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Bayesian Rating Curve Inference as a Streamflow Data Quality Assessment Tool

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  • Asgeir Petersen-Øverleir
  • André Soot
  • Trond Reitan

Abstract

A streamflow time-series is normally obtained by transforming a time-series of recorded stage to discharge using an estimated rating curve. The accuracy of this streamflow time-series depends on the characteristics of the available stage-discharge measurements used to fit the rating curve. The Norwegian Water Resources and Energy Directorate (NVE) has developed a method based on rating curve uncertainty for performing objective quality assessment of streamflow time-series. The method, which is based on a Bayesian statistical framework, uses the available stage-discharge measurements and the corresponding stage time-series to derive statistics utilised for a quality assurance of the streamflow time-series. Nearly one thousand streamflow time-series periods have been classified using the method. This paper presents the results. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • Asgeir Petersen-Øverleir & André Soot & Trond Reitan, 2009. "Bayesian Rating Curve Inference as a Streamflow Data Quality Assessment Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(9), pages 1835-1842, July.
    • Handle: RePEc:spr:waterr:v:23:y:2009:i:9:p:1835-1842
    DOI: 10.1007/s11269-008-9354-5
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    References listed on IDEAS

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    1. P. Keur & H. Henriksen & J. Refsgaard & M. Brugnach & C. Pahl-Wostl & A. Dewulf & H. Buiteveld, 2008. "Identification of Major Sources of Uncertainty in Current IWRM Practice. Illustrated for the Rhine Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(11), pages 1677-1708, November.
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    Cited by:

    1. Alfaica, Ajumar Omar & Rampinelli, Cássio Guilherme & Tiago Filho, Geraldo Lucio & Barros, Regina Mambeli & Silva dos Santos, Ivan Felipe, 2023. "Hydrological uncertainty analysis using Monte Carlo simulations to determine power purchasing agreements for small hydroelectric powerplants," Renewable Energy, Elsevier, vol. 219(P1).
    2. Sajjad M. Vatanchi & Mahmoud F. Maghrebi, 2019. "Uncertainty in Rating-Curves Due to Manning Roughness Coefficient," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(15), pages 5153-5167, December.

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