In aquatic research, our research group has applied computational methods, including data analysis and data quality control, on water network measurements. We have expertise in smart water management systems combining, where data is used from varying sources. The applications include both quality and quantity monitoring, data managament, data storage systems, and simulations models. We have also expertise in risk assesment models.
The most recent projects in this area include:
- Mining water competence network (KaivosVV, 2015-2017)
- Advanced Water Treatment Pilot Environment (KEVEYS, 2014-2015)
- Portable Water Systems – Quality, Safety, and Saving water (RYM-SHOK, 2011-2015)
- Measurement, Monitoring, and Environmental Assessment (MMEA, 2010-2015)