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Abstract：
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.
摘要：
分析了典型煤矿区的54种地表沉积物中的前列腺素，使用气相色谱-质谱（GC-MS）的植烷和C8-C40正构烷烃。空间分布,研究了脂肪烃的同源谱和来源解析。双峰分布模式，以C16-C20和C27-C33正构烷烃为中心，在所有沉积物样品中都观察到低分子量同系物的明显优势。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，贡献占60.8%，不同来源的贡献估计如下:陆地高等植物为21.8%，藻类和光合细菌占24.1%，淹没/漂浮大型植物为14.9%，化石燃料燃烧占23.5%，石油烃占15.7%。此外，寿县和凤台县观察到相对较高的化石燃料燃烧中值浓度，表明化石燃料燃烧在这两个地区的高贡献。
