Application of Artificial Intelligence for the prediction of water resources.
The TERRA project uses machine learning models that are able to predict the evolution of reservoir water or aquifer level up to a year in advance and an error of less than 20%.
These models have been applied in 3 pilots of different nature: in Marbella and Granada, where a joint use is made of the regulated and underground surface water resources of detrital aquifers; and in Torremolinos, where resources from an aquifer of karst nature are exploited. In addition, with the results of the predictions, the scarcity index has been predicted according to the Special Drought Plans and a modified scarcity index has been created, also taking into account the available underground water resource reserves.
All these results are collected in a Water 4.0 visualization tool developed using Power BI that, thanks to its friendly and simple interface, allows you to visualize the main management parameters of water bodies and help when making preventive decisions or drought mitigation and even in the preparation of annual budgets.