TY - JOUR
T1 - Source-Specific Health Risk Analysis on Particulate Trace Elements
T2 - Coal Combustion and Traffic Emission As Major Contributors in Wintertime Beijing
AU - Huang, Ru Jin
AU - Cheng, Rui
AU - Jing, Miao
AU - Yang, Lu
AU - Li, Yongjie
AU - Chen, Qi
AU - Chen, Yang
AU - Yan, Jin
AU - Lin, Chunshui
AU - Wu, Yunfei
AU - Zhang, Renjian
AU - El Haddad, Imad
AU - Prevot, Andre S.H.
AU - O'Dowd, Colin D.
AU - Cao, Junji
N1 - Publisher Copyright:
© 2018 American Chemical Society.
PY - 2018/10/2
Y1 - 2018/10/2
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85053658552
U2 - 10.1021/acs.est.8b02091
DO - 10.1021/acs.est.8b02091
M3 - Article
C2 - 30185022
AN - SCOPUS:85053658552
SN - 0013-936X
VL - 52
SP - 10967
EP - 10974
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 19
ER -