Abstract:Abstract:At the Satino site in the center of the Russian Plain, major events of the Holocene erosion history are concentrated on sides of river valleys incised into smooth moraine landscape. Valley sides are dissected by Pleistocene gullies. Extraordinary for the Holocene was formation of four new permanent gullies. Three of them had appeared in the Late Atlantic -Early Subboreal time. One gully permitted direct dating of the fan base, which gave estimation of its appearance between 4.3-4.6 ka BP (cal). Two ot… Show more
“…In terms of their geometry, alluvial rivers are self-forming and operate most effectively by moving water and sediment from their drainage basins under conditions approximating bankfull flow (Wolman and Miller, 1960). They exhibit stable channel geometries, which can be predicted with reasonable accuracy using 'regime theory' for stable canals (Lacey, 1929(Lacey, , 1933(Lacey, , 1946(Lacey, , 1958Blench, 1952Blench, , 1969Blench, , 1970Simons and Albertson, 1960) and 'hydraulic geometry' for stable river channels (Leopold and Maddock, 1953;Parker, 1979;Huang and Warner, 1995;Huang and Nanson, 1995, 1998.…”
Section: Clarifying the Confusion Of Multiple Extremal Hypothesesmentioning
The energy based least action principle (LAP) has proven to be very successful for explaining natural phenomena in both classical and modern physics. This paper briefly reviews its historical development and details how, in three ways, it governs the behaviour and stability of alluvial rivers. First, the LAP embodies the special stationary equilibrium state of motion and so its incorporation with the principle of energy conservation explains why so many optimizing hypotheses have been proposed in fluvial geomorphology. Second, the variational approach underlying the LAP provides a more straightforward and simpler fuzzy-object orientated method for solving river regime problems than do the various complex Newtonian formulations. Third, it is shown that in fluvial systems with surplus energy the surplus can be expended with slope and/or channel geometry adjustments, with the degree of channel geometry adjustment quantified by the dimensionless numbers F for depth dominated adjustment and H for width/depth dominated adjustment. Different planforms are preferred at different energy levels, with H providing a quantitative measure of the flow's efficiency for moving sediment. In rivers with insufficient energy, the interactions of endogenous and exogenous factors are shown to be capable, in certain circumstances, of achieving a stationary equilibrium condition which acts as the attractor state. Importantly, this study describes how iterative changes enable systems to achieve such a stable equilibrium.
“…In terms of their geometry, alluvial rivers are self-forming and operate most effectively by moving water and sediment from their drainage basins under conditions approximating bankfull flow (Wolman and Miller, 1960). They exhibit stable channel geometries, which can be predicted with reasonable accuracy using 'regime theory' for stable canals (Lacey, 1929(Lacey, , 1933(Lacey, , 1946(Lacey, , 1958Blench, 1952Blench, , 1969Blench, , 1970Simons and Albertson, 1960) and 'hydraulic geometry' for stable river channels (Leopold and Maddock, 1953;Parker, 1979;Huang and Warner, 1995;Huang and Nanson, 1995, 1998.…”
Section: Clarifying the Confusion Of Multiple Extremal Hypothesesmentioning
The energy based least action principle (LAP) has proven to be very successful for explaining natural phenomena in both classical and modern physics. This paper briefly reviews its historical development and details how, in three ways, it governs the behaviour and stability of alluvial rivers. First, the LAP embodies the special stationary equilibrium state of motion and so its incorporation with the principle of energy conservation explains why so many optimizing hypotheses have been proposed in fluvial geomorphology. Second, the variational approach underlying the LAP provides a more straightforward and simpler fuzzy-object orientated method for solving river regime problems than do the various complex Newtonian formulations. Third, it is shown that in fluvial systems with surplus energy the surplus can be expended with slope and/or channel geometry adjustments, with the degree of channel geometry adjustment quantified by the dimensionless numbers F for depth dominated adjustment and H for width/depth dominated adjustment. Different planforms are preferred at different energy levels, with H providing a quantitative measure of the flow's efficiency for moving sediment. In rivers with insufficient energy, the interactions of endogenous and exogenous factors are shown to be capable, in certain circumstances, of achieving a stationary equilibrium condition which acts as the attractor state. Importantly, this study describes how iterative changes enable systems to achieve such a stable equilibrium.
“…The question of whether, over the longer term, the total mass of sediment moved during periods of high flow (with their low frequency of occurrence) exceeds that transported by more frequently occurring, lower-flow conditions is a long-standing one in fluvial geomorphology [Wolman and Miller, 1960;Pickup and Warner, 1976;Nash, 1994]. Indeed, Pickup and Warner [1976] found that for bed load transport within a relatively small creek near Sydney, flows of moderate magnitude and frequency dominated net bed load transport.…”
Section: Importance Of High-flow Periods In Long-term Suspended Sedimmentioning
[1] Knowledge of suspended sediment loads in rivers is essential for catchment management purposes and study of landscape evolution. Obtaining such information is difficult because of the often sparse physical sampling of sediment concentrations and high temporal variability in discharge and sediment concentration, as well as strong hysteretic effects and temporal and spatial variations in catchment condition. Here bootstrap and Monte Carlo resampling techniques are used to calculate suspended sediment loads using sediment rating curves. The method proposed avoids the need to apply a bias correction factor to load estimates calculated using rating curves defined by least squares regression of log-transformed data. The algorithm also quantifies uncertainty in suspended sediment load estimates arising from uncertainty in the shape of the rating curve and the residual scatter in the data. Applied to 11 gauging stations in the catchment of Lake Burragorang in Australia, the method produced suspended sediment yields consistent with other Australian observations. The majority of the sediment delivered to the lake comes via the lower Wollondilly River (251 À49 +264 kt a À1 ), with lesser contributions from the Kowmung (114 À30 +62 kt a À1 ) and Cox's (63 À14 +81 kt a À1 ) rivers. Despite uncertainty in the shape of the rating curve at high flows, days with the largest flow clearly transport most of the suspended sediment delivered to the reservoir over the long term, with 40-85% of the total load being transported in <1% of the time. This bootstrap-based method could be applied to the calculation of other constituent fluxes in rivers where discrete sampling of constituent concentration serves as the principal data.Citation: Rustomji, P., and S. N. Wilkinson (2008), Applying bootstrap resampling to quantify uncertainty in fluvial suspended sediment loads estimated using rating curves, Water Resour. Res., 44, W09434,
“…The importance of the frequency spectra of g½omorphic events is a fundamental problem in g½omorphic research. Much of the previous research on this problem has focused on defining the recurrence interval of the most effective g½omo•hic event, with "effectiveness" defined either on the basis of denudation rate [e.g., Wolman and Miller, 1960 Wolman and Gerson, 1978]. Scant attention has been paid, however, to the question of how intrinsic variability in g½omo•hic forces impacts the morpholo• and ra•½ of evolution of landforms.…”
Abstract. We develop a simple stochastic theory for erosion and sediment transport, based on the Poisson pulse rainfall model, in order to analyze how variability in rainfall and runoff influences drainage basin evolution. Two cases are considered: sediment transport by runoff in rills and channels and particle detachment from bedrock or cohesive soils. Analytical and numerical results show that under some circumstances, rainfall variability can have an impact equal to or greater than that of mean rainfall amount. The predicted sensitivity to rainfall variability is greatest when (1) thresholds for runoff generation and/or particle detachment are significant and/or (2) erosion and transport are strong nonlinear functions of discharge. In general, sediment transport capacity is predicted to increase with increasing rainfall variability. Depending on the degree of nonlinearity, particle detachment capacity may either increase or decrease with increasing rainfall variability. These findings underscore the critical importance of hydrogeomorphic thresholds and other sources of nonlinearity in process dynamics. The morphologic consequences of rainfall variability are illustrated by incorporating the pulse rainfall theory into a landscape simulation model. The simulation results imply that, all else being equal, catchments experiencing a shift toward greater climate variability will tend to have (1) higher erosion rates, (2) higher drainage density (because of increased runoff erosion efficiency), and ultimately (3) reduced relief. The stochastic approach provides a useful method for incorporating physically meaningful climate data within the current generation of landscape evolution models.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.