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, Junhua; Kang, Shichang; Ji, Zhenming; Chen, Xintong; Yang, Sixiao; Lee, Shao-Yi; de Foy, Benjamin; Chen, Deliang
通讯作者	Kang, SC (通讯作者)
发表日期	2020
ISSN	0169-8095
EISSN	1873-2895
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.
关键词	PARTICULATE MATTER POLLUTION PROVINCIAL CAPITAL CITIES TIBETAN PLATEAU BLACK CARBON OPTICAL-PROPERTIES MINERAL DUST AEROSOL MODEL PRECIPITATION POLLUTANTS
英文关键词	PM2.5 source; Hybrid source apportionment; Seasonal difference; Western China; Control strategies
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000525322900002
来源期刊	ATMOSPHERIC RESEARCH
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259941
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]. 中国科学院青藏高原研究所,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).