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 Sep 201616 Sep 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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