Salts, grease, organics, pathogens and heavy metals are limiting factors in the management of non-traditional waters. For example, the presence of salts at elevated concentrations in cooling water or municipal water supplies can incur significant costs (e.g., through enhanced corrosion or scaling). In agriculture, salts diminish agricultural productivity and pathogens limit the uses due to food safety. The US team’s previous work has shown that structured dynamic models provide a basis for decision-support in the development of management strategies in the water sector. To adapt these tools to conditions relevant to the management of non-traditional waters, we will evaluate temporary and spatially distributed data related to water quality and use, energy intensity of water, power generation, water intensity of crops, unit costs, and tariff structures. The resulting dynamic process models will be used to quantify different scenario indicators (e.g., energy footprint, carbon footprint, life-cycle cost, life-cycle assessment) from the process to the systems level and to critically evaluate the differences in their adoption and results. The case studies used here will be water reuse for: 1) oilfield injection; 2) urban or irrigation purposes.