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Stream power

About: Stream power is a research topic. Over the lifetime, 1135 publications have been published within this topic receiving 51324 citations.


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Journal ArticleDOI
TL;DR: In this article, the authors analyzed the variation in flood power both at-a-station and downstream in a basin of differing lithologies, and discussed the geologic and geomorphic controls on flood power.

319 citations

Journal ArticleDOI
TL;DR: In this paper, a linear relationship between the logarithm of the total sediment concentration and the effective unit stream power was shown to dominate the sediment concentration in an alluvial channel, where the coefficients in the proposed equation were related to particle size and water depth.
Abstract: A thorough study of the existing applicable data reveals the basic reason that previous equations often provide misleading predictions of the sediment transport rates. The error stems from the unrealistic assumptions made in their derivations. Unit stream power, defined as the time rate of potential energy expenditure per unit weight of water in an alluvial channel, is shown to dominate the total sediment concentration. Statistical analyses of 1,225 sets of laboratory flume data and 50 sets of field data indicate the existence and the generality of the linear relationship between the logarithm of total sediment concentration and the logarithm of the effective unit stream power. The coefficients in the proposed equation are shown to be related to particle size and water depth, or particle size and width-depth ratio. An equation generalized from Gilbert's data can be applied to natural streams for the prediction of total sediment discharge with good accuracy.

319 citations

Journal ArticleDOI
TL;DR: In this paper, a detailed hand level survey of the hillslopes and stream channel longitudinal profiles constrain hillslope evolution and channel incision components of a numerical model of landscape evolution.
Abstract: A flight of marine terraces along the central California coastline provides a unique setting for the study of topographic evolution. Wavecut platforms mantled by 2–6 m of marine terrace cover deposits are separated by 10–50 m tall decaying sea cliffs. Paleocliff edges become more rounded with age, yet the details of the profiles and frequent bedrock exposure on the upper slopes imply weathering-limited transport. Five bedrock stream channels etched through the marine terrace sequence display one to three distinct convexities in their longitudinal profiles. Detailed hand level surveys of the hillslopes and of the stream channel longitudinal profiles constrain hillslope evolution and channel incision components of a numerical model of landscape evolution. We account for regolith production as a function of regolith depth. In accord with the field observation that hillslope processes are presently dominated by the activities of burrowing rodents, the transport process is taken to be diffusive. Stream incision is assumed to be controlled by stream power, for which we use the surrogate of local drainage area-slope product. Best fits of the numerical model to field data imply: hillslope diffusivity is 10 m2 kyr−1; regolith production rate on bare bedrock is 0.3 m kyr−1, and falls off rapidly with regolith cover, and the constant controlling the efficiency of stream incision is 5 to 7×10−7m−1 kyr1.

310 citations

Journal ArticleDOI
TL;DR: In this paper, a statistically significant power relationship is found between distance of headward recession and catchment area, which is used to determine the values of m and n in the stream power law, E = KAmSn.
Abstract: Knickpoint behaviour is a key to understanding both the landscape responses to a base-level fall and the corresponding sediment fluxes from rejuvenated catchments, and must be accommodated in numerical models of large-scale landscape evolution. Knickpoint recession in streams draining to glacio-isostatically uplifted shorelines in eastern Scotland is used to assess whether knickpoint recession is a function of discharge (here represented by its surrogate, catchment area). Knickpoints are identified using DS plots (log slope versus log downstream distance). A statistically significant power relationship is found between distance of headward recession and catchment area. Such knickpoint recession data may be used to determine the values of m and n in the stream power law, E = KAmSn. The data have too many uncertainties, however, to judge definitively whether they are consistent with m = n = 1 (bedrock erosion is proportional to stream power and KPs should be maintained and propagate headwards) or m = 0·3, n = 0·7 (bedrock incision is proportional to shear stress and KPs do not propagate but degrade in place by rotation or replacement). Nonetheless, the E Scotland m and n values point to the dominance of catchment area (discharge) in determining knickpoint retreat rates and are therefore more consistent with the stream power law formulation in which bedrock erosion is proportional to stream power. Copyright © 2005 John Wiley & Sons, Ltd.

308 citations

Journal ArticleDOI
TL;DR: In this article, the lateral migration rates of sediment entrainment in 21 clay, sand and gravel rivers in western Canada were measured using time sequential aerial photographs flown approximately 20 to 30 years apart, and they were transformed to a reference bend curvature (r/w = 2.5).
Abstract: Time sequential aerial photographs flown approximately 20 to 30 years apart have been used to measure the lateral migration rates of 189 bends on 21 clay, sand and gravel rivers in western Canada. Channel migration rates transformed to a reference bend curvature (r/w = 2.5) are shown to be a simple function of stream power, outer-bank height, and a coefficient of resistance to lateral migration Υ\N\db. This coefficient in turn is shown to be a function of the texture of the outer bank materials, with a complex form similar to that of the Hjulstrom or Shields sediment entrainment function. The task of specifying the channel migration rate appears to be essentially a sediment transport problem.

308 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202351
2022103
202154
202067
201952
201847