Published Date: 15/06/2020
This research aims to understand the potential for prediction, the implications of climate change, and potential for better management, through a process of literature review, data collation and analysis, and the investigation of predictive methods. A literature review provided the background for the development of an approach and tools. Data collected from the steering group were analysed. A predictive tool was developed, using the method of Support Vector Machine/Regression. The support vector regression model appears to be a reasonable method with which to analyse the multi-parameter interactions that are likely to govern algal blooms. There is an offset in predictions at present which limits the immediate usefulness of the model, which would make predictions ‘too late’ to be useful. This may be a reflection of the limited dataset, particularly if there are parameters (features) which we don’t have data for, but that may be significant to algal blooms.