ClearSeas

核电站和海水淡化厂等工业带来大量的海水用于冷却或加工。这使得它们很容易受到“严重的海洋入侵事件”的影响，在这些事件中，海藻、水母甚至成群结队的鱼类会阻止它们的摄入，导致植物停工。对于核电站来说，每次事故造成的经济损失可能高达数百万英镑。该项目的客户法国电力公司（EDF Energy）已经意识到，他们无法预测此类事件是一个日益严重的问题。事实上，在气候变化的压力下，任何严重海洋入侵事件的增加，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 Energy和其他依赖海水注入的行业目前没有办法预测海洋来源的堵塞，必须被动而不是主动地进行操作。在过去的10年里，EDF在英国和法国的电站发生了超过100次严重的进水事件，这种无法预测事件的能力已经被证明在防止关闭和减轻相关经济损失方面是无效的。该项目的目的是调查显示海洋表面温度和海洋颜色的时间序列卫星图像的潜力，以调查严重入侵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进入事件的数据，该项目还将使用渔船位置数据，以类似于全球定位系统数据的方式，定位渔船队，并与已知的进入事件进行比较。最终目标是为EDF集团在英国和法国的沿海发电站提供一个严重海洋入侵（海藻、水母和鱼类）事件的早期预警系统。

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.