TY - JOUR
T1 - Size distribution and source apportionment of airborne metallic elements in Nanjing, China
AU - Hu, Xin
AU - Ding, Zhuhong
AU - Zhang, Yun
AU - Sun, Yuanyuan
AU - Wu, Jichun
AU - Chen, Yijun
AU - Lian, Hongzhen
PY - 2013/12
Y1 - 2013/12
N2 - In order to investigate the temporal and spatial variations and the size distribution of atmospheric particulate matter and associated airborne elements, atmospheric particulate matter (TSP, PM2.5 and size-segregated aerosol particles) were collected monthly for one year from the traditional central district and suburbs of Nanjing, China. Source identification of airborne elements in PM2.5 was carried out using multivariate statistical analysis. The annual mass concentrations ranged from 49.4 μg/m3 to 391 μg/m3, with a mean of 135 μg/m3 for TSP and from 20.4 μg/m3 to 200 μg/m3 with a mean of 80.5 μg/m3 for PM2.5. The distribution of annual size-segregated aerosol particles showed a bimodal pattern of coarse and fine particle fractions. Spatial and seasonal variations of elemental composition in atmospheric particulates were observed. The major elements (A1, Ca, Fe, Mg, Na and Mn) were mainly distributed in coarse fractions, while toxic elements, such as As, Cd, Pb and Zn, were significantly enriched in the fine fractions. The enrichment factor indicated anthropogenic inputs of As, Cu, Ni, Pb and Zn in the TSP and PM2.5 examined in this work. Four potential sources for PM2.5 were identified by principal component analysis. The source contributions calculated using absolute principal component scores were 37.5% for the first component, 34.1% for the second, 9.0% for the third and 19.8% for the fourth. The Na/Cr/Cu component identified by principal component analysis was divided into Na/Cr and Cu groups using R-mode cluster analysis of PM2.5, and the Ti in the fourth component was assigned to Cluster 2, indicating a statistical difference in airborne metallic elements. The results of the investigation of element composition, size distribution, and source apportionment carried out in this work can help to better understand and manage the effects of these aerosols on health and air quality.
AB - In order to investigate the temporal and spatial variations and the size distribution of atmospheric particulate matter and associated airborne elements, atmospheric particulate matter (TSP, PM2.5 and size-segregated aerosol particles) were collected monthly for one year from the traditional central district and suburbs of Nanjing, China. Source identification of airborne elements in PM2.5 was carried out using multivariate statistical analysis. The annual mass concentrations ranged from 49.4 μg/m3 to 391 μg/m3, with a mean of 135 μg/m3 for TSP and from 20.4 μg/m3 to 200 μg/m3 with a mean of 80.5 μg/m3 for PM2.5. The distribution of annual size-segregated aerosol particles showed a bimodal pattern of coarse and fine particle fractions. Spatial and seasonal variations of elemental composition in atmospheric particulates were observed. The major elements (A1, Ca, Fe, Mg, Na and Mn) were mainly distributed in coarse fractions, while toxic elements, such as As, Cd, Pb and Zn, were significantly enriched in the fine fractions. The enrichment factor indicated anthropogenic inputs of As, Cu, Ni, Pb and Zn in the TSP and PM2.5 examined in this work. Four potential sources for PM2.5 were identified by principal component analysis. The source contributions calculated using absolute principal component scores were 37.5% for the first component, 34.1% for the second, 9.0% for the third and 19.8% for the fourth. The Na/Cr/Cu component identified by principal component analysis was divided into Na/Cr and Cu groups using R-mode cluster analysis of PM2.5, and the Ti in the fourth component was assigned to Cluster 2, indicating a statistical difference in airborne metallic elements. The results of the investigation of element composition, size distribution, and source apportionment carried out in this work can help to better understand and manage the effects of these aerosols on health and air quality.
KW - Atmospheric particles
KW - Chemical composition
KW - Enrichment factor
KW - Multivariate statistical analysis
KW - Seasonal variation
UR - http://www.scopus.com/inward/record.url?scp=84888393257&partnerID=8YFLogxK
U2 - 10.4209/aaqr.2012.11.0332
DO - 10.4209/aaqr.2012.11.0332
M3 - 文章
AN - SCOPUS:84888393257
SN - 1680-8584
VL - 13
SP - 1796
EP - 1806
JO - Aerosol and Air Quality Research
JF - Aerosol and Air Quality Research
IS - 6
ER -