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40 results for “Suspended sediment”

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dryad36/100

Data from: A study on the Influence of submergence ratio on the transportation of suspended sediment in a partially vegetated channel flow

<p><span>Riparian or aquatic vegetation thrives with seasons. The understanding of canopies' Submergence-Ratio SR (stems' height to water depth) influence on suspended sediments' transportation is still limited. Thus, Large Eddy Simulations (LES) coupled with the Discrete Phase Method (DPM) are used to investigate the particles' 3-dimensional distribution in a partially vegetated straight channel. The spanwise distribution of particles is quantified by the Probability Density Function (PDF), showing a non-uniformity of particles in time as quantified by the PDF variance. The findings and conclusions: (Ⅰ) With SR rising, the particles' depletion effects exerted by the vegetation-side mixing layer are improved along the interface between vegetated and vegetation-side bare channel region. However, the SR has little effect on the variance of the particles' PDF in the spanwise direction when the mixing layer is fully developed. (Ⅱ) During the developing stage of the over-canopy mixing layer, submerged vegetation with higher SR gain a stronger upwards (vertical) entrainment capability. </span><span>The case (SR=60%) has a higher sediment concentration than other cases in the fully developed vertical mixing layer region above canopy.</span><span> (III) </span><span>The vertical suspension of particles in the vegetation-side bare channel region is analysed. Particles migrating from the vegetated region are entrained into the vegetation-side bare channel region by turbulent structures. Nevertheless, the vertical concentration profile is more uniform in the vegetated region than in the vegetation-side bare channel at the same streamwise location. The cases SR=40% and 60% still have higher sediment concentrations than other cases in the vegetation-side bare channel's upper region.</span></p>

opencc-zeroJan 2023View details →
dryad36/100

Data from: Caught in the surge: Effects of a pulse of suspended sediments from agricultural run-off on Atlantic salmon smolts

Open the record for dataset details and reuse information.

publicSep 2025View details →
dryad36/100

Data from: The influence of a semi-arid sub-catchment on suspended sediments in the Mara River, Kenya

Open the record for dataset details and reuse information.

publicFeb 2019View details →
dryad36/100

Data from: A study on the Influence of submergence ratio on the transportation of suspended sediment in a partially vegetated channel flow

Open the record for dataset details and reuse information.

publicJan 2023View details →
zenodo32/100

Tantabiddi Sediment Dynamics Experiment (Ninglaoo Reef): Hydrodynamic and suspended sediment data

<p>This data set contains hydrodynamic and suspended sediment concentration measurements from Tantabiddi (Ningaloo Reef), Western Australia.&nbsp;</p>

opencc-by-nc-4.0Apr 2016View details →
zenodo32/100

Runoff, suspended sediment, and solute contents data of the Binggou catchment during the spring snowmelt and summer rainfall periods

<p>This is the&nbsp;runoff, suspended sediment, and solute contents data of the Binggou catchment during the spring snowmelt and summer rainfall periods.</p>

opencc-by-4.0Apr 2022View details →
zenodo32/100

Dataset: Meltwater discharge, suspended sediment and bedload flux, air temperature and precipitation at the Otemma Glacier terminus (2022 melt season)

<p>This dataset extends existing timeseries from the Otemma Glacier terminus on meltwater discharge (M&uuml;ller and Miesen, 2022), suspended sediment and bedload flux (Mancini et al., 2023a), and air temperature and precipitation (M&uuml;ller, 2022) into the 2022 melt season. The methodologies used for data collection were consistent with those used in previous years (see included technical report). Water and sediment flux measurements were performed at gauging station GS1 (aka Station 1) located in the main proglacial river, approx. 0.35 downstream of the glacier terminus (M&uuml;ller and Miesen, 2022; Mancini et al., 2023a). Air temperature and precipitation data were collected at the "Glacier snout station" adjacent to GS1 (M&uuml;ller, 2022). Data collection specifics for the 2022 melt season are provided in the <code>report2022.pdf</code> file.</p> <p><strong>DATA:</strong><br><code>river.csv</code> - water and sediment flux timeseries from GS1 with columns:<br>year: yyyy<br>frac_day: fractional day of the year<br>dt: measurement interval [mins]<br>Qw: meltwater discharge [m3/s]<br>Qss: suspended sediment flux [kg/s]<br>Qb: bedload flux [kg/s]<br>Q<em>xx</em>_lo or Q<em>xx</em>_hi: the lower and upper uncertainty bounds for Qw, Qss, Qb [kg/s]<br><em>Extended data for 2020 and 2021 melt seasons also included*</em></p> <p><code>weather.csv</code> - air temperature and precipitation timeseries spanning 18 Nov 2021 to 16 Aug 2022 &nbsp;from 'Glacier snout station' with columns:<br>datetime: local time (UTC+01 with DST) [yyyy-mm-dd hh:mm:ss]&nbsp;<br>temperature: air temperature [&deg;C]<br>precipitation: liquid or solid precipitation [mm w.eq.]</p> <p><em>*Extended flux datasets are also provided for 2020 and 2021 given the difference in scope between Mancini et al. (2023b) and Jenkin et al. (2024, submitted for review). The datasets in Mancini et al. (2023b) have been post-processed for comparative analysis between two different gauging stations (upstream and downstream), while in this work, the most temporally complete timeseries of subglacial sediment export at the upstream gauging station was required. Therefore, the data provided here for 2020 and 2021 include: (i) a short extension of the timeseries, (ii) the removal of a suspended sediment clipping threshold, and (iii) filling of gaps in the 2020 suspended sediment timeseries with real measured data.</em></p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

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&nbsp; 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>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Description of suspended sediment and soil samples database: measured properties associated metadata

<p>From the perspective of open science, this dataset includes data and metadata of soil and suspended sediment samples collected across three catchments in Martinique (French West Indies) : Galion river catchment, L&eacute;zarde river catchment and Sal&eacute;e river catchment. During one year (June 2022 - July 2023), suspended sediment samplers were installed in the three river networks. In order to determine the signature of the potential erosion sources, soil samples were collected across the three catchments. In order to quantify suspended sediment source contributions and chlordecone contamination of suspended matter transiting in river, a set of different properties were measured in soil and suspended sediment samples: radionuclide activities, carbon and nitrogen isotopes, elemental geochemistry, visible colorimetry, chlordecone and its degradation products concentrations</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Data to reproduce the results presented in Sehgal et al. 2022. Journal of Geophysical Research Earth Surface, https://doi.org/10.1029/2022JF006838 ("A Generic Relation Between Turbidity, Suspended Particulate Matter Concentration, and Sediment Characteristics")

<p>This repository&nbsp;consists data to reproduce results as presented in:&nbsp;&quot;A Generic Relation Between Turbidity, Suspended Particulate Matter Concentration, and Sediment Characteristics&quot;, Journal of Geophysical Research Earth Surface. Kindly refer to the readme.text file to navigate through&nbsp;the dataset.</p>

opencc-by-4.0Dec 2021View details →
zenodo32/100

Quantifying flow velocities in river deltas via remotely sensed suspended sediment concentration

<p><strong>bathymetry and model velocity field</strong></p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

Data to reproduce the results presented in Lake et al. 2023. Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2023.162332 ("Use of a submersible spectrophotometer probe to fingerprint spatial suspended sediment sources at catchment scale")

<p>This repository contains the absorbance data measured on the water samples collected in all sampling sites, for the three campaigns, as described in&nbsp;Lake et al., 2023.&nbsp;</p> <p>Data consists of:</p> <p>- Absorbance data compensated for measured concentration and compensated for absorbance measured on filtered water&nbsp;</p> <p>- Absorbance data compensated for measured concentration</p> <p>Shown files are the input files for the MixSIAR modelling exercise as described in Lake et al., 2023.</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Data related to "fluctuations of current velocity and suspended sediment concentration due to coastal seiches"

<p>The present dataset was derived from two acoustic Doppler current profilers moored in the inner (M1: 35.1881&deg;N, 128.5861&deg;E) and outer (M2: 35.1657&deg;N, 128.5947&deg;E)&nbsp;) parts of the main channel of Masan Bay to reveal how suspended sediments vary depending on coastal seiches.</p> <p>Up-looking broadband ADCPs (M1: 1200 kHz RDI Workhorse Sentinel; M2: 1000 kHz RDI Sentinel V20) installed in a trawl-resistant bottom mount were configured to measure the profiles of the three-dimensional current velocities, water level, temperature, and echo intensity every ten minutes from September 22 to October 13, 2017.</p> <p>The post-processing dataset includes current velocity (m s<sup>-1</sup>), suspended sediment concentration (SSC, mg l<sup>-1</sup>), sediment flux (kg m<sup>-1</sup> s<sup>-1</sup>), 1-hr filtered current velocity and SSC, and excursion lengths (m).&nbsp;</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

Suspended sediment concentration mapping of a multi-channel system Songzi River of the Yangtze River Basin

<p>We&nbsp;used&nbsp;Google&nbsp;Earth&nbsp;Engine&nbsp;and&nbsp;observed&nbsp;hydrological&nbsp;data&nbsp;to&nbsp;create&nbsp;a&nbsp;multiple&nbsp;linear&nbsp;regression&nbsp;model&nbsp;to&nbsp;map&nbsp;SSC&nbsp;in&nbsp;the&nbsp;multi-channel&nbsp;system&nbsp;Songzi&nbsp;River&nbsp;of&nbsp;the&nbsp;Yangtze.&nbsp;<br> <br> Hydrological&nbsp;data&nbsp;from&nbsp;gauging&nbsp;stations&nbsp;and&nbsp;Landsat&nbsp;surface&nbsp;reflectance&nbsp;data&nbsp;were&nbsp;collected&nbsp;in&nbsp;the&nbsp;study&nbsp;area.&nbsp;Water&nbsp;discharge&nbsp;and&nbsp;suspended&nbsp;sediment&nbsp;data&nbsp;were&nbsp;obtained&nbsp;from&nbsp;four&nbsp;hydrological&nbsp;stations,&nbsp;including&nbsp;Zhicheng,&nbsp;Xinjiangkou,&nbsp;Shadaoguan&nbsp;and&nbsp;Guanwan.&nbsp;Such&nbsp;water&nbsp;and&nbsp;sediment&nbsp;data&nbsp;were&nbsp;obtained&nbsp;from&nbsp;the&nbsp;Changjiang&nbsp;Water&nbsp;Resources&nbsp;Commission&nbsp;(CWRC).&nbsp;Before&nbsp;these&nbsp;datasets&nbsp;are&nbsp;released&nbsp;to&nbsp;the&nbsp;public,&nbsp;they&nbsp;undergo&nbsp;rigorous&nbsp;verification&nbsp;following&nbsp;the&nbsp;relevant&nbsp;government&nbsp;protocols.&nbsp;<br> <br> The&nbsp;Landsat&nbsp;program&nbsp;with&nbsp;nine&nbsp;satellites&nbsp;launched&nbsp;from&nbsp;1972&nbsp;to&nbsp;2021&nbsp;operated&nbsp;by&nbsp;National&nbsp;Aeronautics&nbsp;and&nbsp;Space&nbsp;Administration&nbsp;(NASA)&nbsp;and&nbsp;United&nbsp;States&nbsp;Geological&nbsp;Survey&nbsp;(USGS)&nbsp;is&nbsp;aimed&nbsp;at&nbsp;to&nbsp;detect&nbsp;changes&nbsp;in&nbsp;the&nbsp;Earth&#39;s&nbsp;resources&nbsp;and&nbsp;environments&nbsp;(https://earthexplorer.usgs.gov/).&nbsp;It&nbsp;provides&nbsp;the&nbsp;longest,&nbsp;continuous,&nbsp;moderate&nbsp;resolution&nbsp;earth&nbsp;observation&nbsp;data,&nbsp;which&nbsp;is&nbsp;currently&nbsp;free,&nbsp;globally&nbsp;available.&nbsp;According&nbsp;to&nbsp;the&nbsp;data&nbsp;availability&nbsp;the&nbsp;GEE&nbsp;platform,&nbsp;our&nbsp;study&nbsp;used&nbsp;the&nbsp;surface&nbsp;reflectance&nbsp;data&nbsp;(&quot;LANDSAT/LT05/C01/T1_SR&quot;&nbsp;and&nbsp;&quot;LANDSAT/LC08/C01/&nbsp;T1_SR&quot;)&nbsp;of&nbsp;Landsat&nbsp;5&nbsp;and&nbsp;Landsat&nbsp;8&nbsp;to&nbsp;investigate&nbsp;the&nbsp;spectral&nbsp;characteristics&nbsp;of&nbsp;SSC&nbsp;for&nbsp;the&nbsp;Songzi&nbsp;River.</p>

opencc-by-4.0Aug 2023View details →
zenodo28/100

Spöl Experimental Flood – Suspended Sediment Concentration

<p>Data repository with Suspended Sediment Concentration timeseries for the experimental flood 2024 - Sp&ouml;l river</p> <p>TOREAD: Data_Release.pdf</p>

opencc-by-4.0Nov 2024View details →
edi28/100

Suspended Sediment. Daily Water Sample Parameter, and Sediment Data for North Inlet Estuary, South Carolina, from 1981 to 1992, North Inlet LTER

This data package consists of Daily Water Sample Parameter, and Sediment Data for North Inlet Estuary, South Carolina, from 1981 to 1992, North Inlet LTER. The purpose of this study was to to establish a long term data base on the Sediment dynamics of a salt marsh estuarine system. These data can be used in correlation with a number of other estuarine data sets to obtain a broader definition of the overall estuarine ecosystem.

openOpenJan 2020View details →
nasa28/100

Delta-X: Bed and Suspended Sediment Grain Size, MRD, LA, USA, 2019-2021, V3

This dataset includes sediment concentration and grain size distribution measurements from suspended and bed sediment samples collected in the Atchafalaya River and Terrebonne Basins as part of the Delta-X Spring campaign between March 25 and April 2, 2021, and the Delta-X Fall campaign between August 17 and 22, 2021. In addition, ten samples were collected during a field campaign in October 2019. Samples were collected in the main channels and the interior of Mike Island in the Wax Lake Delta, Louisiana and at site CRMS0421 inside the Terrebonne Basin. Sediment samples were collected from a boat using a Van Dorn sampler (for suspended sediment samples) or a Ponar bed sampler (for bed samples). Suspended sediment samples were collected from a boat drifting at approximately the same velocity as the water flow. One sample was collected per drift. Bed samples were collected in a similar fashion. Data include measurements of sediment grain size distribution, total sediment concentration, water temperature, flow velocity, salinity, and depth. This Version 3 updates Version 2 to include data from more samples and reprocessed laser diffraction grain size distributions with optimized sediment optical properties. The data is provided in comma separated values (CSV) format.

restrictednotspecifiedApr 2025View details →
zenodo24/100

Dataset for "Modelling impacts of spatially variable erosion drivers on suspended sediment dynamics"

<p>Dataset for publication:</p> <p>Battista, P. Molnar, and P. Burlando. Modelling impacts of spatially variable erosion drivers on&nbsp;suspended sediment dynamics. Earth Surface Dynamics, 8(3):619{635, jul 2020a. ISSN 2196-632X.&nbsp;doi: 10.5194/esurf-8-619-2020.</p>

opencc-by-4.0Dec 2019View details →
zenodo24/100

Statistical characterization of suspended sediment dynamics in shallow tidal environments

<p><span lang="EN-US">This study was funded by the European Union - NextGenerationEU, in the framework of the iNEST - Interconnected Nord-Est Innovation Ecosystem (iNEST ECS00000043 - CUP C43C22000340006). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them. The dataset was developed as part of the activities carried out by Spoke 8, Research Topic 1 (Biology of hydrosphere ecosystems), Task S8_RT1.1 (Digital Databases for Innovation in Biodiversity and Water Quality Assessment)</span></p>

opencc-by-4.0Dec 2021View details →
zenodo8/100

Profile of suspended sediment concentration in submerged vegetated shallow water flow_20191116

<p>data set for &quot;Profile of suspended sediment concentration in submerged vegetated shallow water flow&quot;</p>

restrictedMay 2019View details →

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dandi-nwb
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