An applied framework for uncertainty treatment and key challenges in hydrological and hydraulic modelingThis article is one of a selection of papers published in this Special Issue on Hydrotechnical Engineering
Within the larger domain of risk or environmental assessment, uncertainty treatment is gaining growing interest in the fields of hydrological and hydraulic modeling. A generic approach to quantitative uncertainty is suggested, putting together the applicable decision-making framework and associated probabilistic formulations involving uncertainty modeling (possibly through an inverse approach), uncertainty propagation, and the ranking of importance or sensitivity analysis. Accordingly, a number of generic statistical, physical, and numerical methods could be more largely disseminated in the water domain. Two axes of particular potential interest are outlined: the tricky choice of differentiating according to the epistemological nature of the uncertainty, with considerable impact on the formulation of the risk criterion and the associated level of complexity; the challenges posed by uncertainty modeling in the context of data scarcity, and the corresponding calibration and inverse probabilistic techniques, bound to be developed to best value hydro-monitoring and data acquisition systems under uncertainty.