| Title | Identification of Factors Determining Household PM2.5 Variations at Regional Scale and Their Implications for Pollution Mitigation |
| Authors | Liu, Xinlei Li, Yaojie Luo, Zhihan Xing, Ran Men, Yatai Huang, Wenxuan Jiang, Ke Zhang, Lu Sun, Chao Xie, Longjiao Cheng, Hefa Shen, Huizhong Chen, Yuanchen Du, Wei Shen, Guofeng Tao, Shu |
| Affiliation | Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing 100871, Peoples R China Northeast Agr Univ, Key Lab Agr Renewable Resource Utilizat Technol, Harbin 150006, Peoples R China Shandong Warm Valley New Energy & Environm Protect, Yantai 264001, Peoples R China Peking Univ, Hlth Sci Ctr, Beijing 100871, Peoples R China Southern Univ Sci & Technol, Coll Environm Sci & Technol, Shenzhen 518055, Peoples R China Zhejiang Univ Technol, Coll Environm, Res Ctr Environm Sci, Key Lab Microbial Technol Ind Pollut Control Zheji, Hangzhou 310032, Peoples R China Kunming Univ Sci & Technol, Fac Environm Sci & Engn, Kunming 650500, Peoples R China |
| Keywords | AIR-POLLUTANTS INDOOR PM2.5 CHINA IMPACT FUELS |
| Issue Date | Feb-2023 |
| Publisher | ENVIRONMENTAL SCIENCE & TECHNOLOGY |
| Abstract | Indoor PM2.5, particulate matter no more than 2.5 mu m in aerodynamic equivalent diameter, has very high spatiotemporal variabilities; and exploring the key factors influencing the variabilities is critical for purifying air and protecting human health. Here, we conducted a longer-term field monitoring campaign using low-cost sensors and evaluated interand intra-household PM2.5 variations in rural areas where energy or stove stacking is common. Household PM2.5 varied largely across different homes but also within households. Using generalized linear models and dominance analysis, we estimated that outdoor PM2.5 explained 19% of the intrahousehold variation in indoor daily PM2.5, whereas factors like the outdoor temperature and indoor-outdoor temperature difference that was associated with energy use directly or indirectly, explained 26% of the temporal variation. Inter-household variation was lower than intrahousehold variation. The inter-household variation was strongly associated with distinct internal sources, with energy-use-associated factors explaining 35% of the variation. The statistical source apportionment model estimated that solid fuel burning for heating contributed an average of 31%-55% of PM2.5 annually, whereas the contribution of sources originating from the outdoors was & LE;10%. By replacing raw biomass or coal with biomass pellets in gasifier burners for heating, indoor PM2.5 could be significantly reduced and indoor temperature substantially increased, providing thermal comforts in addition to improved air quality. |
| URI | http://hdl.handle.net/20.500.11897/672139 |
| ISSN | 0013-936X |
| DOI | 10.1021/acs.est.2c05750 |
| 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 医学部待认领 |
