| Title | Spatially Resolved Emission Factors to Reduce Uncertainties in Air Pollutant Emission Estimates from the Residential Sector |
| Authors | Liu, Xinlei Shen, Guofeng Chen, Laiguo Qian, Zhe Zhang, Ningning Chen, Yuanchen Chen, Yingjun Cao, Junji Cheng, Hefa Du, Wei Li, Bengang Li, Gang Li, Yaojie Liang, Xiaoming Liu, Ming Lu, Haitao Luo, Zhihan Ren, Yuxuan Zhang, Yong Zhu, Dongqiang Tao, Shu |
| Affiliation | Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing 100871, Peoples R China Minist Ecol & Environm, State Environm Protect Key Lab Urban Ecol Environ, South China Inst Environm Sci, Guangzhou 510655, Peoples R China Tongji Univ, Coll Environm Sci & Engn, Shanghai 200092, Peoples R China Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol Chem & Phys, Xian 710049, Peoples R China Zhejiang Univ Technol, Coll Environm, Hangzhou 310014, Peoples R China Fudan Univ, Dept Environm Sci & Engn, Shanghai Key Lab Atmospher Particle Pollut & Prev, Shanghai 200438, Peoples R China East China Normal Univ, Sch Geog Sci, Lab Geog Informat Sci, Shanghai 200241, Peoples R China Beijing Technol & Business Univ, Sch Mat Sci & Mech Engn, Beijing 100048, Peoples R China |
| Keywords | PARTICULATE MATTER HOUSEHOLD COOKING ENERGY EFFICIENCY FIELD MEASUREMENT RURAL HOUSEHOLDS GAS EMISSIONS SOLID FUELS PM2.5 COAL COOKSTOVES |
| Issue Date | 20-Apr-2021 |
| Publisher | ENVIRONMENTAL SCIENCE & TECHNOLOGY |
| Abstract | 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. |
| URI | http://hdl.handle.net/20.500.11897/613785 |
| ISSN | 0013-936X |
| DOI | 10.1021/acs.est.0c08568 |
| Indexed | SCI(E) |
| Appears in Collections: | 城市与环境学院 地表过程分析与模拟教育部重点实验室 |
