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AguAlearn

Project summary

AguAlearn has developed an innovative early warning platform for the quality of groundwater in the Llobregat delta area for its supply. The developed platform identifies, on the one hand, the most suitable flow to minimize the entry of contaminants from data analysis with machine learning. On the other hand, it is capable of predicting the presence of specific contaminants based on salinity data and operating parameters, which are available in real time. This tool is based on the IML Artificial Intelligence code developed by Amphos 21 and allows relating variables to predict the presence of minority pollutants. The code has been integrated into an early warning platform, developed by HYDS, which identifies alert situations and generates notices to previously selected users. This platform connects real-time data and analytics with artificial intelligence software.

Project data

Title (original language)
Early warning tool based on machine learning for groundwater supply
Title in English
Early warning tool based on machine learning for groundwater supply
Start year
End year
Funding program
Ministerio de Industria, Comercio y Turismo
Program scope
Coordinating institution
Catalan Water Partnership
Country of coordinating body
Partners/Collaborating entities

Catalan Water Parternship (CWP)| Aigües del Prat| AMPHOS 21

Budget
2100000
Fuente de información
Aun no hay publicaciones
Notes
NO HAY MATERIAL ASOCIADO
Coordinator
Ester Vilanova & Jordy Roca
Fuente de información
Aun no hay publicaciones
País
Partners/Collaborating entities

Catalan Water Parternship (CWP)| Aigües del Prat| AMPHOS 21