ClearSeas

核电站和海水淡化厂等工业需要大量海水进行冷却或处理。这使得它们很容易受到“严重的海洋入侵事件”的影响，海藻、水母甚至鱼群都会堵塞进水口，导致工厂关闭。对于核电站来说，这些关闭的财务影响可能会达到数百万英镑。EDF能源公司，这个范围界定项目的客户，已经确定他们无法预测这些事件作为一个越来越重要的问题。事实上，在气候变化的压力下，严重的海洋入侵事件的任何增加不仅会加剧累积的经济损失，而且还会减少国家电网的能源供应。EDF能源和其他依赖海水摄入的行业目前还没有方法来预测海洋来源的堵塞，必须被动而不是主动地运作。在过去10年中，在英国和法国的EDF电站记录了100多起严重的进水事件，事实证明，这种无法预测事件的情况在防止关闭和减轻相关财务损失方面是无效的。该项目的目标是研究是否有可能制作一系列显示海面温度和海洋颜色的卫星图像，以研究严重侵入事件期间发生的情况。EDF集团将提供英国和法国沿海核电站历史性侵入事件的数据。该项目还将使用渔船位置数据，以类似于GPS数据的方式，确定渔船的位置，并与已知的侵入事件进行比较。最终目的是为严重的海洋侵入提供预警系统。法国电力集团（EDF Group）在英国和法国的沿海发电站发生的海藻、水母和鱼类污染事件。

Industries such as nuclear power stations and desalination plants bring in huge volumes of sea water for cooling or processing. This makes them vulnerable to 'severe marine ingress events' where seaweed, jellyfish or even schooling fish block intake and cause plant shutdown. For nuclear power plants, the financial implications of these shutdowns can run into millions of pounds per incident. EDF Energy, the client for this scoping project, has identified their inability to predict such events as an increasingly significant problem. Indeed, under climate change pressures, any increases in severe marine ingress events will not only compound cumulative financial loss, but also reduce energy availability to the national grid. EDF Energy and other industries relying on seawater intake currently have no methods in place to predict blockages from marine sources and must operate reactively rather than proactively. With over 100 recorded severe intake events at EDF stations across the UK and France over the past 10 years, this inability to predict events has proved to be ineffectual at preventing shutdowns and mitigating the associated financial losses. The objective of this project is to investigate the potential for a time series of satellite images showing sea-surface temperature and the colour of the sea to investigate the conditions that occur during sever ingress events. EDF Group will provide data on historic ingress events at coastal nuclear power stations in the UK and France The project will also use fishing vessel location data, in a similar manner to GPS data, to locate the fishing fleet and compare with known ingress events.The ultimate aim is to provide an early warning system for severe marine ingress (seaweed, jellyfish and fish) events at EDF Group's coastal power stations in the UK and France.