Hydrological Forecasting Using AI

Hydrological Forecasting Using AI is a research topic within Environmental Engineering. Science Explorer counts 18k research works in it since 1951. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of machine learning methods, such as artificial neural networks, support vector machines, and wavelet analysis, in hydrological modeling and forecasting for water resources management. The papers cover topics including rainfall-runoff modeling, groundwater level forecasting, river flow prediction, and water quality modeling.

• Machine Learning
• Hydrology
• Forecasting
• Artificial Neural Networks
• Water Resources
• Rainfall-Runoff Modeling
• Support Vector Machines
• Wavelet Analysis
• Model Performance
• Groundwater Level Forecasting