scholarly journals Effect of Texture, Rainfall and Slope on Rainfall Interrill Sediment Transport

1991 ◽  
Vol 22 (4) ◽  
pp. 227-242 ◽  
Author(s):  
Avinash Agarwal ◽  
W.T. Dickinson
Keyword(s):  
Sediment Transport ◽  
Particle Diameter ◽  
Power Relationships ◽  
Transport Capacity ◽  
Dominant Effect ◽  
Sediment Transport Capacity ◽  
Sediment Size ◽  
Median Particle Diameter ◽  
Median Particle ◽  
Independent Variable

Experiments were conducted with rainfall intensities of 45.0 and 140.0 mm/hr at slopes of 2, 9 and 20 per cent to separate the dominant effect of rainfall intensity on sediment transport capacity. The effect of sediment size on rainintensity contribution to unit sediment transport capacity was also investigated. Regression models for rain-intensity contribution to unit sediment transport capacity Y were developed including median particle diameter X of sediment as an additional independent variable. The constants of power relationships of the form Y ≡ aXb were found to vary with the median particle diameter of the soil.

The Intrusion of Fine Sediments into a Stable Gravel Bed

1979 ◽  
Vol 36 (2) ◽  
pp. 204-210 ◽  
Author(s):  
Robert L. Beschta ◽  
William L. Jackson
Keyword(s):  
Sediment Transport ◽  
Pore Space ◽  
Particle Diameter ◽  
Experimental Tests ◽  
Gravel Bed ◽  
Fine Sediments ◽  
Median Particle Diameter ◽  
Key Words Sediment ◽  
Median Particle ◽  
Flow Variables

A rectangular flume was used to study variables affecting the intrusion of fine sands into a stable gravel streambed. The amount of intrusion by sand (median particle diameter 0.5 mm) was determined under varied conditions of discharge, depth, velocity, flume slope, and rates of sediment transport. During all experimental tests, sand particles were trapped in voids within the upper 10 cm of an initially clean gravel bed (median particle diameter 15 mm), forming a barrier to further intrusion. An analysis of flow variables showed that flow conditions, as indexed by Froude number, significantly (90% confidence level) affected intrusion amounts, possibly by influencing the rate and depth of formation of the sand seal. Intrusion amounts, expressed as a percent of total volume, varied from 2 to 8%. Two replications used a finer grade sand (median particle diameter 0.2 mm) that intruded more and, in one case, completely filled the gravel pore space (25% by volume), further indicating that particle size, and not hydraulic variables, may have a more important influence on the total amount of intrusion. Key words: sediment transport, intrusion, streambed, substrates, riffles, sedimentation

An expert system with radial basis function neural network based on decision trees for predicting sediment transport in sewers

2016 ◽  
Vol 74 (1) ◽  
pp. 176-183 ◽  
Author(s):  
Isa Ebtehaj ◽  
Hossein Bonakdari ◽  
Amir Hossein Zaji
Keyword(s):  
Neural Network ◽  
Expert System ◽  
Sediment Transport ◽  
Radial Basis Function ◽  
Decision Trees ◽  
Basis Function ◽  
Particle Diameter ◽  
Median Particle Diameter ◽  
Radial Basis ◽  
Median Particle

In this study, an expert system with a radial basis function neural network (RBF-NN) based on decision trees (DT) is designed to predict sediment transport in sewer pipes at the limit of deposition. First, sensitivity analysis is carried out to investigate the effect of each parameter on predicting the densimetric Froude number (Fr). The results indicate that utilizing the ratio of the median particle diameter to pipe diameter (d/D), ratio of median particle diameter to hydraulic radius (d/R) and volumetric sediment concentration (CV) as the input combination leads to the best Fr prediction. Subsequently, the new hybrid DT-RBF method is presented. The results of DT-RBF are compared with RBF and RBF-particle swarm optimization (PSO), which uses PSO for RBF training. It appears that DT-RBF is more accurate (R2 = 0.934, MARE = 0.103, RMSE = 0.527, SI = 0.13, BIAS = −0.071) than the two other RBF methods. Moreover, the proposed DT-RBF model offers explicit expressions for use by practicing engineers.

Effect of stem basal cover on the sediment transport capacity of overland flows

Geoderma ◽  
2019 ◽  
Vol 337 ◽  
pp. 384-393 ◽  
Author(s):  
Hongli Mu ◽  
Xianju Yu ◽  
Suhua Fu ◽  
Bofu Yu ◽  
Yingna Liu ◽  
...  
Keyword(s):  
Sediment Transport ◽  
Transport Capacity ◽  
Basal Cover ◽  
Sediment Transport Capacity ◽  
Overland Flows

scholarly journals Effect of hydraulic parameters on sediment transport capacity in overland flow over erodible beds

2012 ◽  
Vol 16 (2) ◽  
pp. 591-601 ◽  
Author(s):  
M. Ali ◽  
G. Sterk ◽  
M. Seeger ◽  
M. Boersema ◽  
P. Peters
Keyword(s):  
Shear Stress ◽  
Sediment Transport ◽  
Hydraulic Parameters ◽  
Transport Capacity ◽  
Slope Gradient ◽  
Mean Flow ◽  
Stream Power ◽  
Unit Discharge ◽  
Sediment Transport Capacity ◽  
Mean Flow Velocity

Abstract. Sediment transport is an important component of the soil erosion process, which depends on several hydraulic parameters like unit discharge, mean flow velocity, and slope gradient. In most of the previous studies, the impact of these hydraulic parameters on transport capacity was studied for non-erodible bed conditions. Hence, this study aimed to examine the influence of unit discharge, mean flow velocity and slope gradient on sediment transport capacity for erodible beds and also to investigate the relationship between transport capacity and composite force predictors, i.e. shear stress, stream power, unit stream power and effective stream power. In order to accomplish the objectives, experiments were carried out in a 3.0 m long and 0.5 m wide flume using four well sorted sands (0.230, 0.536, 0.719, 1.022 mm). Unit discharges ranging from 0.07 to 2.07 × 10−3 m2 s−1 were simulated inside the flume at four slopes (5.2, 8.7, 13.2 and 17.6%) to analyze their impact on sediment transport rate. The sediment transport rate measured at the bottom end of the flume by taking water and sediment samples was considered equal to sediment transport capacity, because the selected flume length of 3.0 m was found sufficient to reach the transport capacity. The experimental result reveals that the slope gradient has a stronger impact on transport capacity than unit discharge and mean flow velocity due to the fact that the tangential component of gravity force increases with slope gradient. Our results show that unit stream power is an optimal composite force predictor for estimating transport capacity. Stream power and effective stream power can also be successfully related to the transport capacity, however the relations are strongly dependent on grain size. Shear stress showed poor performance, because part of shear stress is dissipated by bed irregularities, bed form evolution and sediment detachment. An empirical transport capacity equation was derived, which illustrates that transport capacity can be predicted from median grain size, total discharge and slope gradient.

A Simplified Equation for Modeling Sediment Transport Capacity

1989 ◽  
Vol 32 (5) ◽  
pp. 1545-1550 ◽  
Author(s):  
S. C. Finkner ◽  
M. A. Hearing ◽  
G. R. Foster ◽  
J. E. Gilley
Keyword(s):  
Sediment Transport ◽  
Transport Capacity ◽  
Sediment Transport Capacity

scholarly journals Sediment transport capacity of concentrated flows on steep loessial slope with erodible beds

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Hai Xiao ◽  
Gang Liu ◽  
Puling Liu ◽  
Fenli Zheng ◽  
Jiaqiong Zhang ◽  
...  
Keyword(s):  
Sediment Transport ◽  
Transport Capacity ◽  
Sediment Transport Capacity ◽  
Erodible Beds
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