Now showing items 1-10 of 10

  • 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 ...
  • Design of a graphical framework for simple prototyping of pluvial flooding cellular automata algorithms 

    Guidolin, Michele; Duncan, Andrew; Keedwell, Edward; Chen, Albert S.; Djordjevic, Slobodan; Savic, Dragan (Centre for Water Systems, University of Exeter, 2011)
    Cellular automata (CA) algorithms can be used for quickly describing models of complex systems using simple rules. CADDIES is a new EPSRC and industry-sponsored project that aims to use the computational speed of CA ...
  • 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.
  • Hydrological Applications of Artificial Neural Networks 

    Duncan, Andrew (University of Exeter, 2010-09-10)
    This paper looks at two example applications of Artificial Neural Networks (ANNs) to hydrology. The first implements a Multi-Layer Perceptron (MLP) to correct flow-rate simulations from the WRIP simulator ...
  • Intelligent urban water infrastructure management 

    Savic, Dragan; Bicik, Josef; Morley, Mark S.; Duncan, Andrew; Kapelan, Zoran; Djordjevic, Slobodan; Keedwell, Edward (Indian Institute of Science, 2013)
    Urban population growth together with other pressures, such as climate change, create enormous challenges to provision of urban infrastructure services, including gas, electricity, transport, water, etc. Smartgrid technology ...
  • 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 ...
  • RAPIDS: Early Warning System for Urban Flooding and Water Quality Hazards 

    Duncan, Andrew; Chen, Albert S.; Keedwell, Edward; Djordjevic, Slobodan; Savic, Dragan (2013)
    This paper describes the application of Artificial Neural Networks (ANNs) as Data Driven Models (DDMs) to predict urban flooding in real-time based on weather radar and/or raingauge rainfall data. A time-lagged ANN is ...
  • Urban flood prediction in real-time from weather radar and rainfall data using artificial neural networks 

    Duncan, Andrew; Chen, Albert S.; Keedwell, Edward; Djordjevic, Slobodan; Savic, Dragan (International Association of Hydrological Sciences, 2011)
    This paper describes the application of ANNs (Artificial Neural Networks) as DDMs (Data Driven Models) to predict urban flooding in real-time based on BADC weather radar and/or rainfall data. A 123-manhole combined sewer ...
  • Urban pluvial flood modelling with real time rainfall information – UK case studies 

    Schellart, Alma; Ochoa, Susana; Simoes, Nuno; Wang, Li-Pen; Rico-Ramirez, Miguel; Liguori, Sara; Duncan, Andrew; Chen, Albert S.; Keedwell, Edward; Djordjevic, Slobodan; Savic, Dragan; Saul, Adrian; Maksimovic, Cedo (IWA (International Water Association), 2011)
    In order to effectively prevent, mitigate and manage urban pluvial flooding, it is necessary to accurately model and predict the spatial and temporal distribution of both rainfall and surface flooding. A number of different ...