scholarly journals Suspended-sediment yields from an unmined area and from mined areas before and after reclamation in Pennsylvania, June 1978-September 1983

1989 ◽  
Keyword(s):  
Suspended Sediment ◽  
Sediment Yields ◽  
Before And After

scholarly journals Do suspended sediment and bedload move progressively from the summit to the sea along Magela Creek, northern Australia?

2015 ◽  
Vol 367 ◽  
pp. 283-290
Author(s):  
W. D. Erskine ◽  
M. J. Saynor ◽  
K. Turner ◽  
T. Whiteside ◽  
J. Boyden ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Suspended Sediment ◽  
Waste Rock ◽  
Uranium Mine ◽  
Northern Australia ◽  
Sediment Yields ◽  
Flood Plains ◽  
Erosion Rates ◽  
Base Level ◽  
Soil Erosion Rates

Abstract. Soil erosion rates on plots of waste rock at Ranger uranium mine and basin sediment yields have been measured for over 30 years in Magela Creek in northern Australia. Soil erosion rates on chlorite schist waste rock are higher than for mica schist and weathering is also much faster. Sediment yields are low but are further reduced by sediment trapping effects of flood plains, floodouts, billabongs and extensive wetlands. Suspended sediment yields exceed bedload yields in this deeply weathered, tropical landscape, but the amount of sand transported greatly exceeds that of silt and clay. Nevertheless, sand is totally stored above the topographic base level. Longitudinal continuity of sediment transport is not maintained. As a result, suspended sediment and bedload do not move progressively from the summit to the sea along Magela Creek and lower Magela Creek wetlands trap about 90.5% of the total sediment load input.

Suspended sediment and discharge dynamics across multiple spatial and temporal scales in a glaciated alpine environment: the case of the upper Ötztal, Austria

2021 ◽  
Author(s):  
Lena Katharina Schmidt ◽  
Till Francke ◽  
Theresa Blume ◽  
Johannes Schöber ◽  
Daniel Pfurtscheller ◽  
...  
Keyword(s):  
Suspended Sediment ◽  
Temporal Dynamics ◽  
Management Strategies ◽  
Transient State ◽  
Data Availability ◽  
Spatial And Temporal Scales ◽  
Sediment Yields ◽  
Catchment Areas ◽  
Suspended Sediment Concentrations ◽  
Alpine Catchments

<p>High alpine areas are affected disproportionately by global warming and are thus found to be in a transient state. This causes accelerating glacial retreat, which can have severe impacts on discharge and potentially sediment dynamics. Possible effects include changes in water quantities and hydrograph timing as well as changing sediment source areas and the associated magnitude and timing of transport capacities. In turn, the resulting changes in water and sediment supplies and timing have the potential to severely impact downstream ecosystems and infrastructure.</p><p>An essential step towards estimating the effects of future changes and developing sustainable management strategies is to quantify the behavior in the past and present. We therefore used the excellent data availability of discharge and suspended sediment concentrations in our study area in the upper Ötztal in Tyrol, Austria, to make such an assessment. We study discharge and suspended sediment concentrations, which have been monitored at three gauges and for a minimum of seven years in the case of the youngest gauge. The resulting nested catchment setup, with catchment sizes ranging between 98 km² and 785 km², allows us to learn about discharge and sediment fluxes and their spatial distribution, thus allowing us to quantify the relative importance of the glaciated areas as compared to the lower-lying catchment areas. It also allows us to study the temporal dynamics, such as the seasonal timing of the peaks and their interannual differences. In turn, the nested catchments allows us to investigate the spatial variability of these temporal dynamics.  </p><p>The results confirm the high specific sediment yields for alpine catchments in the order of 10³ t/km² per year and higher yields in areas with higher glacier cover as well as a very pronounced seasonality.</p>

scholarly journals Sediment Load and Suspended Sediment Concentration Prediction

2013 ◽  
Vol 1 (No. 1) ◽  
pp. 23-31 ◽  
Author(s):  
Bečvář Martin
Keyword(s):  
Suspended Sediment ◽  
Sediment Yield ◽  
Suspended Sediment Concentration ◽  
Sediment Load ◽  
Sediment Concentration ◽  
River Basins ◽  
River Systems ◽  
Sediment Yields ◽  
Suspended Sediment Concentrations ◽  
Annual Sediment

Sediment is a natural component of riverine environments and its presence in river systems is essential. However, in many ways and many places river systems and the landscape have been strongly affected by human activities which have destroyed naturally balanced sediment supply and sediment transport within catchments. As a consequence a number of severe environmental problems and failures have been identified, in particular the link between sediments and chemicals is crucial and has become a subject of major scientific interest. Sediment load and sediment concentration are therefore highly important variables that may play a key role in environment quality assessment and help to evaluate the extent of potential adverse impacts. This paper introduces a methodology to predict sediment loads and suspended sediment concentrations (SSC) in large European river basins. The methodology was developed within an MSc research study that was conducted in order to improve sediment modelling in the GREAT-ER point source pollution river modelling package. Currently GREAT-ER uses suspended sediment concentration of 15 mg/l for all rivers in Europe which is an obvious oversimplification. The basic principle of the methodology to predict sediment concentration is to estimate annual sediment load at the point of interest and the amount of water that transports it. The amount of transported material is then redistributed in that corresponding water volume (using the flow characteristic) which determines sediment concentrations. Across the continent, 44 river basins belonging to major European rivers were investigated. Suspended sediment concentration data were collected from various European basins in order to obtain observed sediment yields. These were then compared against the traditional empiric sediment yield estimators. Three good approaches for sediment yield prediction were introduced based on the comparison. The three approaches were applied to predict annual sediment yields which were consequently translated into suspended sediment concentrations. SSC were predicted at 47 locations widely distributed around Europe. The verification of the methodology was carried out using data from the Czech Republic. Observed SSC were compared against the predicted ones which validated the methodology for SSC prediction.

scholarly journals Fluvial suspended sediment yields over hours to millennia in the High Arctic at proglacial Lake Linnévatnet, Svalbard

2017 ◽  
Vol 43 (2) ◽  
pp. 482-498 ◽  
Author(s):  
Erik Schiefer ◽  
Darrell Kaufman ◽  
Nicholas McKay ◽  
Michael Retelle ◽  
Al Werner ◽  
...  
Keyword(s):  
Suspended Sediment ◽  
High Arctic ◽  
Sediment Yields ◽  
Proglacial Lake

scholarly journals Erosion thresholds and suspended sediment yields, Waipaoa River Basin, New Zealand

2000 ◽  
Vol 36 (4) ◽  
pp. 1129-1142 ◽  
Author(s):  
D. Murray Hicks ◽  
Basil Gomez ◽  
Noel A. Trustrum
Keyword(s):  
New Zealand ◽  
Suspended Sediment ◽  
River Basin ◽  
Sediment Yields

Sediment fluxes and sinks for Magela Creek, Northern Territory, Australia

2018 ◽  
Vol 69 (7) ◽  
pp. 1018 ◽  
Author(s):  
Wayne D. Erskine ◽  
M. J. Saynor ◽  
J. M. Boyden ◽  
K. G. Evans
Keyword(s):  
Suspended Sediment ◽  
Sediment Load ◽  
Northern Territory ◽  
Bed Load ◽  
Sediment Yields ◽  
Sediment Fluxes ◽  
Erosion Rates ◽  
Dry Tropics ◽  
The World ◽  
Total Sediment

Sediment fluxes and sinks based on total sediment load for Magela Creek in the Australian wet–dry tropics have been constructed from detailed measurements of stream suspended sediment (turbidity and suspended sand) and bed load for the 10-year period, 2001–2002 to 2010–2011. This work shows that the sediment trap efficiency of the vegetated wetlands on lower Magela is high at ~89.5%. Sediment fluxes are the lowest in the world because of low soil erosion rates and because upstream floodplains and downstream wetlands trap and store sediment. Bedload yields are less than suspended sediment yields, but the amount of silt and clay is much less than the amount of sand (suspended sand and bedload). All sand is stored upstream of the East Alligator River. Downstream connectivity of sediment movement does not occur. Therefore, sediment moves discontinuously from the upper to the lower catchment.

scholarly journals Reduced fine sediment flux in response to the managed diversion of an upland river channel

2015 ◽  
Vol 3 (4) ◽  
pp. 1179-1220
Author(s):  
M. T. Perks ◽  
J. Warburton
Keyword(s):  
Suspended Sediment ◽  
Fine Sediment ◽  
Sediment Flux ◽  
Analysis Of Covariance ◽  
Before And After ◽  
Suspended Sediment Concentrations ◽  
Sediment Transfer ◽  
The Uk ◽  
The Impact ◽  
B Coefficients

Abstract. This paper describes the implementation of a novel mitigation approach and subsequent adaptive management, designed to reduce the transfer of fine sediment in Glaisdale Beck; a small upland catchment in the UK. Hydro-meteorological and suspended sediment datasets are collected over a two year period spanning pre- and post-diversion periods in order to assess the impact of the channel reconfiguration scheme on the fluvial suspended sediment dynamics. Analysis of the river response demonstrates that the fluvial sediment system has become more restrictive with reduced fine sediment transfer. This is characterised by reductions in flow-weighted mean suspended sediment concentrations from 77.93 mg L−1 prior to mitigation, to 74.36 mg L−1 following the diversion. A Mann–Whitney U test found statistically significant differences (p < 0.001) between the pre- and post-monitoring median SSCs. Whilst application of one-way analysis of covariance (ANCOVA) on the coefficients of sediment rating curves developed before and after the diversion found statistically significant differences (p < 0.001), with both Log a and b coefficients becoming smaller following the diversion. Non-parametric analysis indicates a reduction in residuals through time (p < 0.001), with the developed LOWESS model over-predicting sediment concentrations as the channel stabilises. However, the channel is continuing to adjust to the reconfigured morphology, with evidence of a headward propagating knickpoint which has migrated 120 m at an exponentially decreasing rate over the last 7 years since diversion. The study demonstrates that channel reconfiguration can be effective in mitigating fine sediment flux in upland streams but the full value of this may take many years to achieve whilst the fluvial system, slowly readjusts.

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