全球大气污染物和温室气体融合排放清单研究趋势分析

薄宇, 周洪, 贾紫牧, 唐倩, 徐晨曦, 贺克斌, 陶诚

中国环境科学 ›› 2026, Vol. 46 ›› Issue (2) : 676-688.

PDF(4308 KB)
PDF(4308 KB)
中国环境科学 ›› 2026, Vol. 46 ›› Issue (2) : 676-688.
大气污染与控制

全球大气污染物和温室气体融合排放清单研究趋势分析

  • 薄宇1, 周洪2, 贾紫牧3, 唐倩4, 徐晨曦5,6, 贺克斌7, 陶诚2
作者信息 +

Analysis of global research trends in integrated emission inventories of atmospheric pollutants and greenhouse gases

  • BO Yu1, ZHOU Hong2, JIA Zi-mu3, TANG Qian4, XU Chen-xi5,6, HE Ke-bin7, TAO Cheng2
Author information +
文章历史 +

摘要

气候变化与大气污染是当今全球面临的两大关键环境挑战,构建高精度排放清单是应对这些挑战的科学基础.基于Web of Science数据库,综合运用科学知识图谱和文本挖掘技术,系统解析了全球排放清单研究领域的主题分布、机构格局及合作网络特征.研究发现,该领域发文量在过去数10a间呈现显著增长态势,并表现出约10a周期的跃升特征.研究主题涵盖交通运输排放、颗粒物污染、气候变化减缓等26个主题,涉及行业部门、排放物种、模型方法以及特定过程和影响分析.中国、美国、法国、德国等国的研究机构在领域发展中发挥引领作用,形成了差异化、多元化的研究格局,并构建了具有显著地理集聚效应的国际合作网络.分析揭示,研究主题间存在紧密关联,其中颗粒物污染、空气质量模型、挥发性有机化合物等主题在促进不同排放清单间的知识融合方面已显现出重要作用.未来研究的重点应聚焦于:构建统一的排放清单分类体系、优化排放清单校验方法、推动排放数据公开透明化、以及深化跨国协作与信息共享机制,以期协同推进大气污染物和温室气体排放清单的科学基础与应用效能.

Abstract

Climate change and atmospheric pollution represent two critical environmental challenges facing the world today, and the development of high-accuracy emission inventories serves as the scientific foundation for addressing these challenges. Based on the Web of Science database, this study employs a comprehensive approach integrating scientometric mapping and text mining techniques to systematically analyze the thematic distribution, institutional landscape, and collaborative network characteristics within the global emission inventory research domain. The findings reveal a significant growth trend in publication output over the past decades, with a notable leap cycle of approximately ten years. The research themes encompass 26key topics, including transportation emissions, particulate matter pollution, and climate change mitigation, and span across industrial sectors, emission species, and modeling methodologies, as well as specific processes and impact analyses. Research institutions from China, the United States, France, Germany, and other countries have played leading roles in advancing the field, forming a differentiated and diversified research landscape while establishing international collaboration networks with distinct geographical clustering effects. The analysis demonstrates strong interconnections among research themes, with topics such as particulate matter pollution, air quality modeling, and volatile organic compounds showing significant potential in facilitating knowledge integration across different emission inventories. Future research efforts should prioritize (1) establishing a unified classification system for emission inventories, (2) optimizing emission inventory validation methods, (3) promoting transparency and open access to emission data, and (4) strengthening multinational collaboration and information-sharing mechanisms. These measures are essential for synergistically advancing the scientific foundation and practical application of both air pollutant and greenhouse gas emission inventories.

关键词

排放清单 / 融合 / 大气污染物 / 温室气体 / 科学知识图谱

Key words

emission inventory / integration / atmospheric pollutants / greenhouse gases / scientific knowledge map

引用本文

导出引用
薄宇, 周洪, 贾紫牧, 唐倩, 徐晨曦, 贺克斌, 陶诚. 全球大气污染物和温室气体融合排放清单研究趋势分析[J]. 中国环境科学. 2026, 46(2): 676-688
BO Yu, ZHOU Hong, JIA Zi-mu, TANG Qian, XU Chen-xi, HE Ke-bin, TAO Cheng. Analysis of global research trends in integrated emission inventories of atmospheric pollutants and greenhouse gases[J]. China Environmental Science. 2026, 46(2): 676-688
中图分类号: X51   

参考文献

[1] Hong C, Zhang Q, Zhang Y, et al. Impacts of climate change on future air quality and human health in China [J]. Proceedings of the National Academy of Sciences of the United States of America, 2019,116(35): 17193-17200.
[2] Xu Z, Chen S X, Wu X. Meteorological change and impacts on air pollution: results from north china [J]. Journal of Geophysical Research: Atmospheres, 2020,125(16):e2020JD032423.
[3] Health Effects Institute. State of global air report 2024[EB/OL]. Boston, MA: Health Effects Institute. https://www.stateofglobalair.org/resources/report/state-global-air-report-2024.2024-06-19.2024-11-01.
[4] Feng T, Shi Y, Wang X, et al. Synergies of air pollution control policies: A review [J]. Journal of Environmental Management, 2025, 377:124655.
[5] 赵曼仪,王科.减污降碳协同效应综合评估的研究综述与展望[J].中国人口·资源与环境, 2024,34(2):58-69. Zhao M Y, Wang K. Comprehensive evaluations of the synergistic effects of carbon emission reduction and air pollution control: a literature review [J]. China population, resources and environment, 2024,34(2):58-69.
[6] 郑逸璇,宋晓晖,周佳,等.减污降碳协同增效的关键路径与政策研究[J].中国环境管理, 2021,13(5):45-51. Zheng Y X, Song X H, Zhou J, et al. Synergetic control of environmental pollution and carbon emissions: pathway and policy [J]. Chinese Journal of Environmental Management, 2021,13(5):45-51.
[7] 王书肖,邱雄辉,张强,等.我国人为源大气污染物排放清单编制技术进展及展望[J].环境保护, 2017,45(21):21-26. Wang S X, Qiu X H, Zhang Q, et al. Progress and prospects of emission inventory compilation technology for anthropogenic air pollutants in China [J]. Environmental Protection, 2017,45(21):21-26.
[8] 胡诚,张俊清,刘慧丽,等.城市尺度温室气体排放反演研究进展及发展趋势[J].中国环境科学, 2024,44(12):7036-7045. Hu C, Zhang J Q, Liu H L, et al. Review of the greenhouse gas emission inversion approaches at city scale and future development trends [J]. China Environmental Science, 2024,44(12):7036-7045.
[9] 周卫青,李朋,吴华成,等.基于电力数据优化大气污染物排放清单[J].中国环境科学, 2023,43(7):3350-3359. Zhou W Q, Li P, Wu H C, et al. Research on optimizing air pollutant emission inventory based on electricity consumption data [J]. China Environmental Science, 2023,43(7):3350-3359.
[10] 孙世达,王博,孙露娜,等.江苏省高时空分辨率机动车排放清单构建及特征[J].中国环境科学, 2023,43(9):4490-4502. Sun S D, Wang B, Sun L N, et al. Development and characteristics of vehicle emission inventory with high spatiotemporal resolution in Jiangsu Province [J]. China Environmental Science, 2023,43(9): 4490-4502.
[11] 孙世达,张改革,孙露娜,等.河北省2013~2020年大气污染治理进程中的减污降碳协同效益[J].环境科学, 2023,44(10):5431-5442. Sun S D, Zhang G G, Sun L N, et al. Synergistic benefits of pollution and carbon reduction from air pollution control in Hebei province from 2013 to 2020[J]. Environmental Science, 2023,44(10):5431- 5442.
[12] 郭亚丽,贾俊松,何珊.温室气体与空气污染物协同减排健康效应研究热点及趋势分析[J].中国环境科学, 2024,44(7):4101-4116. Guo Y L, Jia J S, He S. Research hotspots and trends of the health effects of synergistic emission reduction of greenhouse gases and air pollutants [J]. China Environmental Science, 2024,44(7):4101-4116.
[13] Singh P, Yadav D. Link between air pollution and global climate change [C] //Global climate change. Elsevier, 2021:79-108.
[14] 刘卫先,李诚.中国温室气体与大气污染物控制协同规划及其保障规划及其保障[J].中国人口·资源与环境, 2022,32(12):1-10. Liu W X, Li C. Collaborative planning and guarantee of greenhouse gas and air pollutant control in China [J]. China population, resources and environment, 2022,32(12):1-10.DOI: 10.12062/cpre.20221062.
[15] 黄浩瑜,高艳珊,王强.我国人为源大气污染物排放清单研究进展[J].能源环境保护, 2023,37(3):204-216. Huang H Y, Gao Y S, Wang Q. Research progress on emission inventory of anthropogenic air pollutants in China [J]. Energy Environmental Protection, 2023,37(3):204-216.
[16] 罗雯,陈佳,张齐,等.基于多源数据融合的浙江省温室气体与大气污染物排放协同研究[J].环境污染与防治, 2024,46(2):283- 290. Luo W, Chen J, Zhang Q, et al. Research on the synergies in reducing air pollutant and greenhouse gases in Zhejiang Province based on multi-source data fusion [J]. Environmental Pollution & Control, 2024, 46(2):283-290.
[17] 易兰,赵万里,杨历.大气污染与气候变化协同治理机制创新[J].科研管理, 2020,41(10):134-144. Yi L, Zhao W L, Yang L. Innovation of collaborative governance mechanism on air pollution and climate change control [J]. Science Research Management, 2020,41(10):134-144.
[18] 刘兆香,唐艳冬,赵敬敏,等.大气污染物和温室气体“两单融合”发展分析与建议——助力减污降碳协同增效[J].环境保护科学, 2024, 50(2):49-53. Liu Z X, Tang Y D, Zhao J M, et al. Analysis and suggestions of the synergy management and development of air quality pollutant emission inventory and greenhouse gas emission inventory—Helping synergize the reduction of pollution and carbon emissions [J]. Environmental Protection Science, 2024,50(2):49-53.
[19] Schmieder L, Scheer D, Iurato C. Streams analysis for better air quality: The German lead city program assessed by the policy package approach and the multiple streams framework [J]. Energies, 2021, 14(3):596.
[20] 生态环境部办公厅.关于印发《大气污染物与温室气体融合排放清单编制技术指南(试行)》的通知[EB/OL].北京:生态环境部办公厅. https://www.mee.gov.cn/xxgk2018/xxgk/xxgk06/202401/t20240130_1065242.html.2024-01-30.2025-04-20. General Office of Ministry of Ecology and Environment of the People’s Republic of China. Technical guidelines for the compilation of integrated emission inventory of air pollutants and greenhouse gases (Trial)[EB/OL]. Beijing: General Office of Ministry of Ecology and Environment of the People’s Republic of China. https://www.mee.gov.cn/xxgk2018/xxgk/xxgk06/202401/t20240130_1065242.html. 2024- 01-30.2025-04-20.
[21] 张强.中国区域细颗粒物排放及模拟研究[D].北京:清华大学, 2005. Zhang Q. Research on regional fine particulate matter emission and simulation in China [D]. Beijing: Tsinghua University, 2005.
[22] Teoh R, Engberg Z, Shapiro M, et al. The high-resolution Global Aviation emissions Inventory based on ADS-B (GAIA) for 2019-2021[J]. Atmospheric Chemistry and Physics, 2024,24(1):725-744.
[23] 王堃,高佳佳,田贺忠,等.基于POI兴趣点的排放清单空间分配方法[J].中国环境科学, 2017,37(6):2377-2382. Wang K, Gao J J, Tian H Z, et al. Spatial allocation method of emission inventory based on POI point of interest [J]. China Environmental Science, 2017,37(6):2377-2382.
[24] 周子航,邓也,谭钦文,等.四川省人为源大气污染物排放清单及特征[J].环境科学, 2018,39(12):5344-5358. Zhou Z H, Deng Y, Tan Q W, et al. Emission inventory and characteristics of anthropogenic air pollutants from Sichuan Province [J]. Environmental Science, 2018,39(12):5344-5358.
[25] Darras S, Granier C, Liousse C, et al. The ECCAD database, version 2: emissions of atmospheric compounds & compilation of ancillary data [J]. IGAC Newsletter, 2018,hal-02144878f.
[26] Huang K, Eckelman M J. Estimating future industrial emissions of hazardous air pollutants in the United States using the National Energy Modeling System (NEMS) [J]. Resources, Conservation and Recycling, 2021,169:105465.
[27] Deng Z, Ciais P, Tzompa-Sosa Z A, et al. Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions [J]. Earth System Science Data, 2022,14(4): 1639-1675.
[28] Ge Y, Heal M R, Stevenson D S, et al. Evaluation of global EMEP MSC-W (rv4. 34)-WRF (v3. 9.1. 1) model surface concentrations and wet deposition of reactive N and S with measurements [J]. Geoscientific Model Development Discussions, 2021,2021:1-35.
[29] Kuyper J, Schroeder H, Linne B O. The Evolution of the UNFCCC [J]. Annual Review of Environment and Resources, 2018,43(1):343-368.
[30] Uddin N, Holtedahl P. Emission trading schemes-avenues for unified accounting practices [J]. Journal of cleaner production, 2013,52:46- 52.
[31] Ruochong X U, Tong D, Xiao Q, et al. MEIC-global-CO2: A new global CO2 emission inventory with highly-resolved source category and sub-country information [J]. Science China Earth Sciences, 2024, 67(2):450-465.
[32] Abdelrazek A, Eid Y, Gawish E, et al. Topic modeling algorithms and applications: A survey [J]. Information Systems, 2023,112:102131.
[33] Osobajo O A, Otitoju A, Otitoju M A, et al. The impact of energy consumption and economic growth on carbon dioxide emissions [J]. Sustainability, 2020,12.DOI:10.3390/su12197965.
[34] Bo Z, Dan T, Meng L, et al. Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions [J]. Atmospheric Chemistry & Physics, 2018,18(19):14095-14111.
[35] 张羽中,毛慧琴,陈翠红,等.卫星观测在甲烷排放清单校核中的应用[J].遥感学报, 2024,28(8):1940-1954. Zhang Y Z, Mao H Q, Chen C H, et al. Application of satellite observations to verify methane emission inventories [J]. National Remote Sensing Bulletin, 2024,28(8):1940-1954.
[36] Guo W, Shi Y, Liu Y, et al. CO2 emissions retrieval from coal-fired power plants based on OCO-2/3 satellite observations and a Gaussian plume model [J]. Journal of Cleaner Production, 2023.DOI:10.1016/j.jclepro.2023.136525.
[37] Liu X, Yang L, Du J, et al. Carbon and air pollutant emissions forecast of China's cement industry from 2021 to 2035[J]. Resources, Conservation and Recycling, 2024,204:107498.
[38] Teoh R, Engberg Z, Shapiro M, et al. The high-resolution Global Aviation emissions Inventory based on ADS-B (GAIA) for 2019~ 2021[J]. Atmospheric Chemistry and Physics, 2024,24(1):725-744.
[39] McDuffie E E, Smith S J, O'Rourke P, et al. A global anthropogenic emission inventory of atmospheric pollutants from sector-and fuel-specific sources (1970~2017): an application of the Community Emissions Data System (CEDS) [J]. Earth System Science Data Discussions, 2020,2020:1-49.
[40] Maasakkers J D, Varon D J, Elfarsdottir A, et al. Using satellites to uncover large methane emissions from landfills [J]. Science Advances, 2022,8(31):eabn9683.
[41] Hmiel B, Petrenko V V, Dyonisius M N, et al. Preindustrial 14CH4 indicates greater anthropogenic fossil CH4 emissions [J]. Nature, 2020,578(7795):409-412.
[42] Xian B, Xu Y, Chen W, et al. Co-benefits of policies to reduce air pollution and carbon emissions in China [J]. Environmental Impact Assessment Review, 2024,104:107301.
[43] 王震山,绳梦雅,肖薇,等.基于多源碳卫星融合产品的中国地区XCO2与人为CO2排放时空变化[J].中国环境科学, 2023,43(3): 1053-1063. Wang Z S, Sheng M Y, Xiao W, et al. Spatiotemporal changes of XCO2and anthropogenic CO2emission in China based on multi-source carbon satellite fusion product. China Environmental Science, 2023, 43(3):1053-1063.
[44] Larkin N K, Raffuse S M, Huang S M, et al. The comprehensive fire information reconciled emissions (CFIRE) inventory: Wildland fire emissions developed for the 2011 and 2014 US National Emissions Inventory [J]. Journal of the Air & Waste Management Association, 2020,70(11):1165-1185.
[45] Li M, Zeng W, Yang Z, et al. Multiple sources emission inventory closely integrated with atmospheric environment management: A case study of Guangdong, China [J]. Atmospheric Pollution Research, 2023, 14(8):101825.
[46] Liu Z, Ciais P, Deng Z, et al. Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic [J]. Nature communications, 2020,11(1):5172.
[47] Chen D, Jin X, Fu X, et al. Impact of inter-annual variation in meteorology from 2010 to 2019 on the inter-city transport of PM2.5 in the Beijing-Tianjin-Hebei Region [J]. Sustainability, 2022,14(10): 6210.
[48] Ma X, Jia H, Sha T, et al. Spatial and seasonal characteristics of particulate matter and gaseous pollution in China: Implications for control policy [J]. Environmental Pollution, 2019,248:421-428.
[49] Georgiou G K, Christoudias T, Proestos Y, et al. Evaluation of WRF/Chem model (v3. 9.1. 1) real-time air quality forecasts over the Eastern Mediterranean [J]. Geoscientific Model Development Discussions, 2022,2022:1-23.
[50] Kuenen J, Dellaert S, Visschedijk A, et al. CAMS-REG-v4: a state- of-the-art high-resolution European emission inventory for air quality modeling [J]. Earth System Science Data, 2022,14(2):491-515.
[51] NOAA OAR’s Climate Program Office. Understanding volatile organic compound emissions from wildfires in the western us with modeling comparisons [EB/OL]. Silver Spring: NOAA OAR’s Climate Program Office. https://cpo.noaa.gov/News/ArtMID/7875/ArticleID/2896/Understanding-Volatile-Organic-Compound-Emissions-from-Wildfires-in-the-Western. 2023-06-16. 2024-11-01.

基金

国家自然科学基金资助项目(42442108)

PDF(4308 KB)

Accesses

Citation

Detail

段落导航
相关文章

/