The treatment efficiency of combined natural and engineered processes (cNES) requires a tailored monitoring strategy that integrates microbial and chemical water quality parameters. Such a monitoring strategy includes a proper monitoring set-up, definition of risk based thresholds of monitored parameters, robust and sensitive monitoring systems, easy to use data processing and visualization as well as integrated (automated) data interpretation of parameters of multiple monitoring tools.
WP4 will design and demonstrate an efficient quantitative water quality assessment framework for cNES that is easy to use and allows integration of innovative monitoring approaches. Modules will be designed using a set of monitoring systems for a variety of emerging water quality issues such as fecal contamination, antibiotic resistance genes and biological effects of complex mixtures of chemicals. The effectiveness of cNES to remove the monitored biological and chemical contamination will be demonstrated.
Specific goals of WP4 are to:
Thomas der Laak
Chemical Water Quality and Health
KWR Watercycle Research Institute
The AquaNES Project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 689450
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FHNW University of Applied Sciences and Arts
School of Life Sciences
Hofackerstr. 30, 4132 Muttenz, Switzerland
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