scholarly journals Soil erosion and sediment transport in Tanzania: Part I ‐ sediment source tracing in three neighbouring river catchments

2021 ◽  
Author(s):  
Maarten Wynants ◽  
Linus Munishi ◽  
Kelvin Mtei ◽  
Samuel Bodé ◽  
Aloyce Patrick ◽  
...  
Keyword(s):  
Sediment Transport ◽  
Soil Erosion ◽  
Sediment Source ◽  
Source Tracing ◽  
River Catchments

Sediment source tracing with stratified sampling and weightings based on spatial gradients in soil erosion

2015 ◽  
Vol 15 (10) ◽  
pp. 2038-2051 ◽  
Author(s):  
Scott N. Wilkinson ◽  
Jon M. Olley ◽  
Takahisa Furuichi ◽  
Joanne Burton ◽  
Anne E. Kinsey-Henderson
Keyword(s):  
Soil Erosion ◽  
Stratified Sampling ◽  
Sediment Source ◽  
Spatial Gradients ◽  
Source Tracing

scholarly journals Using SWAT to Evaluate Streamflow and Lake Sediment Loading in the Xinjiang River Basin with Limited Data

Water ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 39 ◽  
Author(s):  
Lifeng Yuan ◽  
Kenneth J. Forshay
Keyword(s):  
Soil Erosion ◽  
River Basin ◽  
Lake Sediment ◽  
Sediment Yield ◽  
Sediment Load ◽  
Poyang Lake ◽  
Sediment Source ◽  
Sediment Loading ◽  
Source Areas ◽  
Annual Sediment

Soil erosion and lake sediment loading are primary concerns of watershed managers around the world. In the Xinjiang River Basin of China, severe soil erosion occurs primarily during monsoon periods, resulting in sediment flow into Poyang Lake and subsequently causing lake water quality deterioration. Here, we identified high-risk soil erosion areas and conditions that drive sediment yield in a watershed system with limited available data to guide localized soil erosion control measures intended to support reduced sediment load into Poyang Lake. We used the Soil and Water Assessment Tool (SWAT) model to simulate monthly and annual sediment yield based on a calibrated SWAT streamflow model, identified where sediment originated, and determined what geographic factors drove the loading within the watershed. We applied monthly and daily streamflow discharge (1985–2009) and monthly suspended sediment load data (1985–2001) to Meigang station to conduct parameter sensitivity analysis, calibration, validation, and uncertainty analysis of the model. The coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), percent bias (PBIAS), and RMSE -observation’s standard deviation ratio (RSR) values of the monthly sediment load were 0.63, 0.62, 3.8%, and 0.61 during calibration, respectively. Spatially, the annual sediment yield rate ranged from 3 ton ha−1year−1 on riparian lowlands of the Xinjiang main channel to 33 ton ha−1year−1 on mountain highlands, with a basin-wide mean of 19 ton ha−1year−1. The study showed that 99.9% of the total land area suffered soil loss (greater than 5 ton ha−1year−1). More sediment originated from the southern mountain highlands than from the northern mountain highlands of the Xinjiang river channel. These results suggest that specific land use types and geographic conditions can be identified as hotspots of sediment source with relatively scarce data; in this case, orchards, barren lands, and mountain highlands with slopes greater than 25° were the primary sediment source areas. This study developed a reliable, physically-based streamflow model and illustrates critical source areas and conditions that influence sediment yield.

Soil erosion and sediment transport under climate change for Mera River, in Italian Alps of Valchiavenna

2021 ◽  
pp. 150651
Author(s):  
L. Maruffi ◽  
L. Stucchi ◽  
F. Casale ◽  
D. Bocchiola
Keyword(s):  
Climate Change ◽  
Sediment Transport ◽  
Soil Erosion ◽  
Italian Alps

scholarly journals Modeling the dynamics of soil erosion and size-selective sediment transport over nonuniform topography in flume-scale experiments

2011 ◽  
Vol 47 (2) ◽  
Author(s):  
B. C. P. Heng ◽  
G. C. Sander ◽  
A. Armstrong ◽  
J. N. Quinton ◽  
J. H. Chandler ◽  
...  
Keyword(s):  
Sediment Transport ◽  
Soil Erosion

Soil Erosion and Sediment Transport in the Morogoro River Catchment, Tanzania

1972 ◽  
Vol 54 (3-4) ◽  
pp. 125-155 ◽  
Author(s):  
Anders Rapp ◽  
Valter Axelsson ◽  
Len Berry ◽  
D. Hammond Murray-Rust
Keyword(s):  
Sediment Transport ◽  
Soil Erosion ◽  
River Catchment

Storm event sediment fingerprinting for temporal and spatial sediment source tracing

2020 ◽  
Vol 34 (15) ◽  
pp. 3370-3386
Author(s):  
Simon S. Vale ◽  
Ian C. Fuller ◽  
Jonathan N. Procter ◽  
Les R. Basher ◽  
John R. Dymond
Keyword(s):  
Storm Event ◽  
Sediment Source ◽  
Sediment Fingerprinting ◽  
Source Tracing ◽  
Temporal And Spatial

Tracing of soil erosion and sediment transport by 10Be isotope in watershed of the Yellow River Source Area (YRSA)-Tibet Plateau

2017 ◽  
Author(s):  
Peng Chen ◽  
Peng Yi ◽  
Ala Aldahan ◽  
Ahmed Murad ◽  
Göran Possnert
Keyword(s):  
Sediment Transport ◽  
Soil Erosion ◽  
Yellow River ◽  
Source Area ◽  
Tibet Plateau ◽  
The Yellow River ◽  
Yellow River Source

Study on the Tidal Current and Suspended Sediment Transport in Taizhou Bay

2012 ◽  
Vol 212-213 ◽  
pp. 55-58
Author(s):  
Jie He ◽  
Xin Sheng Zhao ◽  
Yu Fan Zhu
Keyword(s):  
Sediment Transport ◽  
Numerical Model ◽  
Suspended Sediment ◽  
Tidal Current ◽  
Sediment Concentration ◽  
Suspended Sediment Transport ◽  
Sediment Source ◽  
Sea Floor ◽  
Hydrologic Data ◽  
The Way

Taizhou Bay is an estuary with high tidel range, middle tidal current and low sediment concentration. For the sea floor is very dense, it is stable in the usual water regimen. The numerical model is introduced to simulate the suspended sediment transport in Taizhou Bay. And the recent hydrologic data and the seabed change have been validated by the numerical model. The movement of tidal current and sediment in Dagagn Bay are simulated, and the sediment siltation in port designed is calculated by the model. The results show that the sediment source is from the shoal produced by the ebb current, and the sediment silting is decreased two-thirds by the cofferdam back of the bay, because the way of the suspended sediment is stopped by the cofferdam from the shoal to the harbor.

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