GSTDTAP
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.
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