CIRIA Ref:
NERC Ref:
Start Date:
59
NE/R005591/1
2018-01-08
Case Study:
Call Year:
End Date:
N/A
2017
Research Institution:
Plymouth Marine Laboratory
Principle Investigator:
Dr Sevrine Sailley
CO Investigator(s):
Stephen Groom, Nick Selmes, Jeremy Blackford
Industry Partners:
EDF Energy
Hazards
Biological
The aim of this innovation project is to develop a methodology for predicting jellyfish blooms and tracking seaweed debris using remote-sensing products before they reach the power plant, preventing plant shutdowns and cutting costs. The habitat modelling and remote sensing techniques will allow the project partner to have a more pro-active approach to these events and reduce the cost of ingress events.
Internal webpage of PML modelling group with a short descritption of JaSS
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