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Correction published on 10 August 2018, see Water 2018, 10(8), 1071.
Open AccessArticle

Uncertainty Analysis of a Two-Dimensional Hydraulic Model

Centre Eau Terre Environnement, INRS, 490 De la Couronne Street, Quebec, QC G1K 9A9, Canada
Geological Survey of Canada, 490 De la Couronne Street, 3rd Floor, Quebec, QC G1K 9A9, Canada
Author to whom correspondence should be addressed.
Water 2018, 10(3), 272;
Received: 22 November 2017 / Revised: 16 February 2018 / Accepted: 28 February 2018 / Published: 4 March 2018
A reliability approach referred to as the point estimate method (PEM) is presented to assess the uncertainty of a two-dimensional hydraulic model. PEM is a special case of numerical quadrature based on orthogonal polynomials, which evaluates the statistical moments of a performance function involving random variables. When applied to hydraulic problems, the variables are the inputs to the hydraulic model, and the first and second statistical moments refer to the mean and standard deviation of the model’s output. In providing approximate estimates of the uncertainty, PEM appears considerably simpler and requires less information and fewer runs than standard Monte Carlo methods. An example of uncertainty assessment is shown for simulated water depths in a 46 km reach of the Richelieu River, Canada. The 2D hydraulic model, H2D2, was used to solve the shallow water equations. Standard deviations around the mean water depths were estimated by considering the uncertainties of three main input variables: flow rate, Manning’s coefficient and topography. Results indicate that the mean standard deviation is <27 cm for the considered flow rates of 759, 824, 936, 1113 m 3 / s . Higher standard deviations were obtained upstream of the topographic shoal at the municipality of Saint-Jean-sur-Richelieu. The PEM method adds further value to the H2D2 model predictions as it indicates the magnitude and the spatial variation in uncertainties. The effort required to complete an uncertainty analysis using the PEM method is minimal and the resulting insight is meaningful. This knowledge should be incorporated into decision-making in the context of flood risk assessment. View Full-Text
Keywords: uncertainty analysis; point estimate method; shallow water equations; reliability; 2D hydrodynamic model (H2D2) uncertainty analysis; point estimate method; shallow water equations; reliability; 2D hydrodynamic model (H2D2)
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Oubennaceur, K.; Chokmani, K.; Nastev, M.; Tanguy, M.; Raymond, S. Uncertainty Analysis of a Two-Dimensional Hydraulic Model. Water 2018, 10, 272.

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