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:
- Design a water quality assessment framework for cNES
- Implement innovative monitoring modules to demonstrate cNES treatment efficacy:
- An innovative sensor to monitor fecal contamination
- An innovative monitoring system to assess antibiotic resistance genes
- Quantitative CALUX bioassays to monitor endocrine disrupting/toxic compounds
- visualization techniques and integrate results of multiple monitoring tools in an• Demonstrate data-processing and -vis open access software based water quality reporting tool
- Demonstrate its use in selected demonstration sites from WP1-3 and derive an interactive water quality assessment
tool to be embedded in the decision support platform in WP6.