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制定用于识别被困在墨西哥湾海滩附近的深水地平线漏油事故残留物的现场测试方案。

Development of a field testing protocol for identifying Deepwater Horizon oil spill residues trapped near Gulf of Mexico beaches.

作者信息

Han Yuling, Clement T Prabhakar

机构信息

Environmental Engineering Program, Department of Civil Engineering, Auburn University, Auburn, Alabama, United States of America.

Department of Civil, Construction and Environmental Engineering, University of Alabama, Tuscaloosa, Alabama, United States of America.

出版信息

PLoS One. 2018 Jan 12;13(1):e0190508. doi: 10.1371/journal.pone.0190508. eCollection 2018.

Abstract

The Deepwater Horizon (DWH) accident, one of the largest oil spills in U.S. history, contaminated several beaches located along the Gulf of Mexico (GOM) shoreline. The residues from the spill still continue to be deposited on some of these beaches. Methods to track and monitor the fate of these residues require approaches that can differentiate the DWH residues from other types of petroleum residues. This is because, historically, the crude oil released from sources such as natural seeps and anthropogenic discharges have also deposited other types of petroleum residues on GOM beaches. Therefore, identifying the origin of these residues is critical for developing effective management strategies for monitoring the long-term environmental impacts of the DWH oil spill. Advanced fingerprinting methods that are currently used for identifying the source of oil spill residues require detailed laboratory studies, which can be cost-prohibitive. Also, most agencies typically use untrained workers or volunteers to conduct shoreline monitoring surveys and these worker will not have access to advanced laboratory facilities. Furthermore, it is impractical to routinely fingerprint large volumes of samples that are collected after a major oil spill event, such as the DWH spill. In this study, we propose a simple field testing protocol that can identify DWH oil spill residues based on their unique physical characteristics. The robustness of the method is demonstrated by testing a variety of oil spill samples, and the results are verified by characterizing the samples using advanced chemical fingerprinting methods. The verification data show that the method yields results that are consistent with the results derived from advanced fingerprinting methods. The proposed protocol is a reliable, cost-effective, practical field approach for differentiating DWH residues from other types of petroleum residues.

摘要

“深水地平线”(DWH)事故是美国历史上最大的漏油事件之一,污染了墨西哥湾(GOM)沿岸的多个海滩。泄漏的残留物仍在继续沉积在其中一些海滩上。追踪和监测这些残留物去向的方法需要能够将DWH残留物与其他类型的石油残留物区分开来的途径。这是因为,从历史上看,天然渗漏和人为排放等来源释放的原油也在GOM海滩上沉积了其他类型的石油残留物。因此,确定这些残留物的来源对于制定有效的管理策略以监测DWH漏油事件的长期环境影响至关重要。目前用于识别漏油残留物来源的先进指纹识别方法需要详细的实验室研究,这可能成本过高。此外,大多数机构通常使用未经培训的工人或志愿者进行海岸线监测调查,这些工人无法使用先进的实验室设施。此外,对重大漏油事件(如DWH漏油事件)后收集的大量样本进行常规指纹识别是不切实际的。在本研究中,我们提出了一种简单的现场测试方案,该方案可以根据DWH漏油残留物独特的物理特征来识别它们。通过对各种漏油样本进行测试,证明了该方法的稳健性,并使用先进的化学指纹识别方法对样本进行表征来验证结果。验证数据表明,该方法产生的结果与先进指纹识别方法得出的结果一致。所提出的方案是一种可靠、经济高效、实用的现场方法,用于区分DWH残留物与其他类型的石油残留物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2704/5766100/6e001ebc7454/pone.0190508.g001.jpg

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