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采用分层方法区分汽油和柴油泄漏源。

A tiered approach to distinguish sources of gasoline and diesel spills.

机构信息

Stantec Consulting Ltd., Saskatoon, Saskatchewan S7K 0K3, Canada.

Stantec Consulting Ltd., Saskatoon, Saskatchewan S7K 0K3, Canada.

出版信息

Sci Total Environ. 2014 Jul 15;487:452-62. doi: 10.1016/j.scitotenv.2014.04.043. Epub 2014 May 4.

Abstract

Approximately 11% and 25% of annual Canadian oil spill accidents are gasoline and diesel spills, respectively. Gasoline and diesel spills are a challenge to conventional environmental forensic techniques because refinery processes remove most of the higher molecular weight biomarkers. This study presents a tiered environmental forensics strategy that includes such information as site operational history, geology/hydrogeology, GC/FID pre-screening, volatile GC/MS, semi-volatile GC/MS, and GC/MS selected ion monitoring (SIM) chromatograms for fingerprinting of gasoline and diesel spills. GC/FID pre-screening analysis identified the presence of two individual gasoline and diesel plumes at a fuel service station (study site). The gasoline plume is present between the upgradient fuel underground storage tanks (USTs) and the downgradient diesel plume, suggesting that the diesel impacts to groundwater may not be originated from the current UST leakage. Similar distribution of C3-alkylbenzenes (the most stable chemicals in gasoline) and the consistent diagnostic ratios of the analyte pairs with similar solubility indicate that the source for the dissolved gasoline constituents in the gasoline impacted zone likely originated from a gasoline leakage from the current USTs on the study site. In the diesel impacted zone, the distinct distribution and diagnostic ratios of sesquiterpanes (biomarkers for diesel) and alkylated PAHs confirm that the diesel plume originate from different crude oil sources than the current USTs.

摘要

大约 11%和 25%的加拿大年度溢油事故分别是汽油和柴油溢油事故。由于炼油过程会去除大部分高分子量的生物标志物,因此汽油和柴油溢油对常规环境法医技术构成了挑战。本研究提出了一种分层环境取证策略,其中包括现场操作历史、地质/水文地质学、GC/FID 预筛选、挥发性 GC/MS、半挥发性 GC/MS 和用于汽油和柴油溢油指纹识别的 GC/MS 选择离子监测 (SIM) 色谱图等信息。GC/FID 预筛选分析在燃料服务站(研究地点)识别出两个单独的汽油和柴油羽流的存在。汽油羽流位于上梯度燃料地下储油罐 (UST) 和下梯度柴油羽流之间,这表明地下水的柴油影响可能不是源自当前的 UST 泄漏。C3-烷基苯(汽油中最稳定的化学物质)的相似分布以及具有相似溶解度的分析物对的一致诊断比表明,受汽油影响区域中溶解的汽油成分的来源可能源自当前 UST 上的汽油泄漏。在柴油影响区域,倍半萜烷(柴油的生物标志物)和烷基化多环芳烃的明显分布和诊断比证实柴油羽流源自与当前 UST 不同的原油来源。

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