- Role
- Finalist
- Region
- Winnipeg Schools
- Pronouns
- he/him/his
Aiyaan Faisal
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Project
Assessing the Impacts of Climate Change on Lake Winnipeg’s Evaporation Using Neural Network Models
Project #7313
What comes to mind when you think about the impacts of climate change? You probably think about increased flooding, forest fires, or melting of ice caps. However, one invisible but significant impact is increased evaporation from large lakes, which are used for recreation, fishing, irrigation, and hydropower. In Manitoba, 97% of electricity produced comes from hydropower dams. Climate change threatens this source of energy, by increasing the evaporative loss from reservoirs due to rising temperatures. While evaporative losses currently account for 15-20% of annual storage, inadequate weather data hinders accurate estimates. Deep Neural Networks offer a possible solution to this gap, by allowing us to model the process of evaporation with fewer variables while maintaining accuracy similar to direct measurements of evaporation. My study indicates that under a severe climate change scenario, Lower Lake Winnipeg’s monthly mean evaporation may increase between 12-80%, which has significant implications for hydropower generation.
- Challenge
- Environment and Climate Change
- Category
- Senior
- Type
- Innovation