posted on 2018-09-06, 00:00authored byRu-Jin Huang, Rui Cheng, Miao Jing, Lu Yang, Yongjie Li, Qi Chen, Yang Chen, Jin Yan, Chunshui Lin, Yunfei Wu, Renjian Zhang, Imad El Haddad, Andre S. H. Prevot, Colin D. O’Dowd, Junji Cao
Source
apportionment studies of particulate matter (PM) link chemical
composition to emission sources, while health risk analyses link health
outcomes and chemical composition. There are limited studies to link
emission sources and health risks from ambient measurements. We show
such an attempt for particulate trace elements. Elements in PM2.5 were measured in wintertime Beijing, and the total concentrations
of 14 trace elements were 1.3–7.3 times higher during severe
pollution days than during low pollution days. Fe, Zn, and Pb were
the most abundant elements independent of the PM pollution levels.
Chemical fractionation shows that Pb, Mn, Cd, As, Sr, Co, V, Cu, and
Ni were present mainly in the bioavailable fraction. Positive matrix
factorization was used to resolve the sources of particulate trace
elements into dust, oil combustion, coal combustion, and traffic-related
emissions. Traffic-related emission contributed 65% of total mass
of the measured elements during low pollution days. However, coal
combustion dominated (58%) during severe pollution days. By combining
element-specific health risk analyses and source apportionment results,
we conclude that traffic-related emission dominates the health risks
by particulate trace elements during low pollution days, while coal
combustion becomes equally or even more important during moderate
and severe pollution days.