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菲和屈的诊断比值在识别模拟风化及2013年中石化黄岛管道爆炸事故中严重风化溢油方面的评估

Evaluation of diagnostic ratios of phenanthrenes and chrysenes for the identification of severely weathered spilled oils from the simulation weathering and the Sinopec pipeline explosion at Huangdao, 2013.

作者信息

Han Bin, Zheng Li, Yu Shun

机构信息

Key Laboratory for Marine Bioactive Substances and Modern Analytical Technology, First Institute of Oceanography, State Oceanic Administration Qingdao 266061 China

Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology Qingdao 266071 China.

出版信息

RSC Adv. 2018 Sep 18;8(56):32164-32171. doi: 10.1039/c8ra03154a. eCollection 2018 Sep 12.

Abstract

The composition and physical properties of spilled oil undergo great changes during a serious weathering process. This causes great difficulties for identifying the source of an oil spill. So stable and trustworthy diagnostic ratios (DRs) for the accurate identification of severely weathered spilled oils are very important. An explosion in the Sinopec pipeline happened on November 22, 2013 at Qingdao, China. Local beaches at Jiaozhou Bay were polluted by spilled oils. After the accident we collected original spilled oil samples from an area free from human interference near the oil leakage point. Synchronized with actual beach weathering, laboratory experiments were conducted to simulate oil weathering for 360 days by using the collected original spilled oil samples. Based on the -test and the repeatability limit method, 46 diagnostic ratios (DRs) of phenanthrenes and chrysenes were screened. 18 DRs maintained remarkable stability during the simulated weathering experiments and field weathering process. These stable ratios can retain the characteristics of the oil source during weathering. They are very beneficial for improving the accuracy of identifying the source of severely weathered oil and can be used as an effective supplement to the existing index system for source identification.

摘要

在严重的风化过程中,溢油的成分和物理性质会发生很大变化。这给确定溢油来源带来了很大困难。因此,用于准确识别严重风化溢油的稳定可靠的诊断比率(DRs)非常重要。2013年11月22日,中国青岛中石化管道发生爆炸。胶州湾当地海滩被溢油污染。事故发生后,我们从漏油点附近一个不受人为干扰的区域采集了原始溢油样本。与实际海滩风化同步,利用采集的原始溢油样本进行实验室实验,模拟油风化360天。基于检验和重复性限方法,筛选了菲和屈的46个诊断比率(DRs)。18个DRs在模拟风化实验和现场风化过程中保持了显著的稳定性。这些稳定的比率可以在风化过程中保留油源的特征。它们对于提高识别严重风化油源的准确性非常有益,可作为现有源识别指标体系的有效补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3ef/9086183/8987eeccc010/c8ra03154a-f1.jpg

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