Groundwater anomalies

With machine learning methods, anomalies in depth to groundwater can be forecast. Catchment geology, climate, and topography have a strong influence on GW changes. Drivers have site-specific influence on long-term groundwater changes. Irrigation pumping has a stronger influence on GW forecasting than land use change.