TY - JOUR
T1 - Characteristics and Sources of Elements of a PM10 Measurements from a Typical Industrial City in Eastern Hubei Province
AU - Zhan, Chang Lin
AU - Zhang, Jia Quan
AU - Zheng, Jing Ru
AU - Yao, Rui Zhen
AU - Liu, Hong Xia
AU - Xiao, Wen Sheng
AU - Liu, Xian Li
AU - Cao, Jun Ji
N1 - Publisher Copyright:
© 2017, Science Press. All right reserved.
PY - 2017/11/15
Y1 - 2017/11/15
N2 - In order to investigate the characteristics and sources of elements in atmospheric aerosols (PM10) measurements, samples were collected between April 2012 and February 2013 in Huangshi, a typical industrial city in the east of Hubei province, China. These samples were analyzed for seventeen elements using wavelength dispersive X-ray fluorescence spectrometry. In addition, the pollution characteristics of fourteen elements were analyzed by an enrichment factor (EF) method, and the sources of these elements were studied by a principal component analysis (PCA) and positive matrix factorization (PMF) method. The result from the EF indicated that the concentration of the seventeen elements in the PM10 measurements varied from 0.01-9.83 μg·m-3. The elemental concentration of S was the highest and Ni and V was the lowest during the monitoring period in Huangshi. Daily levels of Pb and Cd exceeded the annual reference values set by the National Ambient Air Quality Standard (GB3095-2012) by 36.4% and 89.1%, respectively. An analysis of EF showed that Ti, V, Mn, and Ni elements were mildly enriched, indicating they were affected by both natural and anthropogenic sources. Ca, Cr, and Ba elements were moderately enriched and Cu, Zn, Pb, Sn, Sb, and Fe were highly enriched or hyper accumulated, suggesting they are mainly sourced from human activities. There were four sources significantly contributing to the elements in the PM10 measurement, which were determined using PCA and PMF analysis. These were soil and fugitive dust, coal combustion, industry exhausts, and motor vehicle emissions. The results of the two models supported each other and had good consistency.
AB - In order to investigate the characteristics and sources of elements in atmospheric aerosols (PM10) measurements, samples were collected between April 2012 and February 2013 in Huangshi, a typical industrial city in the east of Hubei province, China. These samples were analyzed for seventeen elements using wavelength dispersive X-ray fluorescence spectrometry. In addition, the pollution characteristics of fourteen elements were analyzed by an enrichment factor (EF) method, and the sources of these elements were studied by a principal component analysis (PCA) and positive matrix factorization (PMF) method. The result from the EF indicated that the concentration of the seventeen elements in the PM10 measurements varied from 0.01-9.83 μg·m-3. The elemental concentration of S was the highest and Ni and V was the lowest during the monitoring period in Huangshi. Daily levels of Pb and Cd exceeded the annual reference values set by the National Ambient Air Quality Standard (GB3095-2012) by 36.4% and 89.1%, respectively. An analysis of EF showed that Ti, V, Mn, and Ni elements were mildly enriched, indicating they were affected by both natural and anthropogenic sources. Ca, Cr, and Ba elements were moderately enriched and Cu, Zn, Pb, Sn, Sb, and Fe were highly enriched or hyper accumulated, suggesting they are mainly sourced from human activities. There were four sources significantly contributing to the elements in the PM10 measurement, which were determined using PCA and PMF analysis. These were soil and fugitive dust, coal combustion, industry exhausts, and motor vehicle emissions. The results of the two models supported each other and had good consistency.
KW - Elements
KW - Enrichment factor
KW - Huangshi
KW - PM
KW - Source
UR - https://www.scopus.com/pages/publications/85045715936
U2 - 10.13227/j.hjkx.201704023
DO - 10.13227/j.hjkx.201704023
M3 - 文章
C2 - 29965388
AN - SCOPUS:85045715936
SN - 0250-3301
VL - 38
SP - 4463
EP - 4468
JO - Huanjing Kexue/Environmental Science
JF - Huanjing Kexue/Environmental Science
IS - 11
ER -