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Hydrologic prediction using pattern recognition and soft-computing techniques
Several studies indicate that the data-driven models have proven to be potentially useful tools in hydrological modeling. Nevertheless, it is a common perception among researchers and practitioners that the usefulness of ...
MODELING AND MANAGEMENT OF WATER QUANTITY AND QUALITY IN COLD-CLIMATE PRAIRIE WATERSHEDS
Saskatchewan’s surface and ground water sources are vital to life in the province, not only as the supply of safe drinking water for the residents, but also as a key driver of economic activity. The Qu'Appelle and Assiniboine ...
Spatial and Temporal Variability in the Water Balance of Oil Sands Mine Reclamation Covers
The oil sands industry in Canada routinely uses soil-vegetation-atmosphere-transfer (SVAT) models, calibrated against short-term (<~10 years) field monitoring data to generate a single set of optimized soil hydraulic ...