Monitoring Suspended Solids and Total Phosphorus in Finnish Rivers

Mauno Rönkkö, Okko Kauhanen, Jari Koskiaho, Niina Kotamäki, Teemu Näykki, Markku Ohenoja, Esko Juuso, Maija Ojanen, Petri Koponen, Ville Kotovirta

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


    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 V a anteenjoki and discuss the obtained uncertainty results and their implication.
    Original languageEnglish
    Title of host publication Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
    PublisherLinköping University Electronic Press
    Number of pages6
    ISBN (Print)978-91-7685-399-3
    Publication statusPublished - 2018
    MoE publication typeA4 Article in a conference publication
    Event9th Eurosim Congress on Modelling and Simulation: 57th SIMS conference on Simulation and Modelling (SIMS 2016) - Oulu, Finland
    Duration: 12 Sept 201616 Sept 2016

    Publication series

    SeriesLinköping Electronic Conference Proceedings


    Conference9th Eurosim Congress on Modelling and Simulation
    Abbreviated titleEUROSIM 2016
    OtherThe EUROSIM 2016 Congress provides a forum where modelling and simulation professionals from industry, society and science exchange knowledge, experiences and strengthen multidisciplinary network.


    • environmental monitoring
    • measurement model
    • uncertainty estimation
    • water quality


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