The EU-funded project will develop real-time control and monitoring systems as well as a novel, cost-effective, easy to use surveillance system to optimise the removal of emerging water contaminants.
The water resources and especially the drinking water in Europe and globally face new challenges with the emerging micropollutants, originating from pharmaceuticals, personal care products, plastics, flame retardants, pesticides etc. Even though they present in extremely low concentrations and do not exhibit acute toxicity to living organisms or environment, the long-term effects are uncertain. The water and wastewater treatment plants do not fully remove or eliminate them; so, they accumulate in the water resources leading to higher concentrations increasing the health and environmental risks.
The current analytical and monitoring systems of detection of emerging contaminants at low concentration are expensive, time-consuming and usually complicated. Current studies have only reported the fate of these substances during various treatment processes but not on how to optimise them to maximise removal.
To solve this problem, we would like to combine our experience in the development of real-time control and monitoring systems with knowledge of the analysis and removal of emerging contaminants during treatment processes. How? By creating a soft sensors! They are also called virtual sensors or surrogate sensors. It is a smart estimation method of difficult and expensive parameters via cheap and widely available physical online sensors. Powerful statistical tools, artificial intelligence and machine learning concepts have proven to establish algorithms discovering hidden correlations among the two types of parameters. The hypothesis of this research project is that it will be possible for soft sensors to detect emerging contaminants in water. It is a challenging task, mainly due to unknown chemistry of emerging contaminants, cocktail effects of emerging contaminants, and limited knowledge of the exact composition of water (unknown compounds).
The global objective is to develop novel, cost-effective and simple-to-use surveillance system that would also enable the optimising of the removal of contaminants of emerging concern (CECs) in water.
The goals of this project are:
Main outputs of the project will be:
ECO SOS outcome
MSCA Postdoctoral Fellow
H2020 Marie Sklodowska-Curie Actions
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