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

Florian Pappenberger (Corresponding Author), Patrick Matgen, Keith J. Beven, Jean-Baptiste Henry, Laurent Pfister, Paul Fraipont de

Research output: Contribution to journalArticleScientificpeer-review

221 Citations (Scopus)

Abstract

In this study, the GLUE methodology is applied to establish the sensitivity of flood inundation predictions to uncertainty of the upstream boundary condition and bridges within the modelled region. An understanding of such uncertainties is essential to improve flood forecasting and floodplain mapping. The model has been evaluated on a large data set. This paper shows uncertainty of the upstream boundary can have significant impact on the model results, exceeding the importance of model parameter uncertainty in some areas. However, this depends on the hydraulic conditions in the reach e.g. internal boundary conditions and, for example, the amount of backwater within the modelled region. The type of bridge implementation can have local effects, which is strongly influenced by the bridge geometry (in this case the area of the culvert). However, the type of bridge will not merely influence the model performance within the region of the structure, but also other evaluation criteria such as the travel time. This also highlights the difficulties in establishing which parameters have to be more closely examined in order to achieve better fits. In this study no parameter set or model implementation that fulfils all evaluation criteria could be established. We propose four different approaches to this problem: closer investigation of anomalies; introduction of local parameters; increasing the size of acceptable error bounds; and resorting to local model evaluation. Moreover, we show that it can be advantageous to decouple the classification into behavioural and non-behavioural model data/parameter sets from the calculation of uncertainty bounds.
Original languageEnglish
Pages (from-to)1430-1449
Number of pages20
JournalAdvances in Water Resources
Volume29
Issue number10
DOIs
Publication statusPublished - 2006
MoE publication typeA1 Journal article-refereed

Fingerprint

boundary condition
prediction
culvert
flood forecasting
backwater
travel time
floodplain
parameter
hydraulics
anomaly
geometry
methodology
evaluation criterion

Keywords

  • flooding
  • uncertainty analysis
  • free surface flow
  • sensitivity analyse
  • modelling
  • GLUE methodology
  • upstream boundary

Cite this

Pappenberger, F., Matgen, P., Beven, K. J., Henry, J-B., Pfister, L., & Fraipont de, P. (2006). Influence of uncertain boundary conditions and model structure on flood inundation predictions. Advances in Water Resources, 29(10), 1430-1449. https://doi.org/10.1016/j.advwatres.2005.11.012
Pappenberger, Florian ; Matgen, Patrick ; Beven, Keith J. ; Henry, Jean-Baptiste ; Pfister, Laurent ; Fraipont de, Paul. / Influence of uncertain boundary conditions and model structure on flood inundation predictions. In: Advances in Water Resources. 2006 ; Vol. 29, No. 10. pp. 1430-1449.
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Pappenberger, F, Matgen, P, Beven, KJ, Henry, J-B, Pfister, L & Fraipont de, P 2006, 'Influence of uncertain boundary conditions and model structure on flood inundation predictions', Advances in Water Resources, vol. 29, no. 10, pp. 1430-1449. https://doi.org/10.1016/j.advwatres.2005.11.012

Influence of uncertain boundary conditions and model structure on flood inundation predictions. / Pappenberger, Florian (Corresponding Author); Matgen, Patrick; Beven, Keith J.; Henry, Jean-Baptiste; Pfister, Laurent; Fraipont de, Paul.

In: Advances in Water Resources, Vol. 29, No. 10, 2006, p. 1430-1449.

Research output: Contribution to journalArticleScientificpeer-review

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T1 - Influence of uncertain boundary conditions and model structure on flood inundation predictions

AU - Pappenberger, Florian

AU - Matgen, Patrick

AU - Beven, Keith J.

AU - Henry, Jean-Baptiste

AU - Pfister, Laurent

AU - Fraipont de, Paul

PY - 2006

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AB - In this study, the GLUE methodology is applied to establish the sensitivity of flood inundation predictions to uncertainty of the upstream boundary condition and bridges within the modelled region. An understanding of such uncertainties is essential to improve flood forecasting and floodplain mapping. The model has been evaluated on a large data set. This paper shows uncertainty of the upstream boundary can have significant impact on the model results, exceeding the importance of model parameter uncertainty in some areas. However, this depends on the hydraulic conditions in the reach e.g. internal boundary conditions and, for example, the amount of backwater within the modelled region. The type of bridge implementation can have local effects, which is strongly influenced by the bridge geometry (in this case the area of the culvert). However, the type of bridge will not merely influence the model performance within the region of the structure, but also other evaluation criteria such as the travel time. This also highlights the difficulties in establishing which parameters have to be more closely examined in order to achieve better fits. In this study no parameter set or model implementation that fulfils all evaluation criteria could be established. We propose four different approaches to this problem: closer investigation of anomalies; introduction of local parameters; increasing the size of acceptable error bounds; and resorting to local model evaluation. Moreover, we show that it can be advantageous to decouple the classification into behavioural and non-behavioural model data/parameter sets from the calculation of uncertainty bounds.

KW - flooding

KW - uncertainty analysis

KW - free surface flow

KW - sensitivity analyse

KW - modelling

KW - GLUE methodology

KW - upstream boundary

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M3 - Article

VL - 29

SP - 1430

EP - 1449

JO - Advances in Water Resources

JF - Advances in Water Resources

SN - 0309-1708

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ER -