2019
DOI: 10.1590/2318-0331.241920180110
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Abstract: Uncertainty estimation analysis has emerged as a fundamental study to understand the effects of errors inherent to hydrodynamic modeling processes, of aleatory and epistemic nature, due to input data such as discharge, topography and bathymetry, to the structure and parameterization of the mathematical models used and to their necessary boundary and initial conditions. The study reported in this paper sought to apply a Bayesian-based methodology, associated with thousands of Markov Chain Monte Carlo simulation… Show more

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Cited by 2 publications
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“…As discussed in Apel et al (2009), Poser & Dransch (2010) and Pinheiro et al (2019), among others, it is also necessary to consider in this work that hydrodynamic models have their inner evaluation errors. In some cases, values simulated by alternative methods may present greater correspondence with the event.…”
Section: Reconstituted Floodplain and Model Performancementioning
confidence: 99%