Quality control of enviromental measurement data with quality flagging

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

doi:10.1007/978-3-319-15994-2_34

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 proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	Environmental Software Systems
Subtitle of host publication	Infrastructures, Services and Applications
Publisher	Springer
Pages	343-350
ISBN (Electronic)	978-3-319-15994-2
ISBN (Print)	978-3-319-15993-5
DOIs	https://doi.org/10.1007/978-3-319-15994-2_34
Publication status	Published - 2015
MoE publication type	A4 Article in a conference publication
Event	11th IFIP WG 5.11 International Symposium, ISESS 2015 - Melbourne, Australia Duration: 25 Mar 2015 → 27 Mar 2015 Conference number: 11

Publication series

Series	IFIP Advances in Information and Communication Technology
Volume	448
ISSN	1868-4238

Conference

Conference	11th IFIP WG 5.11 International Symposium, ISESS 2015
Abbreviated title	ISESS 2015
Country/Territory	Australia
City	Melbourne
Period	25/03/15 → 27/03/15

Keywords

quality control
quality flagging
enterprise service bus
environmental data
built environment

Access to Document

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

Cite this

@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",

note = "11th IFIP WG 5.11 International Symposium, ISESS 2015, ISESS 2015 ; Conference date: 25-03-2015 Through 27-03-2015",

}

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, Victoria, 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 et al.
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 proceeding › Conference article in proceedings › Scientific › peer-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

N1 - Conference code: 11

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

T2 - 11th IFIP WG 5.11 International Symposium, ISESS 2015

Y2 - 25 March 2015 through 27 March 2015

ER -

Quality control of enviromental measurement data with quality flagging

Abstract

Publication series

Conference

Keywords

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