The methods used in this project are based on the sequential application of mathematical simulation models, wherein the results of a model are data input of another model. This approach allows the analysis of future scenarios of water availability in the study area reservoirs, based on climate scenarios defined according to the results of regional climate models. For this purpose climate modeling results are obtained from the EURO-CORDEX program. These results are used as input data for the eco-hydrological model SWAT (Soil and Water Assessment Tool - http://swat.tamu.edu/) used to calculate runoff, as well as sediments and nutrients transport to the surface water bodies.
The results are then used to simulate water balances in the Monte Novo and Vigia reservoirs, balances in which are taken into account the water needs for public supply and irrigation. The application of the CE-Qual-W2 model (http://www.ce.pdx.edu/w2/), a hydrodynamics and water quality model, allows the simulation of the behavior of the two reservoirs, adding the qualitative component to the evaluation of water availability.
Based also on the assessment of water availability, the energy consumption associated with the water transfer from the Alqueva reservoir to the Monte Novo and Vigia reservoirs is also evaluated, system which has been essential to secure the necessary storage volumes to satisfy all water needs.
The GestAqua.AdaPT also includes hydrometric and water quality monitoring of the two reservoirs to better understand the relationships between meteorological variables, including extreme hydrological events, watershed runoff and reservoir water quality in small time scales.
For the identification of climate adaptation measures, largely based on the definition of operating rule curves of the two reservoirs - including the management of transfers from Alqueva, contributions of the agricultural sector will also be considered, obtained from surveys taken in the region which include inputs from the water supply sector, regional authorities and farmers.