scholarly journals Quantifying the spatial distribution of sediment transport in an experimental gully system using the morphological method

2021 ◽  
Author(s):  
Wen Dai ◽  
Liyang Xiong ◽  
Gilles Antoniazza ◽  
Guoan Tang ◽  
Stuart N. Lane
Keyword(s):  
Spatial Distribution ◽  
Sediment Transport ◽  
Morphological Method

Spatial distribution of wind-driven sediment transport rate in a fallow plot in Central Anatolia, Turkey

2017 ◽  
Vol 31 (2) ◽  
pp. 125-139 ◽  
Author(s):  
Oguzhan Uzun ◽  
Sema Kaplan ◽  
Mustafa Basaran ◽  
Selen Deviren Saygın ◽  
Feras Youssef ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Sediment Transport ◽  
Transport Rate ◽  
Central Anatolia ◽  
Sediment Transport Rate

scholarly journals Spatial distribution of soil erosion and suspended sediment transport rate for Chou-Shui river basin

2014 ◽  
Vol 123 (7) ◽  
pp. 1517-1539 ◽  
Author(s):  
Chin-Ping Lin ◽  
Ching-Nuo Chen ◽  
Yu-Min Wang ◽  
Chih-Heng Tsai ◽  
Chang-Tai Tsai
Keyword(s):  
Spatial Distribution ◽  
Sediment Transport ◽  
Soil Erosion ◽  
Suspended Sediment ◽  
River Basin ◽  
Transport Rate ◽  
Suspended Sediment Transport ◽  
Sediment Transport Rate

scholarly journals Identifying sediment transport mechanisms from grain size-shape distributions

2019 ◽  
Author(s):  
Johannes Albert van Hateren ◽  
Unze van Buuren ◽  
Sebastiaan Martinus Arens ◽  
Ronald Theodorus van Balen ◽  
Maarten Arnoud Prins
Keyword(s):  
Grain Size ◽  
Spatial Distribution ◽  
Sediment Transport ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Grain Shape ◽  
Transport Processes ◽  
Transport Mechanisms ◽  
Aeolian Transport ◽  
Transport Mode

Abstract. The way in which sediment is transported (creep, saltation, suspension), is traditionally interpreted from grain size distribution characteristics. However, the grain size range associated with transitions from one transport mode to the other is highly variable because it depends on the amount of transport energy available. In this study we present a novel methodology for determination of the sediment transport mode based on grain size and shape data from dynamic image analysis. The data are integrated into grain size-shape distributions and primary components are determined using end-member modelling. In real-world datasets, primary components can be interpreted in terms of different transport mechanisms and/or sediment sources. Accuracy of the method is assessed using artificial datasets with known primary components that are mixed in known proportions. The results show that the proposed technique accurately identifies primary components with the exception of those primary components that only form minor contributions to the samples (highly mixed components). The new method is also tested on sediment samples from an active aeolian system in the Dutch coastal dunes. Aeolian transport processes and geomorphology of these type of systems are well known and can therefore be linked to the spatial distribution of end members to assess the physical significance of the method's output. The grain size-shape distributions of the dune dataset are unmixed into three primary components. The spatial distribution of these components is constrained by geomorphology and reflects the three dominant aeolian transport processes known to occur along a beach-dune transect: bedload on the beach and in notches that were dug by man through the shore-parallel foredune ridge, modified saltation on the windward and leeward slope of the intact foredune, and suspension in the vegetated hinterland. The three transport modes are characterised by distinctly different trends in grain shape with grain size: with increasing size, bedload shows a constant grain regularity, modified saltation a minor decrease in grain regularity and suspension a strong decrease in grain regularity. These trends, or in other words, the shape of the grain size-shape distributions, can be used to determine the transport mode responsible for a sediment deposit. Results of the method are therefore less ambiguous than those of traditional grain-size distribution end-member modelling, especially if multiple transport modes occur or if primary components overlap in terms of grain size but differ in grain shape.

scholarly journals Spatial distribution of cold-ice within a temperate glacier – implications for glacier dynamics, sediment transport and foreland geomorphology

2018 ◽  
Author(s):  
Benedict T. I. Reinardy ◽  
Adam Booth ◽  
Anna Hughes ◽  
Clare M. Boston ◽  
Henning Åkesson ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Sediment Transport ◽  
Ground Penetrating Radar ◽  
Radar Data ◽  
Ice Thickness ◽  
Direct Observations ◽  
Glacier Dynamics ◽  
Ground Penetrating

Abstract. This study suggests that cold-ice processes may be more widespread even within temperate glacial systems, than previously assumed. We present the first direct observations of cold-ice at the snout of the temperate glacier Midtdalsbreen an outlet of the Hardangerjøkulen icefield (Norway) from 43 line-kilometres of ground penetrating radar data. Results show a 40 m-wide cold-ice zone within the majority of the glacier snout, where ice thickness is

LABORATORY STUDY OF MIXED-SEDIMENT TRANSPORT AND ESTIMATION OF SPATIAL DISTRIBUTION OF FINE GRAVEL DUE TO INUNDATION FLOW

2020 ◽  
Vol 76 (2) ◽  
pp. I_589-I_594
Author(s):  
Takayuki SUZUKI ◽  
Aya KANEKO ◽  
Hiroto HIGA ◽  
Yoshiyuki NAKAMURA
Keyword(s):  
Spatial Distribution ◽  
Sediment Transport ◽  
Laboratory Study ◽  
Mixed Sediment ◽  
Fine Gravel

Inference of sediment transport pathways in a gully system using the morphological method

2020 ◽  
Author(s):  
Wen Dai ◽  
Stuart N. Lane ◽  
Guoan Tang
Keyword(s):  
Sediment Transport ◽  
Morphological Changes ◽  
Two Dimensions ◽  
Gully Erosion ◽  
Material Transport ◽  
Transport Pathways ◽  
Morphological Method ◽  
Multi Temporal ◽  
Total Transport ◽  
Topographic Attributes

<p>Gully erosion seriously threatens farmland and causes soil loss. Inferring sediment transport paths in a gully system is important for understanding the mechanisms of gully erosion. The morphological method successfully applied in estimating bed-material transport in both one dimension and two-dimensions in rivers, for some decades, has yet to be applied to gully erosion. Here, we infer sediment transport paths in a gully system using the morphological method. Two catchments in the Loess Plateau of China were selected as study areas. Multi-temporal high-resolution Digital Elevation Models (DEMs) were acquired using structure-from-motion multiview-stereo (SfM-MVS) photogrammetry for determining morphological changes. Then, both 1D sediment transport and 2D sediment transport paths were calculated based on morphological changes and topographic attributes. The results showed that the use of 1D treatment leads to substantial local errors in transport rate estimates, to a degree related to the number of branch gullies. The 2D application showed that a large proportion of the total transport was actually concentrated into one main channel in steep areas, the proportion of transport in branches is substantial in lower relief areas.</p>

scholarly journals Identifying sediment transport mechanisms from grain size–shape distributions, applied to aeolian sediments

2020 ◽  
Vol 8 (2) ◽  
pp. 527-553
Author(s):  
Johannes Albert van Hateren ◽  
Unze van Buuren ◽  
Sebastiaan Martinus Arens ◽  
Ronald Theodorus van Balen ◽  
Maarten Arnoud Prins
Keyword(s):  
Grain Size ◽  
Spatial Distribution ◽  
Sediment Transport ◽  
Size Distribution ◽  
Grain Size Distribution ◽  
Grain Shape ◽  
Transport Processes ◽  
Transport Mechanisms ◽  
Aeolian Transport ◽  
Transport Mode

Abstract. The way in which sediment is transported (creep, saltation, suspension), is traditionally interpreted from grain size distribution characteristics. However, the grain size range associated with transitions from one transport mode to the other is highly variable because it depends on the amount of transport energy available. In this study we present a novel methodology for determination of the sediment transport mode based on grain size and shape data from dynamic image analysis. The data are integrated into grain size–shape distributions, and primary components are determined using endmember modelling. In real-world datasets, primary components can be interpreted in terms of different transport mechanisms and/or sediment sources. Accuracy of the method is assessed using artificial datasets with known primary components that are mixed in known proportions. The results show that the proposed technique accurately identifies primary components, with the exception of those primary components that only form minor contributions to the samples (highly mixed components). The new method is tested on sediment samples from an active aeolian system in the Dutch coastal dunes. Aeolian transport processes and geomorphology of these type of systems are well known and can therefore be linked to the spatial distribution of endmembers to assess the physical significance of the method's output. The grain size–shape distributions of the aeolian dune dataset are unmixed into three primary components. The spatial distribution of these components is constrained by geomorphology and reflects the three dominant aeolian transport processes known to occur along a beach–dune transect: bedload on the beach and in notches that were dug by man through the shore-parallel foredune ridge, modified saltation on the windward and leeward slope of the intact foredune, and suspension in the vegetated hinterland. The three transport modes are characterised by distinctly different trends in grain shape with grain size: with increasing size, bedload shows a constant grain regularity, modified saltation a minor decrease in grain regularity, and suspension a strong decrease in grain regularity. These trends, or in other words, the shape of the grain size–shape distributions, can be used to determine the transport mode responsible for an aeolian sediment deposit. Results of the method are therefore less ambiguous than those of traditional grain size distribution endmember modelling, especially if multiple transport modes occur or if primary components overlap in terms of grain size but differ in grain shape.

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