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Design for Stream Restoration

Shields, F. Douglas, Copeland, Ronald R., Klingeman, Peter C., Doyle, Martin W., Simon, Andrew·2003·Journal of Hydraulic Engineering
DOI 10.1061/(asce)0733-9429(2003)129:8(575
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Abstract

Stream restoration, or more properly rehabilitation, is the return of a degraded stream ecosystem to a close approximation of its remaining natural potential. Many types of practices (dam removal, levee breaching, modified flow control, vegetative methods for streambank erosion control, etc.) are useful, but this paper focuses on channel reconstruction. A tension exists between restoring natural fluvial processes and ensuring stability of the completed project. Sedimentation analyses are a key aspect of design since many projects fail due to erosion or sedimentation. Existing design approaches range from relatively simple ones based on stream classification and regional hydraulic geometry relations to more complex two- and three-dimensional numerical models. Herein an intermediate approach featuring application of hydraulic engineering tools for assessment of watershed geomorphology, channel-forming discharge analysis, and hydraulic analysis in the form of one-dimensional flow and sediment transport computations is described.

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Authors
Shields, F. D., Copeland, R. R., Klingeman, P. C., Doyle, M. W., & Simon, A.
Affiliations
  • Research Hydraulic Engineer, USDA Agricultural Research Service National Sedimentation Laboratory, P. O. Box 1157, Oxford, MS 38655-1157.
  • Consulting Hydraulic Engineer, Mobile Boundary Hydraulics, P. O. Box 264, Clinton, MS 39060.
  • Professor, Dept. of Civil Engineering, Oregon State Univ., Corvallis, OR 97331-2302.
  • Assistant Professor, Dept. of Geography, Univ. of North Carolina, Chapel Hill, NC 27599-3220.
  • Research Geologist, USDA ARS National Sedimentation Laboratory, P. O. Box 1157, Oxford, MS 38655-1157.
Venue
Journal of Hydraulic Engineering
Published
2003
DOI
10.1061/(asce)0733-9429(2003)129:8(575
References
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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.