Machine Learning Approaches to Assessing Future Flood Risk

Add to your list(s) Download to your calendar using vCal

• Robert Rouse, Engineering Department, University of Cambridge
• Friday 13 March 2020, 15:00-16:00
• Seminar Room, Civil Engineering Building, JJ Thomson Avenue 7a..

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.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge University Engineering Department Talks
• Cambridge talks
• Centre for Smart Infrastructure & Construction
• Civil Engineering Talks
• Engineering Department Structures Research Seminars
• Featured lists
• Interested Talks
• School of Technology
• Seminar Room, Civil Engineering Building, JJ Thomson Avenue 7a.
• Trust & Technology Initiative - interesting events
• bld31

Note that ex-directory lists are not shown.