The DOI matches its Crossref record.
Floodplain friction parameterization in two‐dimensional river flood models using vegetation heights derived from airborne scanning laser altimetry
Open accessAbstract
Two‐dimensional (2‐D) hydraulic models are currently at the forefront of research into river flood inundation prediction. Airborne scanning laser altimetry is an important new data source that can provide such models with spatially distributed floodplain topography together with vegetation heights for parameterization of model friction. The paper investigates how vegetation height data can be used to realize the currently unexploited potential of 2‐D flood models to specify a friction factor at each node of the finite element model mesh. The only vegetation attribute required in the estimation of floodplain node friction factors is vegetation height. Different sets of flow resistance equations are used to model channel sediment, short vegetation, and tall and intermediate vegetation. The scheme was tested in a modelling study of a flood event that occurred on the River Severn, UK, in October 1998. A synthetic aperture radar image acquired during the flood provided an observed flood extent against which to validate the predicted extent. The modelled flood extent using variable friction was found to agree with the observed extent almost everywhere within the model domain. The variable‐friction model has the considerable advantage that it makes unnecessary the unphysical fitting of floodplain and channel friction factors required in the traditional approach to model calibration. Copyright © 2003 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Flood inundation modelling: A review of methods, recent advances and uncertainty analysis
Teng, J., Jakeman, A. J., Vaze, J., Croke, B. F. W., Dutta, D., & Kim, S. (2017) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2017.01.006 · Cited by 1,456
Neal, J., Schumann, G., & Bates, P. (2012) · Water Resources Research · doi:10.1029/2012wr012514 · Cited by 517
Self-citationOn inducing equations for vegetation resistance
Baptist, M. J., Babovic, V., Rodríguez Uthurburu, J., Keijzer, M., Uittenbogaard, R. E., Mynett, A., & Verwey, A. (2007) · Journal of Hydraulic Research · doi:10.1080/00221686.2007.9521778 · Cited by 484
Simple spatially-distributed models for predicting flood inundation: A review
Hunter, N. M., Bates, P. D., Horritt, M. S., & Wilson, M. D. (2007) · Geomorphology · doi:10.1016/j.geomorph.2006.10.021 · Cited by 440
Self-citationEvaluation of on-line DEMs for flood inundation modeling
Sanders, B. F. (2007) · Advances in Water Resources · doi:10.1016/j.advwatres.2007.02.005 · Cited by 405
Metadata
- Authors
- Mason, D. C., Cobby, D. M., Horritt, M. S., & Bates, P. D.
- Venue
- Hydrological Processes
- Publisher
- Wiley
- Published
- 2003-05-15
- Volume
- 17
- Issue
- 9
- Pages
- 1711-1732
- ISSN
- 0885-6087 (ISSN-L)
- 1099-1085
- OpenAlex
- W2163952144
- Cited by
- 200
- References
- 0
- FWCI
- 5.54
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Floodplain friction parameterization in two‐dimensional river flood models using vegetation heights derived from airborne scanning laser altimetry. https://app.cochat.ai/papers/10.1002/hyp.1270
- The paper
- Mason, D. C., Cobby, D. M., Horritt, M. S., & Bates, P. D. (2003). Floodplain friction parameterization in two‐dimensional river flood models using vegetation heights derived from airborne scanning laser altimetry. Hydrological Processes. https://doi.org/10.1002/hyp.1270
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.