AguAlearn
Resumo do projeto
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.
Dados do projeto
Título (idioma original)
Early warning tool based on machine learning for groundwater supply
Título em inglês
Early warning tool based on machine learning for groundwater supply
Ano de início
Ano de término
Programa de financiamento
Ministerio de Industria, Comercio y Turismo
Âmbito do programa
Instituição coordenadora
Catalan Water Partnership
País do organismo que coordena
Parceiros/Entidades colaboradoras
Catalan Water Parternship (CWP)| Aigües del Prat| AMPHOS 21
Orçamento
2100000
Site web
Fuente de información
Aun no hay publicaciones
Anotações
NO HAY MATERIAL ASOCIADO
Coordenador
Ester Vilanova & Jordy Roca
Fuente de información
Aun no hay publicaciones
País
Parceiros/Entidades colaboradoras
Catalan Water Parternship (CWP)| Aigües del Prat| AMPHOS 21