GOTANETA project

GOTANETA is developing an intelligent tool to characterise and predict the pollutant load mobilised by urban sewerage systems during rainfall events. The solution will combine field monitoring, hydrological-hydraulic modelling, artificial intelligence and machine learning to anticipate overflows and support preventive, efficient and sustainable management.

 

The project will generate pollutographs and flow hydrographs, define a synthetic pollution index and develop a predictive platform based on Machine Learning and interoperable data, with technical recommendations tailored to each urban catchment. The tool will be supported by an interoperable data catalogue and a connector for data spaces, facilitating the secure updating and reuse of regulatory, hydraulic, environmental and operational information.

 

Validation will be carried out in Alzira, Algemesí, Calp, Gandía and Sagunt. The results will help operators and public authorities prioritise investments and mitigation measures, including nature-based solutions and sustainable urban drainage systems.

 

Funding:
GOTANETA is being developed within the framework of the 2026 call of the AVI-IVACE+i Business Value Chain Consolidation programme. The project has a total budget of €930,099.10 and is co-funded by the European Union through the ERDF Comunitat Valenciana 2021-2027 Programme.