TY - JOUR
T1 - Spatial Variability and Source Apportionment of Aliphatic Hydrocarbons in Sediments from the Typical Coal Mining Area
AU - Wang, Shanshan
AU - Liu, Guijian
AU - Yuan, Zijiao
AU - Liu, Yuan
AU - Lam, Paul K.S.
N1 - Publisher Copyright:
© 2020, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Fifty-four surface sediments from the typical coal mining area were analyzed for pristane, phytane and C8–C40 n-alkanes using gas chromatography-mass spectrometry (GC-MS). The spatial distribution, homolog profiles and source apportionment of aliphatic hydrocarbons were investigated. Bimodal distribution pattern, centered at C16–C20 and C27–C33 n-alkanes, were observed in all sediment samples with an obvious dominance of low molecular weight homologues. Principal component analysis-multiple linear regression (PCA-MLR) was used to predict the contributions of different sources. The result implied that natural input was the main source, contribution of which accounted for 60.8%, and the contributions of different sources were estimated as follow: 21.8% for terrestrial higher plants, 24.1% for algae and photosynthetic bacteria, 14.9% for submerged/floating macrophytes, 23.5% for fossil fuel combustion and 15.7% for petroleum hydrocarbons. Moreover, relatively high median concentrations of fossil fuel combustion were observed in Shou County and Fengtai County, indicating the high contribution of fossil fuel combustion in these two areas.
AB - Fifty-four surface sediments from the typical coal mining area were analyzed for pristane, phytane and C8–C40 n-alkanes using gas chromatography-mass spectrometry (GC-MS). The spatial distribution, homolog profiles and source apportionment of aliphatic hydrocarbons were investigated. Bimodal distribution pattern, centered at C16–C20 and C27–C33 n-alkanes, were observed in all sediment samples with an obvious dominance of low molecular weight homologues. Principal component analysis-multiple linear regression (PCA-MLR) was used to predict the contributions of different sources. The result implied that natural input was the main source, contribution of which accounted for 60.8%, and the contributions of different sources were estimated as follow: 21.8% for terrestrial higher plants, 24.1% for algae and photosynthetic bacteria, 14.9% for submerged/floating macrophytes, 23.5% for fossil fuel combustion and 15.7% for petroleum hydrocarbons. Moreover, relatively high median concentrations of fossil fuel combustion were observed in Shou County and Fengtai County, indicating the high contribution of fossil fuel combustion in these two areas.
KW - Aliphatic hydrocarbons
KW - Coal mining
KW - Huaihe River
KW - Principal component analysis-multiple linear regression
KW - Surface sediment
UR - http://www.scopus.com/inward/record.url?scp=85087856771&partnerID=8YFLogxK
U2 - 10.1007/s00128-020-02938-2
DO - 10.1007/s00128-020-02938-2
M3 - Article
C2 - 32671410
AN - SCOPUS:85087856771
SN - 0007-4861
VL - 105
SP - 230
EP - 236
JO - Bulletin of Environmental Contamination and Toxicology
JF - Bulletin of Environmental Contamination and Toxicology
IS - 2
ER -