Emergencies Science and Technology Section, Environment and Climate Change Canada, 335 River Rd., Ottawa, K1A0H3, Canada.
Environ Sci Process Impacts. 2019 Mar 20;21(3):413-426. doi: 10.1039/c8em00493e.
Fluorescence spectroscopy analysis of oil and environmental samples collected from four oil spill incidents in Canada-a 2016 pipeline spill into the North Saskatchewan River (NSR), Saskatchewan; a 2015 train derailment in Gogama, Ontario; the 1970 sinking of the SS Arrow ship in Chedabucto Bay, Nova Scotia; and the 1970 sinking of the Irving Whale barge in the Gulf of St. Lawrence-permitted assessment of the PAH content of environmentally weathered samples. A recently developed fluorescence fingerprinting model based on excitation-emission matrix-parallel factor analysis-principal component analysis (EEM-PARAFAC-PCA) was applied to (i) evaluate the intensity of the abundant PAH groups in the samples, (ii) investigate changes in the PAH composition of environmental samples over time due to weathering, and (iii) classify the original spilled oil and environmental samples within the already established classes of the fingerprinting PCA model. The environmental sediment samples collected from the Husky Energy spill site show loss of PAHs occurring over the course of 15 months post-spill. However, the extent of weathering depends on several environmental factors rather than solely the time of weathering, the PAH loss was maximum at 15 months. There was a decrease in the PAH content of the environmental samples of Gogama spill collected 20 months post-spill. Almost all of Gogama environmental sediment samples underwent substantial weathering, making PCA classification impractical. The SS Arrow and Irving Whale samples fell within adjacent PCA groups, as they both had a similar type of spilled oil (Bunker C) with similarity in chemical composition.
对加拿大四起溢油事件(萨斯喀彻温省北萨斯喀彻温河的 2016 年管道溢油事件、安大略省 Gogama 的 2015 年火车脱轨事件、1970 年新斯科舍省 Chedabucto 湾 SS Arrow 号沉船事件和 1970 年圣劳伦斯湾 Irving Whale 驳船沉船事件)中采集的油和环境样本进行荧光光谱分析,以评估环境风化样本中多环芳烃(PAH)的含量。应用一种新开发的基于激发-发射矩阵-平行因子分析-主成分分析(EEM-PARAFAC-PCA)的荧光指纹模型:(i) 评估样品中丰富 PAH 组的强度;(ii) 研究由于风化,环境样品中 PAH 组成随时间的变化;(iii) 在已经建立的指纹 PCA 模型的基础上对原始溢油和环境样本进行分类。从 Husky Energy 溢油现场采集的环境沉积物样本显示,溢油后 15 个月内 PAHs 持续流失。然而,风化的程度取决于几个环境因素,而不仅仅是风化时间,15 个月时 PAH 流失最大。Gogama 溢油 20 个月后采集的环境样本中 PAH 含量下降。Gogama 几乎所有的环境沉积物样本都经历了大量的风化,使得 PCA 分类变得不切实际。SS Arrow 和 Irving Whale 样本位于相邻的 PCA 组内,因为它们都有类似的溢油类型(Bunker C),具有相似的化学成分。