Water managers rely on streamflow data to allocate water resources, define the dilution potential of catchments, set ecological streamflow limits, and ensure sustainable watershed planning. However, many streams do not have observed streamflow data and water managers must depend on the streamflow estimates from various prediction models. The two primary modeling strategies for predicting streamflow response in ungaged basins are: deterministic physically-based models–i.e. using regression models to transfer hydrologic information from gaged to ungaged basins - and statistical regionalization –i.e. using regression models to transfer hydrologic information from gaged to ungaged basins.
Summary
Water managers rely on streamflow data to allocate water resources, define the dilution potential of catchments, set ecological streamflow limits, and ensure sustainable watershed planning. However, many streams do not have observed streamflow data and water managers must depend on the streamflow estimates from various prediction models. The two primary modeling strategies for predicting streamflow response in ungaged basins are: deterministic physically-based models–i.e. using regression models to transfer hydrologic information from gaged to ungaged basins - and statistical regionalization–i.e. using regression models to transfer hydrologic information from gaged to ungaged basins.