...
首页> 外文期刊>Geochemical Transactions >A new model for the biodegradation kinetics of oil droplets: application to the Deepwater Horizon oil spill in the Gulf of Mexico
【24h】

A new model for the biodegradation kinetics of oil droplets: application to the Deepwater Horizon oil spill in the Gulf of Mexico

机译:油滴生物降解动力学的新模型:在墨西哥湾的Deepwater Horizo​​n溢油中的应用

获取原文

摘要

Oil biodegradation by native bacteria is one of the most important natural processes that can attenuate the environmental impacts of marine oil spills. Existing models for oil biodegradation kinetics are mostly for dissolved oil. This work developed a new mathematical model for the biodegradation of oil droplets and applied the model to estimate the time scale for oil biodegradation under conditions relevant to the Deepwater Horizon oil spill in the Gulf of Mexico. In the model, oil is composed of droplets of various sizes following the gamma function distribution. Each oil droplet shrinks during the microbe-mediated degradation at the oil-water interface. Using our developed model, we find that the degradation of oil droplets typically goes through two stages. The first stage is characterized by microbial activity unlimited by oil-water interface with higher biodegradation rates than that of the dissolved oil. The second stage is governed by the availability of the oil-water interface, which results in much slower rates than that of soluble oil. As a result, compared to that of the dissolved oil, the degradation of oil droplets typically starts faster and then quickly slows down, ultimately reaching a smaller percentage of degraded oil in longer time. The availability of the water-oil interface plays a key role in determining the rates and extent of degradation. We find that several parameters control biodegradation rates, including size distribution of oil droplets, initial microbial concentrations, initial oil concentration and composition. Under conditions relevant to the Deepwater Horizon spill, we find that the size distribution of oil droplets (mean and coefficient of variance) is the most important parameter because it determines the availability of the oil-water interface. Smaller oil droplets with larger variance leads to faster and larger extent of degradation. The developed model will be useful for evaluating transport and fate of spilled oil, different remediation strategies, and risk assessment.
机译:天然细菌对石油的生物降解是最重要的自然过程之一,可以减轻海洋溢油对环境的影响。现有的油生物降解动力学模型主要是溶解油。这项工作为油滴的生物降解开发了一个新的数学模型,并应用该模型来估计与墨西哥湾“深水地平线”溢油有关的条件下石油生物降解的时间尺度。在该模型中,油由遵循伽马函数分布的各种大小的液滴组成。在微生物介导的降解过程中,每个油滴都会在油水界面收缩。使用我们开发的模型,我们发现油滴的降解通常经历两个阶段。第一阶段的特征是微生物活动不受油水界面的限制,具有比溶解油高的生物降解速率。第二阶段是由油水界面的可用性决定的,这导致速率比可溶性油慢得多。结果,与溶解的油相比,油滴的降解通常开始更快,然后迅速减慢,最终在更长的时间内达到较小百分比的降解油。水油界面的可用性在确定降解速率和降解程度方面起着关键作用。我们发现几个参数控制着生物降解速率,包括油滴的大小分布,初始微生物浓度,初始油浓度和组成。在与“深水地平线”溢油有关的条件下,我们发现油滴的大小分布(均值和方差系数)是最重要的参数,因为它决定了油水界面的可用性。具有较大变化的较小油滴会导致降解速度越来越快。开发的模型将有助于评估溢油的运输和命运,不同的补救策略以及风险评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号