Summer-season streamflow prediction model for the Oldman River Basin (Phase 2)

Reliable monthly and seasonal streamflow predictions are essential for optimal planning of water resources, particularly for reservoir operation and planning applications. In addition, reliable streamflow forecasts can improve the capability of water use efficiency, along with early drought and flood warning, and its importance is rising with climate change, causing more frequent extreme drought events. Current streamflow forecasts in the Oldman River Basin are uncertain. It poses a risk is irrigators relied on them to plan for the next irrigation season.
Our project uses models that rely on input data rather than simulating physical processes and machine learning techniques to develop reliable summer-season streamflow predictions for Waterton and Belly Rivers in Alberta. Further, we study the risks associated with issuing the forecasts earlier in the wintertime. Reliable summer-season forecasts in Alberta can help water managers and stakeholders make better-informed decisions on seasonal water allocation, drought mitigation strategies, and environmental flow management.

Faculty Supervisor:

Evan Davies

Student:

Partner:

Optimal Solutions Ltd

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Alberta

Program: