Machine learning for predicting water flow intensity based on physical characteristics of catchment area
Summary
Data-driven AI model for predicting water flow intensity using spatial maps and temporal inputs (rainfall, temperature) to address flooding risks from climate change. Uses U-Net architecture. Pre-study for better predictive models.
Themes
Keywords
water flow prediction, flooding, climate change, U-Net, spatial modeling
Poster
Click image to open full size