TY - JOUR
T1 - Characteristics and Sources of Hourly Trace Elements in Airborne Fine Particles in Urban Beijing, China
AU - Cui, Yang
AU - Ji, Dongsheng
AU - Chen, Hui
AU - Gao, Meng
AU - Maenhaut, Willy
AU - He, Jun
AU - Wang, Yuesi
N1 - Funding Information:
This work was supported by the National Key Research and Development Program of China (2017YFC0210000), the CAS Key Technology Talent Program, and the National Research Program for Key Issues in Air Pollution Control (DQGG0101). The authors would like to thank all members of the LAPC/CERN in IAP, CAS, for maintaining the instruments used in the current study. We also like to thank NOAA for providing the HYSPLIT and TrajStat models. The data used in this manuscript are available at http://doi.org/10.5281/zenodo.3448720 .
Funding Information:
This work was supported by the National Key Research and Development Program of China (2017YFC0210000), the CAS Key Technology Talent Program, and the National Research Program for Key Issues in Air Pollution Control (DQGG0101). The authors would like to thank all members of the LAPC/CERN in IAP, CAS, for maintaining the instruments used in the current study. We also like to thank NOAA for providing the HYSPLIT and TrajStat models. The data used in this manuscript are available at http://doi.org/10.5281/zenodo.3448720.
PY - 2019/11/16
Y1 - 2019/11/16
N2 - To better investigate the characteristics and sources of trace elements (TEs) in PM2.5 in urban Beijing, a 1-year hourly observation was continuously made using an online multi-element analyzer from 1 June 2016 to 31 May 2017. The average concentrations of 14 individual TEs ranged from 1.1 (V) to 900 ng/m3 (K). The occurrence levels of most TEs of interest in Beijing were lower than those in most domestic cities, but higher than those in most foreign countries. The formation of sulfate increased with the concentrations of all studied TEs during autumn and winter. Dust, industry, biomass burning and waste incineration, vehicle emissions, coal combustion, and oil combustion were identified by the positive matrix factorization (PMF) model, which accounted for 36.3%, 10.7%, 27.1%, 13.7%, 7.6%, and 4.6%, respectively, of the total elements. All factors exhibited higher concentrations on weekends than on weekdays. Local vehicular emissions and industry contributed to the loading of TEs, but dust, biomass burning and waste incineration, coal combustion, and oil combustion from neighboring areas appeared to be dominant sources of TEs. Except for dust and industry, the four other sources of TEs were mainly located in the south and southeast areas of the sampling site. The analysis by conditional probability function and potential source contribution function showed that the distribution of the PMF sources of TEs roughly agreed with the location of the main point sources. Overall, this work provides more detailed information on the characteristics of the TEs for the scientific community and modelling work.
AB - To better investigate the characteristics and sources of trace elements (TEs) in PM2.5 in urban Beijing, a 1-year hourly observation was continuously made using an online multi-element analyzer from 1 June 2016 to 31 May 2017. The average concentrations of 14 individual TEs ranged from 1.1 (V) to 900 ng/m3 (K). The occurrence levels of most TEs of interest in Beijing were lower than those in most domestic cities, but higher than those in most foreign countries. The formation of sulfate increased with the concentrations of all studied TEs during autumn and winter. Dust, industry, biomass burning and waste incineration, vehicle emissions, coal combustion, and oil combustion were identified by the positive matrix factorization (PMF) model, which accounted for 36.3%, 10.7%, 27.1%, 13.7%, 7.6%, and 4.6%, respectively, of the total elements. All factors exhibited higher concentrations on weekends than on weekdays. Local vehicular emissions and industry contributed to the loading of TEs, but dust, biomass burning and waste incineration, coal combustion, and oil combustion from neighboring areas appeared to be dominant sources of TEs. Except for dust and industry, the four other sources of TEs were mainly located in the south and southeast areas of the sampling site. The analysis by conditional probability function and potential source contribution function showed that the distribution of the PMF sources of TEs roughly agreed with the location of the main point sources. Overall, this work provides more detailed information on the characteristics of the TEs for the scientific community and modelling work.
KW - source apportionment
KW - sulfate
KW - trace element
KW - urban Beijing
UR - http://www.scopus.com/inward/record.url?scp=85075051696&partnerID=8YFLogxK
U2 - 10.1029/2019JD030881
DO - 10.1029/2019JD030881
M3 - Journal article
AN - SCOPUS:85075051696
SN - 2169-897X
VL - 124
SP - 11595
EP - 11613
JO - Journal of Geophysical Research Atmospheres
JF - Journal of Geophysical Research Atmospheres
IS - 21
ER -