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Cluster-Based Hydrologic Prediction Using Genetic Algorithm-Trained Neural Networks
Publisher: American Society of Civil Engineers
Abstract: Most hydrological processes are nonlinear in nature. Although there have been many successful applications of artificial neural networks (ANNs) to capture these nonlinear relationships, there are cases when ANNs have not ...
Probabilistic Approach for Design and Hydrologic Performance Assessment of Reconstructed Watersheds
Publisher: American Society of Civil Engineers
Abstract: The oil sands mining industry in Canada has made a commitment to reclaim mining areas to an equivalent capability to that which existed prior to mining. An essential requirement in the design of reclamation covers to meet ...
Methodology for pH Total Maximum Daily Loads: Application to Beech Creek Watershed
Publisher: American Society of Civil Engineers
Abstract: This paper presents a methodology for developing total maximum daily loads (TMDLs) for pH impaired streams that characterizes the pH impact in terms of an associated hydrogen ion load. Because pH and an equivalent ion load ...
Quantile-Based Downscaling of Precipitation Using Genetic Programming: Application to IDF Curves in Saskatoon
Publisher: American Society of Civil Engineers
Abstract: Intensity-duration-frequency (IDF) curves are commonly used in engineering planning and design. Considering the possible effects of climate change on extreme precipitation, it is crucial to analyze potential variations in ...
Toward Simple Modeling Practices in the Complex Canadian Prairie Watersheds
Publisher: ASCE
Abstract: The prairie region in Canada has been characterized as a graveyard of hydrological models due to its challenging cold-regions processes and complex landscape with numerous land depressions that influence runoff pathways. ...
Integrating Supply Uncertainties from Stochastic Modeling into Integrated Water Resource Management: Case Study of the Saskatchewan River Basin
Publisher: American Society of Civil Engineers
Abstract: A warming climate and land management intensification have altered water supply characteristics in many regions of the world. Incorporation of water supply uncertainties into long-term water resources planning and management ...
Performance Evaluation of Artificial Neural Networks for Runoff Prediction
Publisher: American Society of Civil Engineers
Abstract: Spring runoff prediction in the Red River Valley, southern Manitoba, Canada, is an important issue because of the devastating effect of the flood of 1997 in that area. Increasing the accuracy of the prediction process is ...
Integrating Supply Uncertainties from Stochastic Modeling into Integrated Water Resource Management: Case Study of the Saskatchewan River Basin
Publisher: American Society of Civil Engineers
Abstract: A warming climate and land management intensification have altered water supply characteristics in many regions of the world. Incorporation of water supply uncertainties into long-term water resources planning and management ...
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