The objectives of MEDSAL are achieved through an integrated approach of research and demonstration activities, combining methods from the disciplines of hydrogeology, hydrogeochemistry, data science, and informatics including artificial intelligence and integrated water resources management.

The methodology encompasses innovative monitoring and environmental isotope methods for the detection and characterization of multi-source salinization, a combination of groundwater flow and transport modeling tools specially adapted to data availability and hydrogeology of the Mediterranean coast.

All methods are combined with newly developed artificial intelligence tools for spatial analysis, data aggregation, and deep learning to detect patterns in complex multi-dimensional hydrogeochemical environments. Finally, findings of monitoring and modeling are used for environmental risk assessment and integrated into water resources management.