Global S&T Development Trend Analysis Platform of Resources and Environment
项目编号 | NE/N01295X/1 |
Toolkit to improve resilience of critical ports and dependent national supply chain systems against extreme sea level rise (storm surge) events | |
[unavailable] | |
主持机构 | University College London |
项目开始年 | 2016 |
2016-01-31 | |
项目结束日期 | 2017-04-30 |
资助机构 | UK-NERC |
项目类别 | Research Grant |
国家 | 英国 |
语种 | 英语 |
英文摘要 | As a first stage in the analysis of storm surge risks to UK port infrastructure and supply chain operation, this project aims to improve the resilience of the port of Immingham and its critical biomass/coal transport link to power stations. The project includes the following three activities: WF1: To refine and operationalize an innovative artificial neural network (ANN) extreme sea-level prediction model (NE/M008150/1) for application at Immingham (with potential application for other UK ports, especially within estuaries). WF2: To translate predicted surge height and duration to risks to infrastructure (equipment, facilities) and operations (i.e. impacts on biomass/coal flows) through stakeholder engagement. WF3: Incorporate railway infrastructure and freight train movements to UCL's MARS model (used in NE/M008150/1) to predict the cascading impacts on the power sector. |
来源学科分类 | Natural Environment Research |
文献类型 | 项目 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/86018 |
专题 | 环境与发展全球科技态势 |
推荐引用方式 GB/T 7714 | [unavailable].Toolkit to improve resilience of critical ports and dependent national supply chain systems against extreme sea level rise (storm surge) events.2016. |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[[unavailable]]的文章 |
百度学术 |
百度学术中相似的文章 |
[[unavailable]]的文章 |
必应学术 |
必应学术中相似的文章 |
[[unavailable]]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论