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Bai S, Zhang Y, Li F, Yan Y, Chen H, Feng S, Jiang F, Sun S, Wang Z, Zhou C, Zhou W, Zhao S. High-resolution satellite estimates of coal mine methane emissions from local to regional scales in Shanxi, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 950:175446. [PMID: 39134266 DOI: 10.1016/j.scitotenv.2024.175446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 07/31/2024] [Accepted: 08/09/2024] [Indexed: 08/16/2024]
Abstract
Coal mines are significant anthropogenic sources of methane emissions, detectable and traceable from high spatial resolution satellites. Nevertheless, estimating local or regional-scale coal mine methane emission intensities based on high-resolution satellite observations remains challenging. In this study, we devise a novel interpolation algorithm based on high-resolution satellite observations (including Gaofen5-01A/02, Ziyuan-1 02D, PRISMA, GHGSat-C1 to C5, EnMAP, and EMIT) and conduct assessments of annual mean coal mine methane emissions in Shanxi Province, China, one of the world's largest coal-producing regions, spanning the period 2019 to 2023 across various scales: point-source, local, and regional. We use high-resolution satellite observations to perform interpolation-based estimations of methane emissions from three typical coal-mining areas. This approach, known as IPLTSO (Interpolation based on Satellite Observations), provides spatially explicit maps of methane emission intensities in these areas, thereby providing a novel local-scale coal mine methane emission inventory derived from high-resolution top-down observations. For regional-scale estimation and mapping, we utilize high-resolution satellite data to complement and substitute facility-level emission inventories for interpolation (IPLTSO+GCMT, Interpolation based on Satellite Observations and Global Coal Mine Tracker). We evaluate our IPLTSO and IPLTSO+GCMT estimation with emission inventories, top-down methane emission estimates from TROPOMI observations, and TROPOMI's methane concentration enhancements. The results suggest a notable right-skewed distribution of methane emission flux rates from coal mine point sources. Our IPLTSO+GCMT estimates the annual average coal mine methane emission in Shanxi Province from 2019 to 2023 at 8.9 ± 0.5 Tg/yr, marginally surpassing top-down inversion results from TROPOMI (8.5 ± 0.6 Tg/yr in 2019 and 8.6 ± 0.6 Tg/yr in 2020). Furthermore, the spatial patterns of methane emission intensity delineated by IPLTSO+GCMT and IPLTSO closely mirror those observed in TROPOMI's methane enhancements. Our comparative assessment underscores the superior performance and substantial potential of the developed interpolation algorithm based on high-resolution satellite observations for multi-scale estimation of coal mine methane emissions.
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Affiliation(s)
- Shengxi Bai
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, International Institute for Earth System Sciences, Nanjing University, Nanjing, Jiangsu 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu 210023, China; International Joint Carbon Neutrality Laboratory, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Yongguang Zhang
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, International Institute for Earth System Sciences, Nanjing University, Nanjing, Jiangsu 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu 210023, China; International Joint Carbon Neutrality Laboratory, Nanjing University, Nanjing, Jiangsu 210023, China.
| | - Fei Li
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, International Institute for Earth System Sciences, Nanjing University, Nanjing, Jiangsu 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu 210023, China; International Joint Carbon Neutrality Laboratory, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Yingqi Yan
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, International Institute for Earth System Sciences, Nanjing University, Nanjing, Jiangsu 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu 210023, China; International Joint Carbon Neutrality Laboratory, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Huilin Chen
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Shuzhuang Feng
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, International Institute for Earth System Sciences, Nanjing University, Nanjing, Jiangsu 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Fei Jiang
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, International Institute for Earth System Sciences, Nanjing University, Nanjing, Jiangsu 210023, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Shiwei Sun
- Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing, Jiangsu 210041, China
| | - Zhongting Wang
- Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, China
| | - Chunyan Zhou
- Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, China
| | - Wei Zhou
- Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, China
| | - Shaohua Zhao
- Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, China
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Xiuping H, Zheng D, Kang Y, Handong L, Chuan D. Fluoride and acid enrichment in coal fire sponges in the Wuda coalfield, Inner Mongolia, Northern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 344:123438. [PMID: 38272161 DOI: 10.1016/j.envpol.2024.123438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 01/07/2024] [Accepted: 01/22/2024] [Indexed: 01/27/2024]
Abstract
Coal fire sponges (CFSs) are a type of sponge-like contaminated soil bulge common in coal fire areas. However, the impacts of CFSs on the local environment are not yet understood. Thus, this study investigated soil samples from CFSs in the Wuda coalfield, Inner Mongolia, China, focusing on the acidity, sulfate, and fluorine content. The results showed that the CFSs were highly acidic, with an average pH of 0.76, and contained high levels of SO42- (257.29 × 103 μg/g), total fluorine (TF, 2011.6 μg/g), and water-soluble fluorine (WF, 118.94 μg/g), significantly exceeding those in the regional background soil and indicating that CFSs are a point source of heavy pollution. Soils in the 8000 m2 reclamation zone showed elevated acidity and high SO42- (129.6 × 103 μg/g), TF (1237.8 μg/g), and WF (43.05 μg/g) levels, which was likely the result of the weathering and dissemination of CFS. The CFS samples were rich in hydrogen fluoride, releasing 202.05 ppb of it when heated to 40 °C. Correlation analysis indicated that the acid sulfate soils in CFSs are likely caused by HSO4-/SO42-. Time-of-flight secondary ion mass spectrometry detected four characteristic ions (F-, H3O+, H2SO4+, and HSO4-) in all micro-domains of each sample, indicating that ionic fluorine compounds and sulfuric acid hydrate were found in the CFS samples. Sulfate minerals detected in CFSs included CaSO4, Fe2(SO4)3, CdSO4, NH4HSO4, and Na2SO4. Thus, the results identified CFSs as a transmission channel for contamination, with erosional surface soils as the carrier, for the first time. CFSs pose a serious threat of contamination, albeit over limited areas.
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Affiliation(s)
- Hong Xiuping
- Anhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation, Huaibei Normal University, Huaibei, 235000, PR China
| | - Du Zheng
- Anhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental Remediation, Huaibei Normal University, Huaibei, 235000, PR China
| | - Yang Kang
- School of Chemical & Environmental Engineering, China University of Mining and Technology, Beijing, 100083, PR China.
| | - Liang Handong
- State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing, 100083, PR China
| | - Du Chuan
- State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing, 100083, PR China
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Liu Y, Qi X, Luo D, Zhang Y, Qin J. Detection and management of coal seam outcrop fire in China: a case study. Sci Rep 2024; 14:4609. [PMID: 38409355 PMCID: PMC10897306 DOI: 10.1038/s41598-024-55304-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 02/22/2024] [Indexed: 02/28/2024] Open
Abstract
The outcrop fire area in Rujigou Coal Mine in Ningxia, China has been burning continuously for over 100 years. This not only results in wastage of resources but also poses significant damage to the ecological environment. Previous research on open fire detection has mainly focused on coalfield fire areas, using single method such as infrared remote sensing or surface temperature measurement, magnetic method, electrical method, radon measurement and mercurimetry. However, the outcrop fire area has migrated to deeper parts over the years, conventional single fire zone detection methods are not capable of accurately detecting the extent of the fire zone, inversion interpretation is faced with the problem of many solutions. In fire management, current research focuses on the development of new materials, such as fly ash gel, sodium silicate gel, etc., However, it is often difficult to quickly extinguish outcrop fire areas with a single technique. Considering this status quo, unmanned aerial vehicle (UAV) infrared thermal imaging was employed to initially detect the scope of the outcrop fire area, and then both the spontaneous potential and directional drilling methods were adopted for further scope detection in pursuit of more accurate results. In addition, an applicable fire prevention and extinguishing system was constructed, in which three-phase foam was injected for the purpose of absorbing heat and cooling. Furthermore, the composite colloid was used to plug air leakage channels, and loess was backfilled to avoid re-combustion. The comprehensive detection and control technologies proposed in this study can be applied to eliminating the outcrop fire area and protecting the environment. This study can provide guidance and reference for the treatment of other outcrop fire areas.
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Affiliation(s)
- Yang Liu
- School of Resources and Security, Chongqing Vocational Institute of Engineering, Chongqing, 402260, China.
- School of Safety Engineering, China University of Mining and Technology, Xuzhou, 221000, China.
| | - Xuyao Qi
- School of Safety Engineering, China University of Mining and Technology, Xuzhou, 221000, China
| | - Dayong Luo
- School of Resources and Security, Chongqing Vocational Institute of Engineering, Chongqing, 402260, China
| | - Yongqing Zhang
- School of Resources and Security, Chongqing Vocational Institute of Engineering, Chongqing, 402260, China
| | - Jiangtao Qin
- School of Resources and Security, Chongqing Vocational Institute of Engineering, Chongqing, 402260, China
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Qian Y, Yuan K, Wang J, Xu Z, Liang H, Tie C. Parent and alkylated polycyclic aromatic hydrocarbon emissions from coal seam fire at Wuda, Inner Mongolia, China: characteristics, spatial distribution, sources, and health risk assessment. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:7323-7337. [PMID: 36934209 DOI: 10.1007/s10653-023-01476-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/02/2023] [Indexed: 06/18/2023]
Abstract
The Wuda coalfield in Inner Mongolia is a vital coal base in China, and it is the hardest-hit area for coal fires (spontaneous combustion of coal seams and coal gangue). Using gas chromatography-mass spectrometry, this work tested the concentration and analyzed the characteristics, distribution, sources, and health risks of polycyclic aromatic compounds (PACs) in the surface soil of the Wuda District, including the coal mine, coal fire, agricultural, and background areas. The soil of coal mine and coal fire area were heavily polluted with PACs, with mean concentrations of 9107 and 3163 µg kg-1, respectively, considerably higher than those in the agricultural (1232 µg kg-1) and background areas (710 µg kg-1). Alkyl polycyclic aromatic hydrocarbons (APAHs) were the dominant pollutants among these PACs, accounting for 60-81%. Alkyl naphthalenes and alkyl phenanthrenes are the primary pollutants in APAHs, accounting for 80-90% of the total amounts. Additionally, using the positive matrix factorization method, it can be concluded that the primary PAC sources are petrogenic sources, coal and biomass combustion, coal fires, and vehicle emissions. Finally, according to the cancer risk values of 16 PAHs, only the coal mine area showed a potential cancer risk. However, this result lacks a risk assessment of APAHs and underestimates the actual risk. The results of this study improved the understanding of PAC pollution in coal fire and surrounding areas and provided a reference for environmental and health risk investigations.
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Affiliation(s)
- Yahui Qian
- State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology-Beijing, Beijing, 100083, China
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, 550025, China
| | - Keyue Yuan
- College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, China
| | - Jing Wang
- College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, China
| | - Zhenpeng Xu
- College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, China
| | - Handong Liang
- State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology-Beijing, Beijing, 100083, China
- College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, China
| | - Cai Tie
- State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology-Beijing, Beijing, 100083, China.
- College of Chemical and Environmental Engineering, China University of Mining and Technology-Beijing, Beijing, 100083, China.
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Xu Z, Qian Y, Hong X, Luo Z, Gao X, Liang H. Contamination characteristics of polycyclic aromatic compounds from coal sources in typical coal mining areas in Huaibei area, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 873:162311. [PMID: 36804974 DOI: 10.1016/j.scitotenv.2023.162311] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 02/13/2023] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
Abstract
The Huaibei area is rich in coal resources and serves as the main energy production base in East China. However, serious environmental consequences are associated with coal mining and utilization. With increasing reports on distribution and risks by polycyclic aromatic compounds (PACs), the potential pollution of coal sources must be addressed. Here, the PAC concentrations in the topsoil, coal, and coal gangue of a typical coal mining area in Huaibei were evaluated. The mean ΣPACs in topsoil, coal, and coal gangue were 1528.3, 274,815.8, and 10,908.3 μg·kg-1, respectively. Alkyl polycyclic aromatic hydrocarbons (aPAHs) were identified as primary contributors to PACs, and the concentrations of oxygenated PAHs (oPAHs) were significantly higher in coal and coal gangue than in topsoil. PAC pollution was mainly concentrated in the coal mine area and near the coal gangue landfill road. Not only sixteen high priority pollutant PAHs (16PAHs), but PAH derivatives also contributed to the organic pollution from coal sources. Principal components analysis, multiple linear regression, characteristic ratios, and positive matrix factor analysis were used to trace PAC sources. The characteristic ratios for organic pollution from coal and gangue particles involving 16PAHs, aPAHs, and oPAHs were proposed. Further, the high-ring 16PAH ratio was also found suitable for coal mining areas. The Monte-Carlo risk assessment showed that coal particles were highly carcinogenic, and despite the low carcinogenicity of coal gangue and topsoil, they might also serve as potential carcinogens. This study aimed to disseminate knowledge on PACs from coal and coal gangue, provide a useful background for efficient resource utilization of coal gangue, and a reference for tracing PAC sources in coal mine environment media.
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Affiliation(s)
- Zhenpeng Xu
- State Key Laboratory of Coal Resources and Safe Mining, Beijing 100083, China; College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
| | - Yahui Qian
- State Key Laboratory of Coal Resources and Safe Mining, Beijing 100083, China; College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
| | - Xiuping Hong
- College of Life Sciences, Huaibei Normal University, Huaibei 230500, China
| | - Zhonggeng Luo
- State Key Laboratory of Coal Resources and Safe Mining, Beijing 100083, China; College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
| | - Xiulong Gao
- State Key Laboratory of Coal Resources and Safe Mining, Beijing 100083, China; College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
| | - Handong Liang
- State Key Laboratory of Coal Resources and Safe Mining, Beijing 100083, China; College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China.
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