst Clean & Renewable Energy, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
China; Mercury emissions; Coal combustion; City; Logistics Mean Division Index;
D O I
10.1016/j.jhazmat.2021.125060
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The up-to-date city-level mercury emission inventory is essential for effective mitigation policy designs due to rapid changes in energy consumption and industrial structures in Chinese cities. This study updated the atmospheric mercury emission inventory in 2015 based on the most recent information on plant-specific air pollution control devices (APCDs) and coal consumption for 45 sectors in 215 Chinese cities. Total emissions were estimated at 218 t with an uncertainty range of - 54.0% to 147%, to which coal-fired industrial boilers (CFIBs) contributed 58.1%, followed by coal-fired power plants (CFPPs, 32.7%). Mercury emissions varied significantly among cities, ranging from 0.0218 to 6.89 t. The Logistics Mean Division Index (LMDI) model was then applied to identify key factors driving mercury emission changes in 50 representative cities from 2010 to 2015. Although coal consumption increased by nearly one fifth across the 50 cities, their total emissions declined by 2.36%, largely due to energy structure adjustments and widespread installations of more efficient APCDs. However, key drivers of mercury mitigation differed widely between the cities, being driven by energy intensity improvements in Chongqing and Guangzhou (Guangdong province) and by energy structure adjustments in Wuhan (Hubei province) and Yinchuan (Ningxia province). Mitigation strategies should be tailored to reflect these differences.
引用
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页数:11
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共 17 条
  • [1] A city-level inventory for atmospheric mercury emissions from coal combustion in China
    Wu, Zhujuan
    Ye, Huafeng
    Shan, Yuli
    Chen, Bin
    Li, Jiashuo
    [J]. ATMOSPHERIC ENVIRONMENT, 2020, 223
  • [2] China's city-level energy-related CO2 emissions: Spatiotemporal patterns and driving forces
    Wang, Shaojian
    Liu, Xiaoping
    [J]. APPLIED ENERGY, 2017, 200 : 204 - 214
  • [3] Spatiotemporal dynamics and driving forces of city-level CO2 emissions in China from 2000 to 2019
    Gao, Shanshan
    Zhang, Xiaoping
    Chen, Mingxing
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 377
  • [4] China's changing city-level greenhouse gas emissions from municipal solid waste treatment and driving factors
    Kang, Yating
    Yang, Qing
    Wang, Liang
    Chen, Yingquan
    Lin, Guiying
    Huang, Junling
    Yang, Haiping
    Chen, Hanping
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2022, 180
  • [5] China's 19-year city-level carbon emissions of energy consumptions, driving forces and regionalized mitigation guidelines
    Su, Yongxian
    Chen, Xiuzhi
    Li, Yong
    Liao, Jishan
    Ye, Yuyao
    Zhang, Hongou
    Huang, Ningsheng
    Kuang, Yaoqiu
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 35 : 231 - 243
  • [6] Driving effects of urbanization on city-level carbon dioxide emissions: from multiple perspectives of urbanization
    Pu, Yanru
    Wang, Yuyi
    Wang, Peng
    [J]. INTERNATIONAL JOURNAL OF URBAN SCIENCES, 2022, 26 (01) : 108 - 128
  • [7] Driving factors of China?s city-level carbon emissions from the perspective of spatial spillover effect
    Ren, Yayun
    Ren, Xiang
    Hu, Jianbo
    [J]. CARBON MANAGEMENT, 2019, 10 (06) : 551 - 566
  • [8] Driving forces of nitrogen input into city-level food systems: Comparing a food-source with a food-sink prefecture-level city in China
    Huang, Wei
    Gao, Bing
    Lin, Jianyi
    Cui, Shenghui
    Zhong, Qiumeng
    Huang, Chulong
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2020, 160
  • [9] A top-bottom estimation method for city-level energy-related CO2 emissions
    Jing, Qiao-Nan
    Hou, Hui-Min
    Bai, Hong-Tao
    Xu, He
    [J]. Zhongguo Huanjing Kexue/China Environmental Science, 2019, 39 (01): : 420 - 427
  • [10] Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China's manufacturing at city level
    Su, Yongxian
    Wang, Yilong
    Zheng, Bo
    Ciais, Philippe
    Wu, Jianping
    Chen, Xiuzhi
    Wang, Yang
    Wang, Changjian
    Ye, Yuyao
    Li, Qian
    Zhang, Chaoqun
    Zhang, Hongou
    Huang, Guangqing
    Huang, Ningsheng
    Lafortezza, Raffaele
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (07)