Heating transformation in winter significantly will reduce GHGs (CO2, CH4, N2O) emissions: implication from multiple-year concentration observations in Beijing
文献类型：期刊论文
| 作者 | Huang, Wenjing5; Xiao, Wei4; Wen, Xuefa3; Wei, Jie3; Lyu, Sidan3; Hu, Cheng2; Zhang, Mi4; Hu, Ning4; Lee, Xuhui1 |
| 刊名 | ATMOSPHERIC POLLUTION RESEARCH
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| 出版日期 | 2026-04-01 |
| 卷号 | 17期号:4页码:102861 |
| 关键词 | Energy structure CH4/CO2 ratio N2O/CO2 ratio GHG emissions Beijing |
| ISSN号 | 1309-1042 |
| DOI | 10.1016/j.apr.2025.102861 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | It is widely acknowledged that government policies significantly influence the emission and distribution of urban greenhouse gases (GHGs). However, accurately assessing the impact of urban pollution control measures on GHGs in megacities remains challenging and relies on integrating model simulations with multi-source observational data. Since 2003, Beijing, the capital of China, has gradually expanded a heating transformation policy from the city center. This policy shift offers a unique opportunity to quantify the reduction in urban GHG emissions resulting from government interventions. Based on urban GHG observations in Beijing from 2015 to 2020 (conducted without a drying system), this study applies an atmospheric method to analyze interannual variations in GHG emissions during winter heating seasons, which coincided with the energy structure transition, and identifies the main drivers of the observed trends in CH4/CO2 and N2O/CO2 ratios. Our findings showed that: (1) the shift in energy structure has directly reduced greenhouse gas emissions, thereby significantly impacting Beijing's seasonal GHG concentration trends, with an average annual winter reduction of 5.30 & times; 105 t of CO2-equivalent between 2015 and 2018.; (2) the CH4/CO2 and N2O/CO2 ratios exhibited distinct winter trends during 2015-2020, ranging between 6.02 & times; 10-3-8.39 & times; 10-3 ppm ppm-1 and 5.60 & times; 10-5-8.88 & times; 10-5 ppm ppm-1, respectively; (3) source diagnostics derived from the inter-gas correlations show that the interannual variations were driven by both the coal-to-gas transition and other anthropogenic sources like coal mining, wastewater treatment, and landfill management. This study focuses on Beijing, a city that has undergone significant energy structure changes, and serves as a case study for other cities undergoing similar transformations. While this practice can reduce GHG emission intensity, the increased use of natural gas may introduce other emission challenges that require further investigation. |
| URL标识 | 查看原文 |
| WOS关键词 | GREENHOUSE-GAS EMISSIONS ; YANGTZE-RIVER DELTA ; FOSSIL-FUEL CO2 ; CARBON-DIOXIDE ; ATMOSPHERIC CO2 ; LOS-ANGELES ; TOP-DOWN ; ANTHROPOGENIC CO2 ; MOLE FRACTIONS ; CHINA |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001736695000001 |
| 出版者 | TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221491]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Xiao, Wei |
| 作者单位 | 1.Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06511, USA 2.Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forest Southern China, Nanjing 210037, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; 4.Nanjing Univ Informat Sci & Technol, Int Joint Lab Climate & Environm Change, Nanjing 210044, Peoples R China; 5.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; |
| 推荐引用方式 GB/T 7714 | Huang, Wenjing,Xiao, Wei,Wen, Xuefa,et al. Heating transformation in winter significantly will reduce GHGs (CO2, CH4, N2O) emissions: implication from multiple-year concentration observations in Beijing[J]. ATMOSPHERIC POLLUTION RESEARCH,2026,17(4):102861. |
| APA | Huang, Wenjing.,Xiao, Wei.,Wen, Xuefa.,Wei, Jie.,Lyu, Sidan.,...&Lee, Xuhui.(2026).Heating transformation in winter significantly will reduce GHGs (CO2, CH4, N2O) emissions: implication from multiple-year concentration observations in Beijing.ATMOSPHERIC POLLUTION RESEARCH,17(4),102861. |
| MLA | Huang, Wenjing,et al."Heating transformation in winter significantly will reduce GHGs (CO2, CH4, N2O) emissions: implication from multiple-year concentration observations in Beijing".ATMOSPHERIC POLLUTION RESEARCH 17.4(2026):102861. |
入库方式： OAI收割
来源：地理科学与资源研究所
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