Stochastic capture zone delineation within the generalized likelihood uncertainty estimation methodology: Conditioning on head observations

By Luc Feyen, Keith Beven, F. D. Smedt, Jim Freer. 2001

112 citations recorded by the source corpus.

Subfields: Environmental Engineering, Geochemistry and Petrology, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/632f4b5ccb487dce3b420c7e8f76d1de57660a84

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In Environmental Engineering

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Citations in the corpus

Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling (2008, methodology): “…(Brazier et al., 2001), modeling of tracer dispersion in a river reach (Hankin et al., 2001), groundwater modeling and well capture zone delineation (Feyen et al., 2001; Jensen 2003), unsaturated zone modeling (Mertens et al., 2004), flood inundation modeling (Romanowicz et al., 1996; Aronica et…”
A Bayesian approach to stochastic capture zone delineation incorporating tracer arrival times, conductivity measurements, and hydraulic head observations (2003, methodology): “The number of realizations per parameter set is kept low based on the findings of Feyen et al. [2001], who showed that the numerical estimates of the capture zones are more dependent on the number of parameter sets sampled compared to the number of realizations per sampled parameter set, as in gener”
Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combination (2012, background): “The rationale behind multimodel combination lies in the fact that predictions from individual models invariably contain errors from different sources, which could be potentially reduced through optimal model combination and performance analyses [Feyen et al., 2001].”
A manifesto for the equifinality thesis (2006, background): “In distributed groundwater modelling, this type of model evaluation suggests that equifinality is endemic to the problem (see Feyen et al., 2001; Binley and Beven, 2003).”
A synthetic groundwater modelling study of the accuracy of GLUE uncertainty intervals (2004, methodology): “Freer et al. (1996) and Feyen et al. (2001) demonstrated that the uncertainty bounds and likelihood distributions estimated by GLUE depend on the subjective choice of the goodness-of-fit measure.”
Physics‐based hydrologic‐response simulation: Seeing through the fog of equifinality (2006, result): “…is a problem, supporting the multiple behavioural conclusion that has been reported by past investigators (e.g. Zak and Beven, 1999; Brazier et al., 2000; Beven and Freer, 2001; Feyen et al., 2001), when model performance assessment is based solely on the catchment’s integrated response.”
Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation (2013, background): “…1998), soil erosion (Brazier et al., 2001), tracer dispersion in a river reach (Hankin et al., 2001), groundwater and well capture zone delineation (Feyen et al., 2001; Jensen, 2003), unsaturated zone (Mertens et al., 2004), ﬂood inundation (Romanowicz et al., 1996; Aronica et al., 2002),…”