Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2019.104787 |
A hybrid method for PM2.5 source apportionment through WRF-Chem simulations and an assessment of emission-reduction measures in western China | |
Yang, Junhua1; Kang, Shichang1,3,4; Ji, Zhenming2; Chen, Xintong1; Yang, Sixiao2; Lee, Shao-Yi2; de Foy, Benjamin5; Chen, Deliang6 | |
2020-05-15 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2020 |
卷号 | 236 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA; Sweden |
英文摘要 | To alleviate air pollution in western China, experiencing rapid economic growth following national western development strategies, an accurate and compressive assessment of PM2.5 sources is critical. Here, we firstly investigated the spatiotemporal variation in PM2.5 and analyzed its association with weather conditions and emission changes. Then, WRF-Chem simulations were conducted for an entire year to obtain various emission sectors' contributions to the PM2.5 mass by a hybrid method, which considers both the proportions of various components as well as each sector contributing to these components. The results showed that residential emissions had the largest contribution to PM2.5 because of its dominating contribution for primary components of PM2.5 (BC and POA), which can explain > 70% of PM2.5. Seasonally, the residential contributions to PM2.5 were higher in the non-monsoon period than in the monsoon period because of the higher contribution ratios to primary components. Regionally, as an essential source of the gaseous precursors, the industrial and transportation sectors were the second-largest contributors to PM2.5 in the highly populated urban (HP) and remote background (RM) regions, respectively. Further assessment of emission reduction measures indicated that eliminating 50% of residential emissions induced a 29.4% and 33.1% decrease in the annual PM2.5 mass of the HP and RM regions, respectively, with higher decrease proportions in non-monsoon. By comparison, eliminating 50% of industrial emissions caused a significantly lower decrease in PM2.5 for both HP (10%) and RM (4.6%). Eliminating 50% of transportation emissions led to PM2.5 concentrations to decline by 9.3% in RM, which was greater than the 4.6% reduction caused by eliminating 50% of industrial emissions. Therefore, in addition to focusing on the residential sector, especially in non-monsoon in western China, the transportation sector should be a focus to alleviate PM2.5 pollution on the Tibetan Plateau. The outcome of this study provides valuable information for policy-makers to make strategies to mitigate air pollution in western China. |
英文关键词 | PM2.5 source Hybrid source apportionment Seasonal difference Western China Control strategies |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000525322900002 |
WOS关键词 | PARTICULATE MATTER POLLUTION ; PROVINCIAL CAPITAL CITIES ; TIBETAN PLATEAU ; BLACK CARBON ; OPTICAL-PROPERTIES ; MINERAL DUST ; AEROSOL ; MODEL ; PRECIPITATION ; POLLUTANTS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/278864 |
专题 | 地球科学 |
作者单位 | 1.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China; 2.Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou 510275, Guangdong, Peoples R China; 3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China; 4.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100085, Peoples R China; 5.St Louis Univ, Dept Earth & Atmospher Sci, St Louis, MO 63108 USA; 6.Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, S-40530 Gothenburg, Sweden |
推荐引用方式 GB/T 7714 | Yang, Junhua,Kang, Shichang,Ji, Zhenming,et al. A hybrid method for PM2.5 source apportionment through WRF-Chem simulations and an assessment of emission-reduction measures in western China[J]. ATMOSPHERIC RESEARCH,2020,236. |
APA | Yang, Junhua.,Kang, Shichang.,Ji, Zhenming.,Chen, Xintong.,Yang, Sixiao.,...&Chen, Deliang.(2020).A hybrid method for PM2.5 source apportionment through WRF-Chem simulations and an assessment of emission-reduction measures in western China.ATMOSPHERIC RESEARCH,236. |
MLA | Yang, Junhua,et al."A hybrid method for PM2.5 source apportionment through WRF-Chem simulations and an assessment of emission-reduction measures in western China".ATMOSPHERIC RESEARCH 236(2020). |
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