| With the objective of developing an early flood warning system for the Glenmore Reservoir in the Elbow watershed, an Artificial Neural Network (ANN) model was developed to predict streamflows in the Elbow River. Artificial Neural Networks (ANN) provide a potentially useful framework for modelling complex non-linear and dynamic systems, including the complex hydrologic processes that influence strearnflows and flood events. The resulting ANN prediction tool then forms the core of the early flood warning system. Real-time measurements of flows, temperatures and precipitation in the Elbow watershed during preceding days are used as inputs to the prediction model.; The optimal ANN model recommended for the early warning system is the result of a thorough investigation of multiple design approaches, including the dual ANN framework.; The core elements of the early warning system attained through this study are improved warning time, prediction of streamflows (addressed with the ANN model) and the identification of an appropriate action to mitigate the predicted flood event. (Abstract shortened by UMI.)... |
