AguAlearn
Resumo do proxecto
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.
Datos do proxecto
Título (idioma orixinal)
Early warning tool based on machine learning for groundwater supply
Título en inglés
Early warning tool based on machine learning for groundwater supply
Ano de inicio
Ano de fin
Programa de financiación
Ministerio de Industria, Comercio y Turismo
Ámbito do programa
Institución coordinadora
Catalan Water Partnership
País do organismo que coordina
Socios/Entidades colaboradoras
Catalan Water Parternship (CWP)| Aigües del Prat| AMPHOS 21
Orzamento
2100000
Sitio web
Fuente de información
Aun no hay publicaciones
Anotacións
NO HAY MATERIAL ASOCIADO
Coordinador
Ester Vilanova & Jordy Roca
Fuente de información
Aun no hay publicaciones
País
Socios/Entidades colaboradoras
Catalan Water Parternship (CWP)| Aigües del Prat| AMPHOS 21