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

    SeriesIFIP Advances in Information and Communication Technology
    Volume448
    ISSN1868-4238

    Conference

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

    Fingerprint

    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).
    @inproceedings{522bee7ff6354238953139fc744a2546,
    title = "Quality control of enviromental measurement data with quality flagging",
    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.",
    keywords = "quality control, quality flagging, enterprise service bus, environmental data, built environment",
    author = "Mauno R{\"o}nkk{\"o} and Okko Kauhanen and Markus Stocker and Harri Hyt{\"o}nen and Ville Kotovirta and Esko Juuso and Mikko Kolehmainen",
    year = "2015",
    doi = "10.1007/978-3-319-15994-2_34",
    language = "English",
    isbn = "978-3-319-15993-5",
    series = "IFIP Advances in Information and Communication Technology",
    publisher = "Springer",
    pages = "343--350",
    booktitle = "Environmental Software Systems",
    address = "Germany",

    }

    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

    TY - GEN

    T1 - Quality control of enviromental measurement data with quality flagging

    AU - Rönkkö, Mauno

    AU - Kauhanen, Okko

    AU - Stocker, Markus

    AU - Hytönen, Harri

    AU - Kotovirta, Ville

    AU - Juuso, Esko

    AU - Kolehmainen, Mikko

    PY - 2015

    Y1 - 2015

    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.

    KW - quality control

    KW - quality flagging

    KW - enterprise service bus

    KW - environmental data

    KW - built environment

    U2 - 10.1007/978-3-319-15994-2_34

    DO - 10.1007/978-3-319-15994-2_34

    M3 - Conference article in proceedings

    SN - 978-3-319-15993-5

    T3 - IFIP Advances in Information and Communication Technology

    SP - 343

    EP - 350

    BT - Environmental Software Systems

    PB - Springer

    ER -

    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