Land use change

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.

A calibrated watershed model(HSPF) was used to simulate water flows and water quality changes and validated using field data. Regional built-out scenarios of LULC changes were used to assess watershed wide impacts.

Downscaled regional projections from Global Climate Model (GCM) models and a regional built out scenarios of LULC are used to assess the synergistic impacts of projected LULC and climate change. The results indicate that the simultaneous changes in LULC and climate significantly affect the water resources in the SuAsCo river watershed.