A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d’appel variable de l’hydrologie du bassin versant
Open accessAbstract
A hydrological forecasting model is presented that attempts to combine the important distributed effects of channel network topology and dynamic contributing areas with the advantages of simple lumped parameter basin models. Quick response flow is predicted from a storage/contributing area relationship derived analytically from the topographic structure of a unit within a basin. Average soil water response is represented by a constant leakage infiltration store and an exponential subsurface water store. A simple non-linear routing procedure related to the link frequency distribution of the channel network completes the model and allows distinct basin sub-units, such as headwater and sideslope areas to be modelled separately. The model parameters are physically based in the sense that they may be determined directly by measurement and the model may be used at ungauged sites. Procedures for applying the model and tests with data from the Crimple Beck basin are described. Using only measured and estimated parameter values, without optimization, the model makes satisfactory predictions of basin response. The modular form of the model structure should allow application over a range of small and medium sized basins while retaining the possibility of including more complex model components when suitable data are available.
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This index, commonly used in environmental assessments, underscores the flood risks associated with these areas.
“This index, commonly used in environmental assessments, underscores the flood risks associated with these areas [67].”
From Urban Flood Vulnerability Assessment in Freetown, Sierra Leone: AHP Approach (2024) · cites this paper as [67]
Section 4 (page unavailable) uses ln(a/tan β) to identify saturated contributing areas and estimate overland flow during rainfall; Section 7 reports that a map of its values compares favourably with observed saturated areas. This supports a connection to runoff-prone areas, but the paper does not establish that the index is commonly used in environmental assessments or that it measures flood risk in the areas described by the citing sentence. (LLM, conf=0.82)
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- Authors
- BEVEN, K. J., & KIRKBY, M. J.
- Affiliations
- University of Leeds (GB)
- Venue
- Hydrological Sciences Bulletin
- Publisher
- Informa UK Limited
- Published
- 1979-03
- Volume
- 24
- Issue
- 1
- Pages
- 43-69
- ISSN
- 0303-6936 (ISSN-L)
- OpenAlex
- W1981646498
- Cited by
- 6,670
- References
- 27
- Citations by year
- 2026: 415 · 2025: 413 · 2024: 381 · 2023: 340 · 2022: 444 · 2021: 415 · 2020: 320 · 2019: 335 · 2018: 284 · 2017: 262 · 2016: 287 · 2015: 240 · 2014: 219 · 2013: 226 · 2012: 208
- FWCI
- 6.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Hydrological Sciences Bulletin (publishedVersion)
- Funders
- Natural Environment Research Council
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Environmental Engineering › Groundwater and Watershed Analysis
- Physical Sciences › Environmental Science › Environmental Engineering › Soil Moisture and Remote Sensing
- Keywords
- river basin hydrology, ungauged sites, physically based hydrological model
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.
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