Quality control of enviromental measurement data with quality flagging

Mauno Rönkkö, Okko Kauhanen, Markus Stocker, Harri Hytönen, Ville Kotovirta, Esko Juuso, Mikko Kolehmainen

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

Abstract

We discuss quality control of environmental measurement data. Typically, environmental data is used to compute some specific indicators based on models, historical data, and the most recent measurement data. For such a computation to produce reliable results, the data must be of sufficient quality. The reality is, however, that environmental measurement data has a huge variation in quality. Therefore, we study the use of quality flagging as a means to perform both real-time and off-line quality control of environmental measurement data. We propose the adoption of the quality flagging scheme introduced by the Nordic meteorological institutes. As the main contribution, we present both a uniform interpretation for the quality flag values and a scalable Enterprise Service Bus based architecture for implementing the quality flagging. We exemplify the use of the quality flagging and the architecture with a case study for monitoring of built environment.
Original languageEnglish
Title of host publicationEnvironmental Software Systems
Subtitle of host publicationInfrastructures, Services and Applications
PublisherSpringer
Pages343-350
ISBN (Electronic)978-3-319-15994-2
ISBN (Print)978-3-319-15993-5
DOIs
Publication statusPublished - 2015
MoE publication typeA4 Article in a conference publication
Event11th IFIP WG 5.11 International Symposium, ISESS 2015 - Melbourne, Australia
Duration: 25 Mar 201527 Mar 2015
Conference number: 11

Publication series

NameIFIP Advances in Information and Communication Technology IFIPAICT
PublisherSpringer
Volume448
ISSN (Print)1868-4238

Conference

Conference11th IFIP WG 5.11 International Symposium, ISESS 2015
Abbreviated titleISESS 2015
CountryAustralia
CityMelbourne
Period25/03/1527/03/15

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Quality control
Monitoring
Industry

Keywords

  • quality control
  • quality flagging
  • enterprise service bus
  • environmental data
  • built environment

Cite this

Rönkkö, M., Kauhanen, O., Stocker, M., Hytönen, H., Kotovirta, V., Juuso, E., & Kolehmainen, M. (2015). Quality control of enviromental measurement data with quality flagging. In Environmental Software Systems: Infrastructures, Services and Applications (pp. 343-350). Springer. IFIP Advances in Information and Communication Technology, Vol.. 448 https://doi.org/10.1007/978-3-319-15994-2_34
Rönkkö, Mauno ; Kauhanen, Okko ; Stocker, Markus ; Hytönen, Harri ; Kotovirta, Ville ; Juuso, Esko ; Kolehmainen, Mikko. / Quality control of enviromental measurement data with quality flagging. Environmental Software Systems: Infrastructures, Services and Applications. Springer, 2015. pp. 343-350 (IFIP Advances in Information and Communication Technology, Vol. 448).
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abstract = "We discuss quality control of environmental measurement data. Typically, environmental data is used to compute some specific indicators based on models, historical data, and the most recent measurement data. For such a computation to produce reliable results, the data must be of sufficient quality. The reality is, however, that environmental measurement data has a huge variation in quality. Therefore, we study the use of quality flagging as a means to perform both real-time and off-line quality control of environmental measurement data. We propose the adoption of the quality flagging scheme introduced by the Nordic meteorological institutes. As the main contribution, we present both a uniform interpretation for the quality flag values and a scalable Enterprise Service Bus based architecture for implementing the quality flagging. We exemplify the use of the quality flagging and the architecture with a case study for monitoring of built environment.",
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Rönkkö, M, Kauhanen, O, Stocker, M, Hytönen, H, Kotovirta, V, Juuso, E & Kolehmainen, M 2015, Quality control of enviromental measurement data with quality flagging. in Environmental Software Systems: Infrastructures, Services and Applications. Springer, IFIP Advances in Information and Communication Technology, vol. 448, pp. 343-350, 11th IFIP WG 5.11 International Symposium, ISESS 2015, Melbourne, Australia, 25/03/15. https://doi.org/10.1007/978-3-319-15994-2_34

Quality control of enviromental measurement data with quality flagging. / Rönkkö, Mauno; Kauhanen, Okko; Stocker, Markus; Hytönen, Harri; Kotovirta, Ville; Juuso, Esko; Kolehmainen, Mikko.

Environmental Software Systems: Infrastructures, Services and Applications. Springer, 2015. p. 343-350 (IFIP Advances in Information and Communication Technology, Vol. 448).

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

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T1 - Quality control of enviromental measurement data with quality flagging

AU - Rönkkö, Mauno

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AU - Juuso, Esko

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N2 - We discuss quality control of environmental measurement data. Typically, environmental data is used to compute some specific indicators based on models, historical data, and the most recent measurement data. For such a computation to produce reliable results, the data must be of sufficient quality. The reality is, however, that environmental measurement data has a huge variation in quality. Therefore, we study the use of quality flagging as a means to perform both real-time and off-line quality control of environmental measurement data. We propose the adoption of the quality flagging scheme introduced by the Nordic meteorological institutes. As the main contribution, we present both a uniform interpretation for the quality flag values and a scalable Enterprise Service Bus based architecture for implementing the quality flagging. We exemplify the use of the quality flagging and the architecture with a case study for monitoring of built environment.

AB - We discuss quality control of environmental measurement data. Typically, environmental data is used to compute some specific indicators based on models, historical data, and the most recent measurement data. For such a computation to produce reliable results, the data must be of sufficient quality. The reality is, however, that environmental measurement data has a huge variation in quality. Therefore, we study the use of quality flagging as a means to perform both real-time and off-line quality control of environmental measurement data. We propose the adoption of the quality flagging scheme introduced by the Nordic meteorological institutes. As the main contribution, we present both a uniform interpretation for the quality flag values and a scalable Enterprise Service Bus based architecture for implementing the quality flagging. We exemplify the use of the quality flagging and the architecture with a case study for monitoring of built environment.

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Rönkkö M, Kauhanen O, Stocker M, Hytönen H, Kotovirta V, Juuso E et al. Quality control of enviromental measurement data with quality flagging. In Environmental Software Systems: Infrastructures, Services and Applications. Springer. 2015. p. 343-350. (IFIP Advances in Information and Communication Technology, Vol. 448). https://doi.org/10.1007/978-3-319-15994-2_34