Rapid urbanisation and changing climates are overwhelming our drainage networks. Treatment plants can alter their operation for high flows, but need advanced warning of flows and pollutant loads. Traditional physics based models are too slow to respond, so we need to develop a fast and accurate surrogate.
Artificial Neural Networks are data-driven machine learning models that, whilst slow to train, are exceptionally fast to deploy. They can be trained on measured or synthetic data, using powerful open source tools. An accurate ANN that keeps training whilst it’s used, and can be run multiple times to provide a range of forecasts, would be the perfect surrogate.
The EPSRC's WISE CDT specialises in interdisciplinary research within the water sector, bringing together high power computing and cutting edge water research.
With 200+ members from the Great Western 4 leading research universities, the Water Security Alliance is the UKs largest water research consortium.