• 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

北大西洋法罗-设得兰群岛海峡深海溢油建模的现状及未来挑战。

Current status of deepwater oil spill modelling in the Faroe-Shetland Channel, Northeast Atlantic, and future challenges.

机构信息

Marine Scotland Science, UK.

Marine Scotland Science, UK.

出版信息

Mar Pollut Bull. 2018 Feb;127:484-504. doi: 10.1016/j.marpolbul.2017.12.002. Epub 2017 Dec 21.

DOI:10.1016/j.marpolbul.2017.12.002
PMID:29475689
Abstract

As oil reserves in established basins become depleted, exploration and production moves towards relatively unexploited areas, such as deep waters off the continental shelf. The Faroe-Shetland Channel (FSC, NE Atlantic) and adjacent areas have been subject to increased focus by the oil industry. In addition to extreme depths, metocean conditions in this region characterise an environment with high waves and strong winds, strong currents, complex circulation patterns, sharp density gradients, and large small- and mesoscale variability. These conditions pose operational challenges to oil spill response and question the suitability of current oil spill modelling frameworks (oil spill models and their forcing data) to adequately simulate the behaviour of a potential oil spill in the area. This article reviews the state of knowledge relevant to deepwater oil spill modelling for the FSC area and identifies knowledge gaps and research priorities. Our analysis should be relevant to other areas of complex oceanography.

摘要

随着已探明油藏的枯竭,勘探和生产活动逐渐转向相对未开发的地区,如大陆架以外的深海。法罗-设得兰海峡(FSC,北大西洋东北部)及其周边地区一直是石油行业关注的焦点。除了极端水深外,该地区的海洋气象条件还具有高浪和大风、强流、复杂的环流模式、急剧的密度梯度以及大中小尺度可变性等特点。这些条件给油污应急响应带来了挑战,也质疑了当前油污模型框架(油污模型及其强迫数据)是否足以充分模拟该地区潜在油污的行为。本文回顾了与 FSC 地区深海溢油建模相关的知识现状,并确定了知识差距和研究重点。我们的分析应该与其他复杂海洋学领域相关。

相似文献

1
Current status of deepwater oil spill modelling in the Faroe-Shetland Channel, Northeast Atlantic, and future challenges.北大西洋法罗-设得兰群岛海峡深海溢油建模的现状及未来挑战。
Mar Pollut Bull. 2018 Feb;127:484-504. doi: 10.1016/j.marpolbul.2017.12.002. Epub 2017 Dec 21.
2
Simulating pathways of subsurface oil in the Faroe-Shetland Channel using an ocean general circulation model.使用海洋环流模型模拟法罗-设得兰海峡的地下石油路径。
Mar Pollut Bull. 2017 Jan 15;114(1):315-326. doi: 10.1016/j.marpolbul.2016.09.041. Epub 2016 Oct 13.
3
Mid-long term oil spill forecast based on logistic regression modelling of met-ocean forcings.基于海气强迫因素的逻辑回归建模的中长期溢油预测。
Mar Pollut Bull. 2019 Sep;146:962-976. doi: 10.1016/j.marpolbul.2019.07.053. Epub 2019 Jul 29.
4
A high-resolution operational forecast system for oil spill response in Belfast Lough.贝尔法斯特湖溢油应急响应的高分辨率业务预报系统。
Mar Pollut Bull. 2017 Jan 15;114(1):302-314. doi: 10.1016/j.marpolbul.2016.09.042. Epub 2016 Oct 3.
5
Efficient tools for marine operational forecast and oil spill tracking.用于海洋业务预报和溢油跟踪的高效工具。
Mar Pollut Bull. 2013 Jun 15;71(1-2):139-51. doi: 10.1016/j.marpolbul.2013.03.022. Epub 2013 Apr 30.
6
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.
7
Increased dispersion of oil from a deep water seabed release by energetic mesoscale eddies.强烈的中尺度涡流导致深海海底释放的石油分散度增加。
Mar Pollut Bull. 2020 Jul;156:111258. doi: 10.1016/j.marpolbul.2020.111258. Epub 2020 May 17.
8
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.
9
Monitoring of Polycyclic Aromatic Hydrocarbons (PAHs) in Scottish Deepwater environments.监测苏格兰深海环境中的多环芳烃 (PAHs)。
Mar Pollut Bull. 2018 Mar;128:456-459. doi: 10.1016/j.marpolbul.2018.01.049. Epub 2018 Feb 6.
10
Enhancing the management response to oil spills in the Tuscany Archipelago through operational modelling.通过运营建模增强托斯卡纳群岛溢油管理应对能力。
Mar Pollut Bull. 2014 Aug 30;85(2):574-89. doi: 10.1016/j.marpolbul.2014.03.021. Epub 2014 Mar 27.

引用本文的文献

1
Response and oil degradation activities of a northeast Atlantic bacterial community to biogenic and synthetic surfactants.东北大西洋细菌群落对生物源和合成表面活性剂的响应及降解活性。
Microbiome. 2021 Sep 21;9(1):191. doi: 10.1186/s40168-021-01143-5.
2
Inter- and Intra-Annual Bacterioplankton Community Patterns in a Deepwater Sub-Arctic Region: Persistent High Background Abundance of Putative Oil Degraders.深水冷温带海域细菌浮游生物群落的年际和年内变化模式:具有较高背景丰度的潜在石油降解菌。
mBio. 2021 Mar 16;12(2):e03701-20. doi: 10.1128/mBio.03701-20.