The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Creating and coupling a high-resolution DTM with a 1-D hydraulic model in a GIS for scenario-based assessment of avulsion hazard in a gravel-bed river
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“While this dearth of data makes flood modeling challenging, the recent advancements in remote sensing technology have facilitated collecting this data in resource scarce locations [18,19].”
Citations
Cites
Evaluation of 1D and 2D numerical models for predicting river flood inundation
Horritt, M. S., & Bates, P. D. (2002) · Journal of Hydrology · doi:10.1016/s0022-1694(02)00121-x · Cited by 1,195
Federal Emergency Management Agency (FEMA)
(2005) · Encyclopedia of United States National Security · doi:10.4135/9781412952446.n202 · Cited by 1,162
Arc Hydro GIS for Water Resources
Maidment, D. R. (2013) · Cited by 842
Digital elevation model grid size, landscape representation, and hydrologic simulations
Zhang, W., & Montgomery, D. R. (1994) · Water Resources Research · doi:10.1029/93wr03553 · Cited by 817
Digital Elevation Model Technologies and Applications : The Dem Users Manual
Maune, D. F. (2019) · Cited by 628
Pappenberger, F., Beven, K., Horritt, M., & Blazkova, S. (2005) · Journal of Hydrology · doi:10.1016/j.jhydrol.2004.06.036 · Cited by 516
Accuracy of Airborne Lidar-Derived Elevation
Hodgson, M. E., & Bresnahan, P. (2004) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.70.3.331 · Cited by 483
Patterns and processes of wood debris accumulation in the Queets river basin, Washington
Abbe, T. B., & Montgomery, D. R. (2003) · Geomorphology · doi:10.1016/s0169-555x(02)00326-4 · Cited by 441
Three-dimensional model of alluvial stratigraphy; theory and applications
Mackey, S. D., & Bridge, J. S. (1995) · Journal of Sedimentary Research · doi:10.1306/d42681d5-2b26-11d7-8648000102c1865d · Cited by 375
Thresholds and the spatial variability of flood power during extreme floods
Magilligan, F. J. (1992) · Geomorphology · doi:10.1016/0169-555x(92)90014-f · Cited by 355
Research works printed but not linked: 2
- Aggett, G., 2005. Applying Advanced Geospatial Data and Methods to Monitoring and Modeling Fluvial Processes. Ph.D. Dissertation, University of Southern California, Los Angeles, USA.
- Haugerud, 2001, Finding faults with LIDAR in the Puget Lowland, Seismological Research Letters, 72, 253
Cited by
An Operational Method for Flood Directive Implementation in Ungauged Urban Areas
Papaioannou, G., Efstratiadis, A., Vasiliades, L., Loukas, A., Papalexiou, S. M., Koukouvinos, A., Tsoukalas, I., & Kossieris, P. (2018) · Hydrology · doi:10.3390/hydrology5020024 · Cited by 147
Cotugno, A., Smith, V., Baker, T., & Srinivasan, R. (2021) · Remote Sensing · doi:10.3390/rs13193806 · Cited by 16
“While this dearth of data makes flood modeling challenging, the recent advancements in remote sensing technology have facilitated collecting this data in resource scarce locations [18,19].”
Background
Metadata
- Authors
- Aggett, G. R., & Wilson, J. P.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Aggett, G.R.
- Venue
- Geomorphology
- Publisher
- Elsevier BV
- Published
- 2009-12
- Volume
- 113
- Issue
- 1-2
- Pages
- 21-34
- ISSN
- 0169-555X (ISSN-L)
- OpenAlex
- W2025769408
- Cited by
- 77
- References
- 59
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 4 · 2022: 3 · 2021: 5 · 2020: 6 · 2019: 4 · 2018: 8 · 2017: 6 · 2016: 4 · 2015: 5 · 2014: 3 · 2013: 9 · 2012: 9
- FWCI
- 4.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Geomorphology (publishedVersion)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Earth-Surface Processes › Hydrology and Sediment Transport Processes
- Physical Sciences › Environmental Science › Global and Planetary Change › Flood Risk Assessment and Management
- Physical Sciences › Engineering › Civil and Structural Engineering › Hydraulic flow and structures
- Keywords
- gravel-bed rivers, digital terrain model, HEC-RAS, cross-section extraction, flood inundation, shear stress, specific stream power, sediment aggradation, river restoration, scenario-based assessment, geographic information systems
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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Creating and coupling a high-resolution DTM with a 1-D hydraulic model in a GIS for scenario-based assessment of avulsion hazard in a gravel-bed river. https://app.cochat.ai/papers/10.1016/j.geomorph.2009.06.034
- The paper
- Aggett, G. R., & Wilson, J. P. (2009). Creating and coupling a high-resolution DTM with a 1-D hydraulic model in a GIS for scenario-based assessment of avulsion hazard in a gravel-bed river. Geomorphology. https://doi.org/10.1016/j.geomorph.2009.06.034
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.
