"Machine Learning for Flood and Drought Forecasting" - Aquanty Webinar
Aquanty has developed a new machine-learning model that can produce highly accurate streamflow forecasts hours or days into the future. We are currently working on integrating these new capabilities into our suite of web-based water decision support tools. As one of the only companies in Canada currently doing this kind of forecasting, we are well positioned to meet a growing need for advanced forecasting tools. ML-based streamflow forecasts are currently available for a small selection of watersheds in southwestern Ontario through Aquanty’s HGSRT web platform.
HGS RESEARCH HIGHLIGHT – Understanding the vulnerability of surface–groundwater interactions to climate change: insights from a Bavarian Forest headwater catchment
This study used HydroGeoSphere to evaluate the impact of climate change on streamflow and water availability within a small forested catchment in South-East Germany. Climate forecasts in the region predict a significant decrease in precipitation over the coming decades. Based on integrated hydrologic modelling of the catchment, this forecasted decline in precipitation combined with a relatively steady rate of evapotranspiration (compared to the historical period) will result in prolonged drought conditions, which in turn will result in declining groundwater levels, decreased baseflow to the upstream reaches of the stream network.
Water Forecasting Platform Soon to be Launched for the Pembina River Valley
Aquanty is proud to announce that we’re launching a new project in partnership with the Pembina Valley Watershed District (PVWD) and Manitoba Forage and Grassland Association (MFGA) to launch a new hydrologic forecasting platform for the Pembina River Valley.