Mauno Rönkkö
Department of Environmental Science, University of Eastern Finland, Kuopio, Finland
Okko Kauhanen
Department of Environmental Science, University of Eastern Finland, Kuopio, Finland
Jari Koskiaho
Finnish Environment Institute,Helsinki, Finland
Niina Kotamäki
Finnish Environment Institute,Helsinki, Finland
Teemu Näykki
Finnish Environment Institute,Helsinki, Finland
Markku Ohenoja
Control Engineering, Faculty of Technology, University of Oulu, Finland
Esko Juuso
Control Engineering, Faculty of Technology, University of Oulu, Finland
Maija Ojanen
VTT Technical research Centre of Finland, VTT, Finland
Petri Koponen
VTT Technical research Centre of Finland, VTT, Finland
Ville Kotovirta
VTT Technical research Centre of Finland, VTT, Finland
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http://dx.doi.org/10.3384/ecp1714219Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:3, p. 19-24
Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
Monitoring of water quality should not be solely based on laboratory samples. Such activity, although producing reliable results, cannot provide an accurate enough temporal coverage for water quality monitoring. The Finnish Environment Institute, SYKE, has therefore established numerous online water monitoring stations that continuously monitor water quality. The problem with the automatic monitoring, however, is that the recorded values are not reliable as such and need to be subject to quality control and uncertainty estimation. Here, as the main contribution, we present a computational service that we have implemented to automate and integrate the water quality monitoring process. We also present a case study regarding the river Väänteenjoki and discuss the obtained uncertainty results and their implication.
environmental measurements, quality control, uncertainty estimation, computational service, river
