Funding bodies: Engineering and Physical Science Research Council (EPSRC).

The main aim of the CADDIES project is to produce better algorithms for handling dual drainage flood modelling, i.e where the urban surface flow (major system) is combined with the sewer flow (minor system). This will be achieved by executing a novel mapping from an emerging theoretical field of AI (cellular automata) to this practical application.

The detailed objectives are:

• To develop a reduced-complexity, 2D cellular model that adequately addresses the problem of rapid urban flood modelling for uncertainty/risk assessment or real/near-real time modelling.
• To develop a rapid and accurate reduced-complexity 1D sewer flow simulator capable of taking into account backwater and surcharging effects that can be effectively integrated with the reduced complexity 2D surface flow model.
• To produce a unified cellular framework by which 1D sewer and 2D surface flow models can be integrated in such a way as to allow the dynamic interaction between two flows to be captured for rapid and accurate urban flood modelling.
• To implement this framework, test a number of complexity reduction approaches, compare its results to those of the state-of-the-art coupled 1D/2D (‘gold standard’) models, and verify the new methodologies on a number of case studies, ranging from literature problems with known solutions to real-world case studies (e.g., Torbay, Bradford, etc.).