Now showing items 1-4 of 4

  • CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation 

    Guidolin, Michele; Duncan, Andrew; Ghimire, Bidur; Gibson, Mike; Keedwell, Edward; Chen, Albert S.; Djordjevic, Slobodan; Savic, Dragan (IWA (International Water Association), 2012-07-20)
    A recent trend in the development of flood simulation algorithms shows the move toward fast simplified models instead of slow full hydrodynamic models. CADDIES is a research project that aims to develop a real/near-real ...
  • Comparison of machine learning classifier models for bathing water quality exceedances in UK 

    Duncan, Andrew; Tyrrell, Deborah; Smart, Nicholas; Keedwell, Edward; Djordjevic, Slobodan; Savic, Dragan (IAHR (International Association for Hydro-Environment Engineering and Research), 2013)
    The revised Bathing Water Directive (rBWD) (2006/7/EC) of the European Parliament requires monitoring of bathing water quality and, if early-warnings are provided to the public, it is permissible to discount a percentage ...
  • Early Warning System for Bathing Water Quality 

    Duncan, Andrew; Keedwell, Edward; Djordjevic, Slobodan; Savic, Dragan (Defra, UK, 2013)
    Poster describing use of Artificial Neural Networks (ANN) in a Receiver-Operating Characteristic (ROC) scenario to predict bathing water quality exceedances at beaches in the SW UK.
  • Machine Learning-Based Early Warning System for Urban Flood Management 

    Duncan, Andrew; Keedwell, Edward; Djordjevic, Slobodan; Savic, Dragan (University of Exeter, 2013)
    With the growth in urban population and other pressures, such as climate change, the impact and severity of urban flood events are likely to continue to increase. “Intelligent water networks” are viewed as the way forward ...