Spatially Resolved Emission Factors to Reduce Uncertainties in Air Pollutant Emission Estimates from the Residential Sector
文献类型：期刊论文
| 作者 | Liu, Xinlei1; Shen, Guofeng1; Chen, Laiguo2; Qian, Zhe3; Zhang, Ningning4; Chen, Yuanchen5; Chen, Yingjun6; Cao, Junji4; Cheng, Hefa1; Du, Wei7 |
| 刊名 | ENVIRONMENTAL SCIENCE & TECHNOLOGY
 |
| 出版日期 | 2021-04-20 |
| 卷号 | 55期号:8页码:4483-4493 |
| ISSN号 | 0013-936X |
| DOI | 10.1021/acs.est.0c08568 |
| 通讯作者 | Shen, Guofeng(gfshen12@pku.edu.cn) |
| 英文摘要 | The residential sector is a major source of air pollutant emission inventory uncertainties. A nationwide field emission measurement campaign was conducted in rural China to evaluate the variabilities of realistic emission factors (EFs) from indoor solid fuel combustion. For a total of 1313 burning events, the overall average EFs (+/- standard deviation) of PM2.5 were 8.93 +/- 6.95 and 7.33 +/- 9.01 g/kg for biomass and coals, respectively, and 89.3 +/- 51.2 and 114 +/- 87 g/kg for CO. Higher EFs were found from burning of uncompressed straws, while lower EFs were found from processed biomass pellets, coal briquettes, and relatively clean anthracite coals. Modified combustion efficiency was found to be the most significant factor associated with variations in CO EFs, whereas for PM2.5, fuel and stove differences determined its variations. Weak correlations between PM2.5 and CO indicated high uncertainties in using CO as a surrogate for PM2.5. EFs accurately fit log-normal distributions, and obvious spatial heterogeneity was observed attributed to different fuel-stove combinations across the country. Emission estimation variabilities, which are determined by the interquartile ranges divided by the median values, were notably reduced when spatially resolved EFs were adopted in the inventory. |
| WOS关键词 | PARTICULATE MATTER ; HOUSEHOLD COOKING ; ENERGY EFFICIENCY ; FIELD MEASUREMENT ; RURAL HOUSEHOLDS ; GAS EMISSIONS ; SOLID FUELS ; PM2.5 ; COAL ; COOKSTOVES |
| 资助项目 | National Nature Science Foundation of China[41922057] ; National Nature Science Foundation of China[42077328] ; National Nature Science Foundation of China[41991312] ; National Nature Science Foundation of China[41830641] ; Chinese Academy of Science[XDA23010100] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | AMER CHEMICAL SOC |
| WOS记录号 | WOS:000643546400029 |
| 资助机构 | National Nature Science Foundation of China ; Chinese Academy of Science |
| 源URL | [http://ir.ieecas.cn/handle/361006/16521]  |
| 专题 | 地球环境研究所_粉尘与环境研究室 |
| 通讯作者 | Shen, Guofeng |
| 作者单位 | 1.Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing 100871, Peoples R China 2.Minist Ecol & Environm, State Environm Protect Key Lab Urban Ecol Environ, South China Inst Environm Sci, Guangzhou 510655, Peoples R China 3.Tongji Univ, Coll Environm Sci & Engn, Shanghai 200092, Peoples R China 4.Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol Chem & Phys, Xian 710049, Peoples R China 5.Zhejiang Univ Technol, Coll Environm, Hangzhou 310014, Peoples R China 6.Fudan Univ, Dept Environm Sci & Engn, Shanghai Key Lab Atmospher Particle Pollut & Prev, Shanghai 200438, Peoples R China 7.East China Normal Univ, Sch Geog Sci, Lab Geog Informat Sci, Shanghai 200241, Peoples R China 8.Beijing Technol & Business Univ, Sch Mat Sci & Mech Engn, Beijing 100048, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Xinlei,Shen, Guofeng,Chen, Laiguo,et al. Spatially Resolved Emission Factors to Reduce Uncertainties in Air Pollutant Emission Estimates from the Residential Sector[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY,2021,55(8):4483-4493. |
| APA | Liu, Xinlei.,Shen, Guofeng.,Chen, Laiguo.,Qian, Zhe.,Zhang, Ningning.,...&Tao, Shu.(2021).Spatially Resolved Emission Factors to Reduce Uncertainties in Air Pollutant Emission Estimates from the Residential Sector.ENVIRONMENTAL SCIENCE & TECHNOLOGY,55(8),4483-4493. |
| MLA | Liu, Xinlei,et al."Spatially Resolved Emission Factors to Reduce Uncertainties in Air Pollutant Emission Estimates from the Residential Sector".ENVIRONMENTAL SCIENCE & TECHNOLOGY 55.8(2021):4483-4493. |
入库方式： OAI收割
来源：地球环境研究所
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