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Spatial Variability and Source Apportionment of Aliphatic Hydrocarbons in Sediments from the Typical Coal Mining Area.
Bulletin of Environmental Contamination and Toxicology ( IF 2.7 ) Pub Date : 2020-07-15 , DOI: 10.1007/s00128-020-02938-2
Shanshan Wang 1, 2, 3 , Guijian Liu 1, 2 , Zijiao Yuan 4 , Yuan Liu 1 , Paul K S Lam 3
Affiliation  

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.

中文翻译:

典型煤矿区沉积物中脂肪烃的空间变异性和物源分配。

使用气相色谱-质谱法(GC-MS)分析了典型煤矿区的五十四个地表沉积物中的for烷,植烷和C 8 –C 40正构烷烃。研究了脂肪烃的空间分布,同系物谱和来源分配。双峰分布模式,以C 16 –C 20和C 27 –C 33为中心在所有沉积物样品中均观察到正构烷烃,其中低分子量同系物具有明显优势。主成分分析-多元线性回归(PCA-MLR)用于预测不同来源的贡献。结果表明,自然输入是主要来源,其贡献占60.8%,不同来源的贡献估计如下:陆生高等植物为21.8%,藻类和光合细菌为24.1%,淹没/沉没植物为14.9%浮游植物,化石燃料燃烧占23.5%,石油烃占15.7%。此外,寿县和丰台县的化石燃料燃烧中位数相对较高,表明这两个地区的化石燃料燃烧贡献很大。
更新日期:2020-07-15
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