Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations

1. 1Identify the complexities of groundwater modeling and the limitations of traditional theory-based models
2. 2Explore the potential of data-driven models, particularly deep learning, for spatio-temporal groundwater level prediction
3. 3Develop and evaluate pure and physics-guided deep learning solutions for predicting groundwater levels at arbitrary locations
4. 4Analyze the performance of these solutions and compare them to traditional models

Data scientists and researchers on a team can benefit from this study as it provides insights into using deep learning for groundwater level prediction, which can inform decision-making and policy development

💡 Deep learning can be an effective approach for predicting groundwater levels, especially when combined with physical guidance

🌟 Deep learning for groundwater level prediction! 🌎