Influence of uncertain boundary conditions and model structure on flood inundation predictions.

By Florian Pappenberger, Patrick Matgen, Keith Beven, Jean-Baptiste Henry, Laurent Pfister, Paul de Fraipont. 2006

393 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/c6c45356fad0666b0b127e6d0318318c97fea8d2

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In Global and Planetary Change

In Water Science and Technology

Citations in the corpus

Joint Monte Carlo and possibilistic simulation for flood damage assessment (2013, background): “…Singapore The uncertainties associated with the flood inundation modeling exist in data inputs (e.g. rainfall) (He et al. 2009), hydraulics parameters (e.g. Manning’s n) (Straatsma and Huthoff 2010) and model structures (e.g. representation of hydraulic structures) (Pappenberger et al. 2006).”
Ensemble evaluation of hydrological model hypotheses (2010, methodology): “[47] Stage‐discharge uncertainty was estimated using the following algorithm, adapted from the idea of a fuzzy rating curve [Pappenberger et al., 2006]: [48] 1.”
A novel hybrid artificial intelligence approach for flood susceptibility assessment (2017, background): “Flooding is a complex phenomenon and hence prediction of flood occurrence is difficult (Pappenberger et al., 2006).”
Uncertainty in streamflow rating curves: methods, controls and consequences (2014, methodology): “Other methods have been developed using Bayesian frameworks (e.g. Petersen-Overleir et al., 2009) and fuzzy regression (e.g. Bardossy et al., 1990; Pappenberger et al., 2006; Shrestha et al., 2007;Westerberg et al., 2011).”
Rating curve estimation under epistemic uncertainty (2015, background): “Other authors modified the individual data point likelihoods by limiting the acceptable distance between the data point and the rating curve and/or exchanging the normal distribution for a uniform or pyramidal distribution, drawing on fuzzy set concepts (Pappenberger et al., 2006; Krueger et al., 20”