The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Terrain‐based catchment partitioning and runoff prediction using vector elevation data
Abstract
An automated method of partitioning catchments into interconnected elements using a “stream tube” approach and vector or contour‐based digital elevation models is briefly described. With this form of partitioning, hydrologic models can be structured based on the hydraulics of flow within a catchment and the effects of topography on runoff producing mechanisms and spatially distributed flow characteristics (such as flow depth and velocity) can be directly, and realistically, accounted for in the models. The method allows complex three‐dimensional flow problems to be reduced to a series of coupled one‐dimensional problems in areas with complex terrain. Two simple process‐oriented hydrologic models that demonstrate the utility of this form of partitioning are presented. The first models subsurface flow‐saturation overland flow and the second models Hortonian overland flow. Observed and predicted runoff hydrographs and the dynamic expansion and contraction of runoff source areas on a small laboratory microcatchment are presented. Also shown are predicted runoff hydrographs and surface flow velocities on a small rangeland catchment in the United States.
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Cites
BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670
Hydraulic properties of porous media
Brooks, R. H., & Corey, A. T. (1963) · Digital Collections of Colorado (Colorado State University) · Cited by 5,509
A physically based, variable contributing area model of basin hydrology
Kirkby, M. J., & Beven, K. (1979) · Lancaster EPrints (Lancaster University) · Cited by 3,962
Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
Moore, I. D., Grayson, R. B., & Ladson, A. R. (1991) · Hydrological Processes · doi:10.1002/hyp.3360050103 · Cited by 3,466
Self-citationHeber Green, W., & Ampt, G. A. (1911) · The Journal of Agricultural Science · doi:10.1017/s0021859600001441 · Cited by 2,449
The Rôle of infiltration in the hydrologic cycle
(1933) · Eos, Transactions American Geophysical Union · doi:10.1029/tr014i001p00446 · Cited by 1,727
Changing ideas in hydrology — The case of physically-based models
Beven, K. (1989) · Journal of Hydrology · doi:10.1016/0022-1694(89)90101-7 · Cited by 1,601
Knisel, W. G. (1980) · Cited by 1,299
Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., & Rasmussen, J. (1986) · Journal of Hydrology · doi:10.1016/0022-1694(86)90115-0 · Cited by 1,174
Partial Area Contributions to Storm Runoff in a Small New England Watershed
Dunne, T., & Black, R. D. (1970) · Water Resources Research · doi:10.1029/wr006i005p01296 · Cited by 1,152
Cited by
A Distributed Slope Stability Model for Steep Forested Basins
Wu, W., & Sidle, R. C. (1995) · Water Resources Research · doi:10.1029/95wr01136 · Cited by 657
Costa‐Cabral, M. C., & Burges, S. J. (1994) · Water Resources Research · doi:10.1029/93wr03512 · Cited by 490
Physically based modeling in catchment hydrology at 50: Survey and outlook
Paniconi, C., & Putti, M. (2015) · Water Resources Research · doi:10.1002/2015wr017780 · Cited by 374
Hydrologic‐Response simulations for the R‐5 catchment with a comprehensive physics‐based model
VanderKwaak, J. E., & Loague, K. (2001) · Water Resources Research · doi:10.1029/2000wr900272 · Cited by 324
Metadata
- Authors
- Moore, I. D., & Grayson, R. B.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 1991-06
- Volume
- 27
- Issue
- 6
- Pages
- 1177-1191
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W2027804648
- Cited by
- 310
- References
- 39
- FWCI
- 16.64
- Type
- journal article
- Language
- en
- Open access
- closed
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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).
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