Machine Learning Approaches to Assessing Future Flood Risk
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If you have a question about this talk, please contact Dr Maria Marques de Carvalho.
In
the face of impending climate change, the need to
understand the impact of extreme weather events is
critical whilst large climate models provide broad
detail, such as large scale patterns in surface
temperature, they can be unsuitable for
understanding regional and localised impact and for
predicting the potential impact of extreme events
A
range of machine learning and artificial intelligence
approaches will be implemented, such as Gaussian
Processes and Neural Networks, as part of an
investigation into whether or not credible predictions
for potential future storm and flood risk scenarios
can be generated through these methodologies
This talk is part of the Engineering Department Structures Research Seminars series.
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