scholarly journals Estimating bedload from suspended load and water discharge in sand bed rivers

2020 ◽  
Author(s):  
Thomas Ashley ◽  
Brandon McElroy ◽  
Daniel Buscombe ◽  
Matt Kaplinski ◽  
Paul Grams
2020 ◽  
Vol 56 (2) ◽  
Author(s):  
T. C. Ashley ◽  
B. McElroy ◽  
D. Buscombe ◽  
P. E. Grams ◽  
M. Kaplinski

1973 ◽  
Vol 28 (3) ◽  
pp. 137-151 ◽  
Author(s):  
B. E. Peters-Kümmerly

Abstract. The amount and composition of suspended load from 19 stations in Swiss rivers werestudied. Generally, the correlation between the amount of suspended load and of water discharge is good, although measurements over short periods of time show large fluctuations. The denudation rate was calculated from the suspended load discharge, the amount of elements in Solution, and the water discharge. Values of about 0.05 mm/yr were obtained for drainage areas consisting mainly of crystalline rocks and about 0.25 mm/yr for drainage areas dominated by sedimentary rocks. The mineralogical composition of the suspended load determined by X-ray diffraction can be correlated with the rock types in the drainage areas. Composition changes resulting from transportation were not observed. The clay fraction is mainly composed of illite and chlorite which was, for the most part, formed during mechanical weathering in the Alps.


Elem Sci Anth ◽  
2018 ◽  
Vol 6 ◽  
Author(s):  
Stephanie A. Higgins ◽  
Irina Overeem ◽  
Kimberly G. Rogers ◽  
Evan A. Kalina

To expand agricultural production and address water scarcity, India is moving forward with the National River Linking Project (NRLP), which will connect 44 rivers via 9,600 km of canals. Here, we compile the first complete database of proposed NRLP dams, reservoirs and canals, including operating schedules for Himalayan infrastructure. We evaluate potential NRLP-derived changes to mean annual water discharge for 29 rivers and mean monthly water and sediment discharge for six rivers flowing to five major deltas. Sediment rating curves are used to quantify the impacts of changing water discharge within the rivers, and basin-wide trapping efficiency is established for new reservoirs. Given full implementation of the NRLP, we forecast reductions in annual suspended sediment transport to deltas of 40–85% (Mahanadi), 71–99% (Godavari) and 60–97% (Krishna) due to profound reservoir trapping and peak streamflow reductions. The Ganga before its confluence with the Brahmaputra is projected to experience a 39–75% reduction in annual suspended load. The Brahmaputra before its confluence with the Ganga is projected to experience a 9–25% reduction in suspended load, despite losing only 6% of its annual water flow. We calculate a projected corresponding aggradation decrease for the Ganga-Brahmaputra delta from 3.6 to 2.5 mm y–1, which is a large enough change to drive relative sea-level rise at the delta front. At the remaining four deltas, the NRLP will exacerbate current sediment starvation. We reconstruct the annual water transfer volume proposed for the NRLP to be 245 km3 y–1, higher than previous estimates due to the inclusion of along-canal usage. If completed, the NRLP will transform watershed boundaries, with more than half of the land in India contributing a portion of its runoff to a new mouth. These impacts may have profound environmental and public health implications, particularly in the context of future climate change.


Author(s):  
Anatoly Kusher

The reliability of water flow measurement in irrigational canals depends on the measurement method and design features of the flow-measuring structure and the upstream flow velocity profile. The flow velocity profile is a function of the channel geometry and wall roughness. The article presents the study results of the influence of the upstream flow velocity profile on the discharge measurement accuracy. For this, the physical and numerical modeling of two structures was carried out: a critical depth flume and a hydrometric overfall in a rectangular channel. According to the data of numerical simulation of the critical depth flume with a uniform and parabolic (1/7) velocity profile in the upstream channel, the values of water discharge differ very little from the experimental values in the laboratory model with a similar geometry (δ < 2 %). In contrast to the critical depth flume, a change in the velocity profile only due to an increase in the height of the bottom roughness by 3 mm causes a decrease of the overfall discharge coefficient by 4…5 %. According to the results of the numerical and physical modeling, it was found that an increase of backwater by hydrometric structure reduces the influence of the upstream flow velocity profile and increases the reliability of water flow measurements.


2013 ◽  
Vol 11 (4) ◽  
pp. 457-466

Artificial neural networks are one of the advanced technologies employed in hydrology modelling. This paper investigates the potential of two algorithm networks, the feed forward backpropagation (BP) and generalized regression neural network (GRNN) in comparison with the classical regression for modelling the event-based suspended sediment concentration at Jiasian diversion weir in Southern Taiwan. For this study, the hourly time series data comprised of water discharge, turbidity and suspended sediment concentration during the storm events in the year of 2002 are taken into account in the models. The statistical performances comparison showed that both BP and GRNN are superior to the classical regression in the weir sediment modelling. Additionally, the turbidity was found to be a dominant input variable over the water discharge for suspended sediment concentration estimation. Statistically, both neural network models can be successfully applied for the event-based suspended sediment concentration modelling in the weir studied herein when few data are available.


Author(s):  
Christopher J. Fridrich ◽  
Ren A. Thompson ◽  
Janet L. Slate ◽  
M.E. Berry ◽  
Michael N. Machette

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