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12 results for “sediment mechanics”
Dataset for manuscript Tracing Quartz Provenance: A Multi-Disciplinary Investigation of Luminescence Sensitisation Mechanisms of Quartz from Granite Source Rocks and Derived Sediments
<p><span>Quartz optically stimulated luminescence (OSL) sensitivity as well as some electron spin resonance (ESR) and cathodoluminescence (CL) signals have been empirically proposed as provenance indicators. Sensitivity is defined as luminescence emitted in response to a given dose per unit mass. While it is largely believed to be acquired by earth surface processes, recent studies bring evidence that sensitisation processes depend on source geology.</span></p> <p><span>Here we combine OSL and thermoluminescence (TL), ESR and CL analyses to understand the mechanisms of quartz OSL sensitisation. We investigate granites and their derived sediments from catchments draining simple lithologies of known age that display contrasting OSL sensitisation behaviour both in nature and during irradiation and light exposure laboratory experiments. The sample displaying increased OSL sensitisation is characterised by TL emission at intermediate temperatures (150-250 °C), Ti-related signals in CL, and Ti and Ge lithium compensated signals in ESR. <span>The insensitive samples either lack or exhibit very weak such characteristics and contain several times less amount of trace titanium measured by </span></span><span>laser ablation inductively coupled plasma mass spectrometry (</span><span>LA-ICP-MS).</span></p> <p><span>We demonstrate that the OSL sensitisation results as an effect of the existence of certain defects and impurities in the quartz crystal in the parent rock, such as titanium and germanium. However, the degree of sensitisation reached in nature is significantly higher than in the laboratory. <span> </span>As such, the existence of this precursor represents the potential for sensitisation, which can later be amplified by environmental factors during sedimentary history.</span></p>
Insight into the Mechanical Coupling Behavior of Loose Sediment and Embedded Fiber-optic Cable using Discrete Element Method
<p>The dataset contains the simulation codes and generated data in the manuscript titled "Insight into the mechanical coupling behavior of loose sediment and embedded fiber-optic cable using discrete element method". The codes (M files) were written in MatDEM, version 3.0 (free access at <strong>www.matdem.com</strong>), and the data is stored in MAT files.</p> <ul> <li>Test2D_2L1.m - codes for initial compacted elements</li> <li>Test2D_2L1.mat - generated data for initial compacted elements</li> <li>Test2D_2L2.m - codes for compacted elements with embedded fiber-optic cable</li> <li>Test2D_2L2.mat - generated data for compacted elements with embedded fiber-optic cable</li> <li>Test2D_2L3.m – codes for confining pressure setting</li> <li>Test2D_2L-0MPa3.mat ~ Test2D_2L-1.0MPa3.mat - generated data for confining pressure setting</li> <li>Test2D_2L4.m – codes for fiber-optic cable pullout tests under various confining pressures</li> <li>Test2D_2L-05-26-20mm-0MPa-un-No1-4.mat ~ Test2D_2L-07-21-20mm-1MPa-un-No1-4.mat - generated data for fiber-optic cable pullout tests under various confining pressures</li> </ul>
Mechanisms of unbalanced sediment transport linked to anthropogenic disturbance in world's largest tidal power plant
<p>Analysis_code.zip and Mooring_toolbox.zip contain matlab m-files. The code was designed to analysis the changes from the mooring data.</p> <p>Data.zip contains a mooring observation data in Lake Sihwa. The velocity profiles and backscatter intensities were measured with a downward-looking acoustic Doppler current profiler (ADCP) (RDI, 600 kHz WorkHorse Sentinel). The mooring system was designed to measure the near-bed temperature, salinity, and turbidity using conductivity-temperature-depth (CTD) sensors (RBR, XR-420, and Concerto) and an optical backscatter sensor (OBS) (Seapoint Turbidity Meter).</p> <p>Waterlevel.zip has water level data in the ocean and Lake Sihwa.</p> <p> </p> <p> </p>
Mechanisms of the Non-uniform Breach Morphology Evolution of Landslide Dams Composed of Unconsolidated Sediments During Overtopping Failure
<p>Data that can be used to replicate and validate the results presented here are available through the upload file.</p> <p>Data access will be available upon request prior to official publication of this work.</p>
Effects of roughness Reynolds number on scalar transfer mechanisms at the sediment-water interface
<p>The data are used in the paper "Effects of roughness Reynolds number on scalar transfer mechanisms at the sediment-water interface" which was submitted to the journal-Water Resources Research. The paper used particles with different sizes, experimental bed is reproduced and the scalar transfer from water to sediment is modelled. We found that The transfer factor changes to turbulent diffusion at the sediment-water interface as the roughness Reynolds number increases. And the turbulent Schmidt number is higher near the SWI and decrease to 0.5 at the SWI, ranging from 0.5 to 1 within the water depth.</p>
Hydrate spatial distribution influence on the mechanical behavior hydrate-bearing sediment using computed tomography
<p>This supporting information includes two Movie S1-2, illustrating the deformation evolution of the specimen # O-1 and specimen # O-2.</p> <p>Movie S1 is uploaded with file name Movie S1.gif. Detailed information includes the deformation evolution of the specimen # O-1.</p> <p>Movie S2 is uploaded with file name Movie S2. gif. Detailed information includes the deformation evolution of the specimen # O-2.</p>
Mechanism underlying the millennial scale variation of offshore sediment transport in the North Yellow Sea
<p>Sediment cores YC10 (length: 548 cm, water depth: 54 m) and YC26 (length: 435 cm, water depth: 15 m) were collected by hammer drilling on a fishing vessel from the NYS in July 2016. The sediment cores were split lengthwise, described, photographed, and subsampled in the lab. They were sliced into thin sections for trace element analyses at intervals of 4–10 cm according to the age model. The samples were freeze-dried under vacuum, and the fine fraction (< 63 μm) was sieved from the bulk samples for further geochemical analysis. The number of samples for REEs in cores YC10 and YC26 was 71 and 80, respectively, while those for Sr-Nd isotopes were 12 and 14, respectively.</p>
The Dataset of the paper "Seasonal and spatial variability and mechanisms of suspended sediment concentration in the Yellow River mouth and adjacent waters"
<div> <p>The data for "Seasonal and spatial variability and mechanisms of suspended sediment concentration in the Yellow River mouth and adjacent waters". The file names correspond to the figures in the paper.</p> </div>
Data and software for "A numerical study of inhibiting effect and mechanism of thermal front on sediment transport in a stratified continental sea"
<p>Data and software for "A numerical study of inhibiting effect and mechanism of thermal front on sediment transport in a stratified continental sea"</p>
Data from: Evaluation and mechanism of ammonia nitrogen removal using sediments from a malodorous river
Open the record for dataset details and reuse information.
Hydrate-bearing sediment of the South China Sea: mechanical characteristics and microstructure
<p>This supporting information includes a figure S1, which is a series of CT images illustrating the microstructure of the hydrate-bearing clayey-silty sediment of the South China Sea.</p>
Dataset for "Characterization of stream, hyperconcentrated and debris flows from seismic signal: Insights into sediment transport mechanisms and flow dynamics"
<p>Yang et al. (2023) Dataset for "Characterization of stream, hyperconcentrated and debris flows from seismic signal: Insights into sediment transport mechanisms and flow dynamics", Journal of Geophysical Research-Earth Surface</p>
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