Considering sampling quality for estimating the uncertainty of gaugings using the velocity
| Autor: | Despax, A., Perret, C., Garcon, R., Hauet, A., Belleville, A., Le Coz, Jérôme, Favre, A.C. |
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| Přispěvatelé: | RiverLy (UR Riverly), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), EDF DTG DMM, EDF (EDF), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]) |
| Jazyk: | francouzština |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | La Houille Blanche-Revue internationale de l'eau La Houille Blanche-Revue internationale de l'eau, EDP Sciences, 2018, pp.36-41. ⟨10.1051/lhb/2018005⟩ |
| ISSN: | 0018-6368 1958-5551 |
| DOI: | 10.1051/lhb/2018005⟩ |
| Popis: | International audience; During crisis (droughts or floods) hydrometric data are essential for decisions related to real-time water resource and risk management but also afterwards in cases of disagreement. Estimating the uncertainty of discharge measurements is necessary to make consistent decisions. Although discharge measurement techniques have improved in recent decades, uncertainty analysis remains a challenge in hydrometry due to the lack of discharge standards in the field. This study aims at estimating the uncertainty of velocity-area discharge measurements with potential perspective of updating the ISO 748 standard. To address the limitations of existing methods, this study presents a new analytical propagation method, called Flaure, to estimate the uncertainty components. Special attention is paid to the estimation of the dominant u'm component related to cross-sectional interpolation errors of velocities and depths. High-resolution reference gaugings are used to assess the uncertainty component through a statistical analysis. The method then establishes an explicit link between the estimation of cross-sectional interpolation errors and a sampling quality index that can be computed for any given current-meter discharge measurement. |
| Databáze: | OpenAIRE |
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