W. Shepherd

Predicting combined sewer overflows chamber depth using artificial neural networks with rainfall radar data.

A. Saul, J. Shucksmith, S. Mounce, 2014, Water science and technology : a journal of the International Association on Water Pollution Research.

Spatial and temporal variability of bacterial communities within a combined sewer system

C. Biggs, W. Shepherd, S. Tait, 2016, MicrobiologyOpen.

Influence of rainfall estimation error and spatial variability on sewer flow prediction at a small urban scale

Adrian J. Saul, Alma Schellart, W. J. Shepherd, 2012 .

Quantifying the Performance of Storm Tanks at Wastewater Treatment Works

A. Saul, W. Shepherd, J. Boxall, 2007 .

Future Inspection and Deterioration Prediction Capabilities for Buried Distributed Water Infrastructure

Lewis O. Makana, C. Rogers, N. Metje, 2022, Journal of Pipeline Systems Engineering and Practice.

Comparison between InfoWorks hydraulic results and a physical model of an urban drainage system.

A. Saul, M. Rubinato, J. Shucksmith, 2013, Water science and technology : a journal of the International Association on Water Pollution Research.

Sewer failure analysis using Evolutionary Computing

S. Djordjević, A. Saul, O. Giustolisi, 2006 .

Application of Artificial Neural Networks (ANNs) for the prediction of CSO discharges

Adrian J. Saul, David Hanson, Andreas Kurth, 2008 .

Modelling sewer failure by evolutionary computing

Luigi Berardi, Orazio Giustolisi, Dragan Savic, 2006 .