The main objective is to study, assess, and model the occurrence, fate and behaviour of pathogens including viruses, such as SARS-CoV-2, CECs, and the development of ARB, and ARG under different environmental, climatic, and hydrological situations.


FOREWARN will use previous databases and also provide new data to feed the models to develop a decision support system (DSS) for predicting risks associated to these pollutants and will propose mitigation efficient strategies.

The DSS will be able to prevent risks and propose mitigation strategies supporting the decision-making processes of WW managers, water authorities, and the implementation of European policies.

The optimization of WWTs adapted for each particular will improve quality of WWs reducing negative impacts in the environment and human health, and will help to save energy and resources.



  • To establish plug-flow models of the fate and behaviour of CECs on sewage-impacted aquatic systems and their dynamics under different hydrological and climatic conditions based on the impact of the flow changes on the concentrations, circulating flows, the average upstream emissions and an overall decay constant assessing the retention and degradation capacity of aquatic ecosystems.
  • To assess and model the biodegradation of antibiotics to estimate and anticipate antibiotic resistance transmission rates and assessing gene transfer.
  • To evaluate the transmission and changes of AMR and pathogens including emerging viruses such as SARS-CoV-2 in aquatic ecosystems.
  • To assess the efficiency of WW treatments and when needed to identify requirements and propose tailored WW treatments to achieve safety levels.
  • To develop a DSS system that will use the collected data to attempt to predict the emergence and impact of CECs and pathogens. This will include analysis of feature importance and development of interpretable calibrated models for effective decision support.
  • To evaluate the performance of the DSS system to achieve a TRL 5.