气候变化领域集成服务门户(CCPortal): A hybrid method for PM2.5 source apportionment through WRF-Chem simulations and an assessment of emission-reduction measures in western China

CCPortal

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 J.; Kang S.; Ji Z.; Chen X.; Yang S.; Lee S.-Y.; de Foy B.; Chen D.
发表日期	2020
ISSN	0169-8095
卷号	236
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. © 2019 Elsevier B.V.
英文关键词	Control strategies; Hybrid source apportionment; PM2.5 source; Seasonal difference; Western China
学科领域	Air pollution; Atmospheric thermodynamics; Economics; Emission control; Housing; Motor transportation; Control strategies; Hybrid source; PM2.5 source; Seasonal differences; Western China; Urban transportation; air quality; atmospheric pollution; carbon emission; particulate matter; pollution control; pollution monitoring; source apportionment; strategic approach; China; Qinghai-Xizang Plateau
语种	英语
scopus关键词	Air pollution; Atmospheric thermodynamics; Economics; Emission control; Housing; Motor transportation; Control strategies; Hybrid source; PM2.5 source; Seasonal differences; Western China; Urban transportation; air quality; atmospheric pollution; carbon emission; particulate matter; pollution control; pollution monitoring; source apportionment; strategic approach; China; Qinghai-Xizang Plateau
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120475
作者单位	State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou, 730000, China; School of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou, 510275, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China; Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100085, China; Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO 63108, United States; Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, 40530, Sweden
推荐引用方式 GB/T 7714	Yang J.,Kang S.,Ji Z.,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],2020,236.
APA	Yang J..,Kang S..,Ji Z..,Chen X..,Yang S..,...&Chen D..(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 J.,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).