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Experimental Fluvial Geomorphology
Abstract
This book brings together in one volume the results of experimental studies, begun in 1969, of drainage basin evolution and hydrology, river channel and valley morphology and behavior, and alluvial fan morphology and sedimentology. These studies were conducted at the Engineering Research Center of Colorado State University, Fort Collins, by the authors and their colleagues. Some of the results have been published previously in the scientific literature, but much of the work remained unpublished prior to the preparation of this book. The contents are organized in three parts: drainage basins, rivers and valleys, and alluvial fans and sedimentary deposits, each of which deals with morphology and dynamics as observed in experimental studies with applications to analogous prototypes in natural systems.
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Citations
Cited by
Effects of vegetation on channel morphodynamics: results and insights from laboratory experiments
Tal, M., & Paola, C. (2010) · Earth Surface Processes and Landforms · doi:10.1002/esp.1908 · Cited by 396
Weissmann, G. S., Hartley, A. J., Scuderi, L. A., Nichols, G. J., Owen, A., Wright, S., Felicia, A. L., Holland, F., & Anaya, F. M. L. (2015) · Geomorphology · doi:10.1016/j.geomorph.2015.09.005 · Cited by 134
Metadata
- Authors
- Hadley, R. F.
- Venue
- Eos, Transactions American Geophysical Union
- Publisher
- American Geophysical Union (AGU)
- Published
- 1988-08-09
- Volume
- 69
- Issue
- 32
- Pages
- 773-773
- ISSN
- 0096-3941 (ISSN-L)
- 2324-9250
- OpenAlex
- W1986966620
- Cited by
- 465
- References
- 0
- FWCI
- 14.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hadley, R. F. (1988). Experimental Fluvial Geomorphology. Eos, Transactions American Geophysical Union. https://doi.org/10.1029/88eo01058
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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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
