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ADVANCED CHEMICAL FINGERPRINTING FOR OIL SPILL IDENTIFICATION AND NATURAL RESOURCE DAMAGE ASSESSMENTS

机译:用于溢油识别和自然资源损伤评估的先进化学指纹识别

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For petroleum fingerprinting in support of natural resource damage assessments (NRDA) and other regulatory and litigation-driven scientific studies, the state of the art now focuses on polycyclic aromatic hydrocarbons (PAH) and saturated biomarker analyses, coupled with ratio and/or principal component analysis techniques, for advanced chemical fingerprinting (ACF) and allocation of petroleum mixtures to multiple sources. This strategy is being applied to oil spills, in-ground petroleum releases, and coal tar-petroleum source differentiation scenarios. The National Oceanic and Atmospheric Administration's (NOAA) draft injury guidance on NRDA recommends the application of ACF to oil spill assessments under the Oil Pollution Act of 1990.
机译:对于支持自然资源损伤评估(NRDA)和其他监管和诉讼驱动的科学研究的石油指纹识别,现有技术现在专注于多环芳烃(PAH)和饱和生物标志物分析,与比例和/或主要成分相结合分析技术,用于高级化学指纹识别(ACF)和石油混合物将石油混合物分配给多种来源。该策略正在应用于漏油,地面石油释放和煤焦油源分化方案。国家海洋和大气管理局(NOAA)对NRDA的伤害指导建议根据“1990年石油污染法”申请ACF对漏油泄漏评估。

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