Standardized uncertainty analysis for hydrometry: a review of relevant approaches and implementation examples |
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| Authors: | Marian Muste Jean-Luc Bertrand-Krajewski |
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| Institution: | 1. IIHR – Hydroscience and Engineering , University of Iowa , Iowa City , Iowa , 52242 , USA;2. Laboratory of Civil and Environmental Engineering , Université de Lyon – INSA-Lyon , F-69621 , Villeurbanne Cedex , France |
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| Abstract: | Abstract The water-centric community has continuously made efforts to identify, assess and implement rigorous uncertainty analyses for routine hydrological measurements. This paper reviews some of the most relevant efforts and subsequently demonstrates that the Guide to the expression of uncertainty in measurement (GUM) is a good candidate for estimation of uncertainty intervals for hydrometry. The demonstration is made by implementing the GUM to typical hydrometric applications and comparing the analysis results with those obtained using the Monte Carlo method. The results show that hydrological measurements would benefit from the adoption of the GUM as the working standard, because of its soundness, the availability of software for practical implementation and potential for extending the GUM to hydrological/hydraulic numerical simulations. Editor D. Koutsoyiannis Citation Muste, M., Lee, K. and Bertrand-Krajewski, J.-L., 2012. Standardized uncertainty analysis for hydrometry: a review of relevant approaches and implementation examples. Hydrological Sciences Journal, 57 (4), 643–667. |
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| Keywords: | uncertainty analysis hydrometric measurements Monte Carlo uncertainty estimation sensitivity analysis |
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