• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

预测燃油和油类泄漏的风化:扩散限制蒸发模型。

Predicting the weathering of fuel and oil spills: A diffusion-limited evaporation model.

机构信息

Department of Earth and Planetary Sciences and Macquarie University Marine Research Centre, Macquarie University, North Ryde, NSW, 2109, Australia.

Department of Earth and Planetary Sciences and Macquarie University Marine Research Centre, Macquarie University, North Ryde, NSW, 2109, Australia.

出版信息

Chemosphere. 2018 Jan;190:442-453. doi: 10.1016/j.chemosphere.2017.09.142. Epub 2017 Sep 29.

DOI:10.1016/j.chemosphere.2017.09.142
PMID:29028599
Abstract

The majority of the evaporation models currently available in the literature for the prediction of oil spill weathering do not take into account diffusion-limited mass transport and the formation of a concentration gradient in the oil phase. The altered surface concentration of the spill caused by diffusion-limited transport leads to a slower evaporation rate compared to the predictions of diffusion-agnostic evaporation models. The model presented in this study incorporates a diffusive layer in the oil phase and predicts the diffusion-limited evaporation rate. The information required is the composition of the fluid from gas chromatography or alternatively the distillation data. If the density or a single viscosity measurement is available the accuracy of the predictions is higher. Environmental conditions such as water temperature, air pressure and wind velocity are taken into account. The model was tested with synthetic mixtures, petroleum fuels and crude oils with initial viscosities ranging from 2 to 13,000 cSt. The tested temperatures varied from 0 °C to 23.4 °C and wind velocities from 0.3 to 3.8 m/s. The average absolute deviation (AAD) of the diffusion-limited model ranged between 1.62% and 24.87%. In comparison, the AAD of a diffusion-agnostic model ranged between 2.34% and 136.62% against the same tested fluids.

摘要

目前文献中大多数用于预测溢油风化的蒸发模型都没有考虑扩散限制的质量传输和油相浓度梯度的形成。扩散限制传输引起的溢油表面浓度的改变导致蒸发速率比扩散不可知的蒸发模型预测的要慢。本研究提出的模型在油相中包含一个扩散层,并预测扩散限制的蒸发速率。所需的信息是来自气相色谱的流体组成或者替代蒸馏数据。如果可以获得密度或单一粘度测量值,则预测的准确性更高。还考虑了环境条件,如水温和气压以及风速。该模型用合成混合物、石油燃料和原油进行了测试,初始粘度范围为 2 至 13,000 cSt。测试温度范围为 0°C 至 23.4°C,风速范围为 0.3 至 3.8 m/s。扩散限制模型的平均绝对偏差(AAD)范围在 1.62%至 24.87%之间。相比之下,针对相同测试流体,扩散不可知模型的 AAD 范围在 2.34%至 136.62%之间。

相似文献

1
Predicting the weathering of fuel and oil spills: A diffusion-limited evaporation model.预测燃油和油类泄漏的风化:扩散限制蒸发模型。
Chemosphere. 2018 Jan;190:442-453. doi: 10.1016/j.chemosphere.2017.09.142. Epub 2017 Sep 29.
2
A model for the weathering of Colombian crude oils in the Colombian Caribbean Sea.哥伦比亚加勒比海域哥伦比亚原油风化模型。
Mar Pollut Bull. 2017 Dec 15;125(1-2):367-377. doi: 10.1016/j.marpolbul.2017.09.028. Epub 2017 Sep 30.
3
An oil spill decision matrix in response to surface spills of various bitumen blends.应对各种沥青混合物表面泄漏的溢油决策矩阵。
Environ Sci Process Impacts. 2017 Jul 19;19(7):928-938. doi: 10.1039/c7em00118e.
4
Modeling oil weathering and transport in sea ice.模拟海冰中的石油风化和输运。
Mar Pollut Bull. 2016 Jun 15;107(1):206-215. doi: 10.1016/j.marpolbul.2016.03.070. Epub 2016 Apr 27.
5
Improving oil spill trajectory modelling in the Arctic.改进北极溢油轨迹模型。
Mar Pollut Bull. 2019 Mar;140:65-74. doi: 10.1016/j.marpolbul.2019.01.019. Epub 2019 Jan 19.
6
Synergistic use of an oil drift model and remote sensing observations for oil spill monitoring.利用油膜漂移模型和遥感观测协同进行溢油监测。
Environ Sci Pollut Res Int. 2017 Feb;24(6):5530-5543. doi: 10.1007/s11356-016-8214-8. Epub 2016 Dec 27.
7
A data-driven framework for defining stages of oil weathering.基于数据驱动的石油风化阶段定义框架。
Mar Pollut Bull. 2020 May;154:111091. doi: 10.1016/j.marpolbul.2020.111091. Epub 2020 Mar 30.
8
DBWM: A diluted bitumen weathering model.DBWM:一种稀释沥青风化模型。
Mar Pollut Bull. 2022 Feb;175:113372. doi: 10.1016/j.marpolbul.2022.113372. Epub 2022 Feb 1.
9
Marine oil spill detection using Synthetic Aperture Radar over Indian Ocean.利用合成孔径雷达在印度洋探测海洋溢油。
Mar Pollut Bull. 2021 Jan;162:111921. doi: 10.1016/j.marpolbul.2020.111921. Epub 2020 Dec 17.
10
Fingerprint and weathering characteristics of stranded oils after the Hebei Spirit oil spill.搁浅油指纹特征与风化特性研究——以“冀东油田 30 号”溢油事故为例
J Hazard Mater. 2011 Dec 15;197:60-9. doi: 10.1016/j.jhazmat.2011.09.055. Epub 2011 Sep 17.

引用本文的文献

1
Experimental Study on the Synergistic Effect between Evaporation Weathering and Emulsification of Oil Spills.溢油蒸发风化与乳化协同效应的实验研究
ACS Omega. 2021 Aug 5;6(32):20865-20876. doi: 10.1021/acsomega.1c02171. eCollection 2021 Aug 17.