The objective of this study is to have a tool that can predict water quality under global change scenarios and that is able to assess trade-offs and synergies between the food-energy-water-environment nexus. In this project we aim to tackle this by 1) model integration considering water quality and food and energy production using an integrated model composed by (SWAT+ (linking agriculture-water-environment) 2) model application for water quality simulation at small to global scales using SWAT+ and model evaluation using local and global datasets for flow data, water quality data, crop yields including remote sensing products 3) multi-sectoral analysis including trade-offs within the foodenergy-water-environment nexus for different ISIMIP scenarios climate and land cover scenarios through improved reservoir representation and reservoir management optimisation.