Quantification of Fugitive Carbon Emissions from Uncontrolled Combustion in Coal Fire Area: the Sandaoba Coalfield, Xinjiang, China

被引:0
|
作者
Deng, Jinchang [1 ,2 ]
Shi, Bobo [4 ]
Cullen, Jose L. Torero [5 ]
Xue, Yong [2 ]
Zhou, Fubao [3 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equipm, Sch Environm Sci & Engn, Jiangsu Key Lab Atmospher Environm Monitoring & Po, Nanjing 210044, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Sch Emergency Management, Nanjing 210044, Peoples R China
[3] China Acad Safety Sci & Technol, Beijing 100012, Peoples R China
[4] China Univ Min & Technol, Sch Safety Engn, Xuzhou 221116, Peoples R China
[5] UCL, Dept Civil Environm & Geomat Engn, London WC1E6BT, England
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Coal fires; Emission flux model; Field measurements; Geostatistical analysis; CO; 2; estimation; GREENHOUSE-GAS EMISSIONS; GASEOUS EMISSIONS; KENTUCKY; CO2;
D O I
10.1016/j.envres.2025.120923
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Spontaneous coal fires are a significant source of greenhouse gas emissions, contributing to global warming. However, the lack of reliable estimation methods and research has obscured the full environmental impact of these emissions. This paper presents a novel quantification method for fugitive carbon emissions from spontaneous coal combustion. A combination of field measurements, laboratory tests, and geostatistical analysis led to the development of the Carbon Emission Flux (CEF) model, which was applied to the Sandaoba coalfield fire areas. The study quantitatively estimates the average CO2 emission fluxes from borehole, fissure, and soil sources: 517 g/m2 center dot s, 61.5 g/m2 center dot s and 5.33 mg/m2 center dot s, respectively. Borehole fluxes exhibit the highest intensity, while fissures contribute the most carbon emissions. Both temperature and gas velocity significantly and positively influence the CO2 concentration in borehole and fissure emissions. Surface fissure density, measured across different fire areas, averages 1.039 x 10-3 per unit area. Using chamber flux measurement and Kriging geostatistical interpolation, the net soil-diffuse flux was determined to be 2.406 mg/m2 center dot s after background removal. Methane emissions are also considered, with a correction factor of 1.004%. The total annual fugitive carbon emissions from the Sandaoba coalfield fire are estimated at (6.53 +/- 1.86) x 105 tons/yr (COQ equivalent), with a robust uncertainty of 28.6%. The study further highlights the significant carbon reduction achieved through local fire suppression efforts, applicable across all emission sources.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Characteristics of particulate carbon emissions from real-world Chinese coal combustion
    Zhang, Yuanxun
    Schauer, James Jay
    Zhang, Yuanhang
    Zeng, Limin
    Wei, Yongjie
    Liu, Yuan
    Shao, Min
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2008, 42 (14) : 5068 - 5073
  • [32] Estimation of greenhouse gas emissions from spontaneous combustion/fire of coal in opencast mines - Indian context
    Mohalik, N. K.
    Lester, E.
    Lowndes, I. S.
    Singh, V. K.
    CARBON MANAGEMENT, 2016, 7 (5-6) : 317 - 332
  • [33] Quantification of provincial-level carbon emissions from energy consumption in China
    Geng, Yuhuan
    Tian, Mingzhong
    Zhu, Qiuan
    Zhang, Jianjun
    Peng, Changhui
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2011, 15 (08): : 3658 - 3668
  • [34] Comprehensive Fractal Model and Pore Structural Features of Medium- and Low-Rank Coal from the Zhunnan Coalfield of Xinjiang, China
    Lin, Haifei
    Bai, Yang
    Bu, Jingting
    Li, Shugang
    Yan, Min
    Zhao, Pengxiang
    Qin, Lei
    ENERGIES, 2020, 13 (01)
  • [35] Comprehensive fractal model and pore structural features of medium- And low-rank coal from the zhunnan coalfield of Xinjiang, China
    Lin H.
    Bai Y.
    Bu J.
    Li S.
    Yan M.
    Zhao P.
    Qin L.
    Energies, 2019, 13 (01)
  • [36] Heavy metals in the soils and plants from a typical restored coal-mining area of Huainan coalfield, China
    Niu, Siping
    Gao, Liangmin
    Zhao, Junjie
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2017, 189 (10)
  • [37] Heavy metals in the soils and plants from a typical restored coal-mining area of Huainan coalfield, China
    Siping Niu
    Liangmin Gao
    Junjie Zhao
    Environmental Monitoring and Assessment, 2017, 189
  • [38] Characteristics and Influence Factors of Natural Desorption in Coal Bodies from Fukang Mining Area, Xinjiang, China
    Du, Liang
    Huang, Xuchao
    Wang, Zhengshuai
    Cheng, Chuanjian
    Maimaitizhuma, Kuwanixibieke
    Wang, Haichao
    Wang, Zhenzhi
    Zeng, Zhiwei
    Luo, Bing
    Yang, Mengmeng
    Ouyang, Zheyuan
    Dou, Wei
    Zhang, Beixi
    Li, Teng
    ACS OMEGA, 2023, 8 (43): : 40417 - 40432
  • [39] Spatial-temporal analysis of coal fire risk identification and suppression assessment with satellite time series mapping 2013-2020 in Midong coalfield, Xinjiang, China
    Deng, Jinchang
    Cullen, Jose L. Torero
    Xue, Yong
    Zhou, Fubao
    Shi, Bobo
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2023, 44 (07) : 2236 - 2272
  • [40] Change detection analysis in coverage area of coal fire from 2009 to 2019 in Jharia Coalfield using remote sensing data
    Biswal, Shanti Swarup
    Gorai, A. K.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2020, 41 (24) : 9545 - 9564