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12 results for “suspended sediment concentration”
Field and laboratory measurements of suspended-sediment particle size and concentration from nine rivers draining to the Great Barrier Reef
<p>Dataset includes in-situ (n = 144,912) and laboratory-dispersed (n = 64) particle size measurements collected using laser diffractometry from nine rivers discharging along 800 km of Great Barrier Reef, Queensland Australia coastline. Two field campaigns (24 February to 5 March 2021 and 24<sup>th</sup> to 31<sup>st</sup> of April 2021) were undertaken to collect vertical profiles of in-situ particle size, water velocity, turbidity, and salinity. Water samples were collected for analysis of laboratory-dispersed particle size and suspended-sediment concentration. Water samples were collected using US-P61 or Van-Dorn samplers deployed alongside a LISST 200x laser diffractometer and an EXO2 YSI multiparameter water quality sonde. Total depth and water velocity were measured using a Nortek Signature ADCP and Teledyne RiverRay ADCP during the first and second field campaigns, respectively. During both campaigns, measurements were undertaken during relatively high discharge events when discharge exceeded the 90<sup>th</sup> percentile of 2020/2021 gauged wet season flows.</p> <p>Data are provided in three csv files. "In_situ_data.csv" contains in situ measurements of particle size, turbidity, salinity, and depth along with estimates of shear rate. Shear rate is estimated from theory and measurements of ADCP-measured total depth and depth-averaged flow (see equation 2 of Livsey et al., 2022). "Lab_data_this_study.csv" contains particle size measurements of suspended-sediment following laboratory dispersion along with coeval measurements of in-situ particle size, turbidity, salinity, and shear rate averaged over the filling time of the US-P61 sampler. "Lab_data_DES_WQI.csv" contains laboratory dispersed particle size measurements collected by the Department of Environment and Science Water Quality Investigation Unit of Queensland Australia (Turner et al., 2013) and compared to data in "Lab_data_this_study.csv" in Livsey et al (2022). </p> <p>Further details of the data collection effort and interpretation of the data are published in Livsey et al (2022) at https://doi.org/10.1029/2021JC017988. </p> <p>Additional data from the 24 February to 5 March 2021 field campaign, funded by CSIRO Oceans and Atmosphere, are available from Crosswell et al (2022) at https://doi.org/10.25919/2vbh-cx08.</p> <p>References:</p> <p>Crosswell, Joey; Carlin, Geoff; Daniel, Livsey; Hillyer, Katie; Steven, Andy (2022): FNQ_2021_V01 Voyage dataset: Feb - March 2021; Biogeochemical and hydrodynamic obervations along the river-reef continuum of estuaries in eastern Cape York, Australia. v1. CSIRO. Data Collection. 10.25919/2vbh-cx08</p> <p>Livsey, D. L., Crosswell, J. R., Turner, R. R., Steven, A. D. L., & Grace, P. R. (2022) Flocculation of riverine sediment draining to the Great Barrier Reef, implications for monitoring and modelling of sediment dispersal across continental shelves. Journal of Geophysical Research: Oceans. https://doi.org/10.1029/2021JC017988</p> <p>Turner. R, Huggins. R, Wallace. R, Smith. R, Vardy. S, Warne. M St. J. (2013). Total suspended solids, nutrient, and pesticide loads (2010-2011) for rivers that discharge to the Great Barrier Reef Great Barrier Reef Catchment Loads Monitoring 2010-2011 Department of Science, Information Technology, Innovation and the Arts, Brisbane.</p> <p> </p> <p> </p>
Paired field measurements of suspended-sediment concentration, turbidity, acoustic backscatter, and particle size compiled from various estuaries in the United States and Australia
<p>Field measurements of suspended-sediment concentration, turbidity, acoustic backscatter, and particle size are compiled from various estuaries in the United States and Australia to investigate the utility of combining optical and acoustic backscatter measurements for the estimation of suspended-sediment concentration under changes in floc particle size and density. </p> <p>Theory, analysis, and interpretation of the data is available in Livsey et al (2023). Data collected from the Chesapeake Bay, US were compiled from Fall et al (2022). Data collected on the Brisbane River were collected by Livsey et al (2022). Data collected for all other locations were compiled from Livsey et al (2022). </p> <p>Data collected by Fall et al (2022) utilized a LISST 100x. Data collected by Livsey et al (2022, 2023) utilized a LISST 200x. Data files for each instrument are provided. </p> <p>Funding for this research was provided by an Advance Queensland Industry Research Fellowship, Queensland University of Technology, and Queensland Department of Environment and Science.</p> <p>References</p> <p>Fall, Kelsey A., Massey, Grace M., and Friedrichs, Carl T., (2020). The importance of organic content to fractal floc properties in estuarine surface waters, insights from video, LISST, and pump sampling: Supporting data. Data. William & Mary. https://doi.org/10.25773/7gbc-794 6739</p> <p>Livsey, D., Turner, R., Grace, P., and Crosswell, & Andy Steven. (2022). Field and laboratory measurements of suspended-sediment particle size and concentration from nine rivers draining to the Great Barrier Reef (1.0). Data. Zenodo. https://doi.org/10.5281/zenodo.6788303</p> <p>Livsey, D., Turner, R., and Grace, P. (2023). Combining optical and acoustic backscatter measurements for monitoring of fine suspended-sediment concentration under changes in particle size and density. Water Resources Research. <a href="https://doi.org/10.1029/2022WR033982">https://doi.org/10.1029/2022WR033982</a></p> <p> </p>
Summary Table of AHG Parameters, Hydraulics, Morphological and geophysical variables, and Suspending Sediment Concentration Derived at 1246 USGS River Monitoring Stations
<p>This table contains information about:</p> <p>1) At-A-Station Hydraulic Geometry Parameters,</p> <p>2) Hydraulics Variables,</p> <p>3) Morphological and Geophysical Variables, and</p> <p>4) Suspending Sediment Concentration and Fraction of Sand, Silt, and Clay,</p> <p>derived at 1246 USGS river monitoring stations across the conterminous United States. </p>
Suspended sediment concentration inversion from acoustic backscatter in rivers
<p>This repository contains scripts and data related to the article entitled <em>Using a down-looking multi-frequency Acoustic Backscatter System (ABS) for measuring suspended sediments in rivers </em>published in Water Resources Research. The scripts are provided through Python Jupyter Notebooks. Instructions for running the scripts are given in readme.txt file.</p>
Annual Average Suspended Sediment Concentration Composite Map (in GeoTIFF format)
<p>These Geotiff files are intended for use only during the anonymous peer-review process of the manuscript.</p> <p>For the source regions of Yangtze River, please refer to files with the prefix "CJY". As for the Qinghai-Tibet Plateau, we have only uploaded one year of data for review.</p> <p>We will upload all the Geotiff files upon acceptance of the manuscript.</p> <p>Please feel free to contact the email provided if you have any questions:<a href="mailto:jinlongli@stu.scu.edu.cn">jinlongli@stu.scu.edu.cn</a>.</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 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 consists data to reproduce results as presented in: "A Generic Relation Between Turbidity, Suspended Particulate Matter Concentration, and Sediment Characteristics", Journal of Geophysical Research Earth Surface. Kindly refer to the readme.text file to navigate through the dataset.</p>
Quantifying flow velocities in river deltas via remotely sensed suspended sediment concentration
<p><strong>bathymetry and model velocity field</strong></p>
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°N, 128.5861°E) and outer (M2: 35.1657°N, 128.5947°E) ) 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). </p>
Suspended sediment concentration mapping of a multi-channel system Songzi River of the Yangtze River Basin
<p>We used Google Earth Engine and observed hydrological data to create a multiple linear regression model to map SSC in the multi-channel system Songzi River of the Yangtze. <br> <br> Hydrological data from gauging stations and Landsat surface reflectance data were collected in the study area. Water discharge and suspended sediment data were obtained from four hydrological stations, including Zhicheng, Xinjiangkou, Shadaoguan and Guanwan. Such water and sediment data were obtained from the Changjiang Water Resources Commission (CWRC). Before these datasets are released to the public, they undergo rigorous verification following the relevant government protocols. <br> <br> The Landsat program with nine satellites launched from 1972 to 2021 operated by National Aeronautics and Space Administration (NASA) and United States Geological Survey (USGS) is aimed at to detect changes in the Earth's resources and environments (https://earthexplorer.usgs.gov/). It provides the longest, continuous, moderate resolution earth observation data, which is currently free, globally available. According to the data availability the GEE platform, our study used the surface reflectance data ("LANDSAT/LT05/C01/T1_SR" and "LANDSAT/LC08/C01/ T1_SR") of Landsat 5 and Landsat 8 to investigate the spectral characteristics of SSC for the Songzi River.</p>
Spöl Experimental Flood – Suspended Sediment Concentration
<p>Data repository with Suspended Sediment Concentration timeseries for the experimental flood 2024 - Spöl river</p> <p>TOREAD: Data_Release.pdf</p>
Profile of suspended sediment concentration in submerged vegetated shallow water flow_20191116
<p>data set for "Profile of suspended sediment concentration in submerged vegetated shallow water flow"</p>
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