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35 results for “sediment trap”
Sediment trap time series data for Beaverdam Reservoir and Falling Creek Reservoir in southwestern Virginia, USA 2018 through 2023
Sediment traps were deployed to assess the mass and composition (lithium, sodium, magnesium, aluminum, potassium, calcium, iron, manganese, copper, strontium, barium, total organic carbon, and total nitrogen) of settling particulates in the water column of two drinking water reservoirs—Beaverdam Reservoir and Falling Creek Reservoir, both located in Vinton, Virginia, USA. Sediment traps were deployed at two depths in each reservoir to capture both epilimnetic and hypolimnetic (total) sediment flux. The particulates were collected from the traps approximately fortnightly from April to December from 2018 to 2023, then filtered, dried, and analyzed for lithium, sodium, magnesium, aluminum, potassium, calcium, iron, manganese, copper, strontium, and barium (2018 to 2023) and total organic carbon and total nitrogen (2018 to 2022, due to instrument repairs). Beaverdam and Falling Creek are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia. The sediment trap dataset consists of logs detailing the sample filtering process, the mass of dried particulates from each filter, and the raw concentration data for lithium (Li), sodium (Na), magnesium (Mg), aluminum (Al), potassium (K), calcium (Ca), iron (Fe), manganese (Mn), copper (Cu), strontium (Sr), barium (Ba), total organic carbon (TOC) and total nitrogen (TN). The final products are the calculated downward fluxes of solid Li, Na, Mg, Al, K, Ca, Fe, Mn, Cu, Sr, Ba, TOC, and TN during the aforementioned deployment periods.
Vertical fluxes of particulate carbon, nitrogen and phosphorus from a sediment trap deployed west of Palmer Station, Antarctica at a depth of 170 meters, 1992-2019.
Particulate organic matter is exported from the upper ocean euphotic zone in the form of large sinking particles and as dissolved material. Particle fluxes to depth link the surface and mesopelagic realm and supply food to the benthos. Sedimentation flux is typically measured with sediment traps of various designs. Palmer LTER has deployed a time-series trap near 64.5degrees S, 66.0degrees W since late 1992. The trap is moored in 300 m depth and collects sinking particles at 150 m. Deployments and analyses were performed by David Karl, University of Hawaii until 2002 when Hugh Ducklow took over the sediment trap operations.Sedimentation at the PAL site of the West Antarctic Peninsula demonstrates extreme seasonality, with a well-defined pulse in the Austral summer following sea ice retreat. Daily sedimentation rates during the summer flux event are among the highest recorded globally. During the Austral winter when the ocean is covered by sea ice and shrouded in darkness, fluxes are among the lowest observed anywhere. Sedimentation rates at PAL typically vary by 4 orders of magnitude. There is also order of magnitude variability in the total annual flux (area under the curve).
Supplemental Data Sets for "Buried Ice Deposits in Lunar Polar Cold Traps were Disrupted by Ballistic Sedimentation"
<p>Supporting Data Sets for manuscript "Buried Ice Deposits in Lunar Polar Cold Traps were Disrupted by Ballistic Sedimentation". Contains Data Sets S1-S7 as described in the manuscript and Supplementary information S1 (see <a href="https://doi.org/10.1029/2022JE007567">https://doi.org/10.1029/2022JE007567</a>).</p>
Sediment trap fecal pellets enumerations collected aboard CCE LTER process cruises in the California Current system, 2007, 2008 and 2016.
The collection and enumeration of sinking fecal pellets on CCE LTER Process cruises has been led by Mike Stukel since 2007. Sinking particles are collected in VERTEX-style particle interceptor traps (PIT) with an 8:1 aspect ratio, 70-mm diameter, and a baffle on top comprised of 13 smaller beveled tubes with a similar 8:1 aspect ratio. Tubes are deployed with a formalin-brine for a duration of 2-5 days. After recovery, samples are gently split on a Folsom splitter and typically 3/8 to 1/2 of two separate tubes are utilized for fecal pellet enumeration. After the cruise, samples for fecal pellet enumeration are placed in a settling chamber to allow fecal pellets to settle out. Overlying water is then strained through a 60-um filter to collect any pellets that may have remained in the water. Pellets were then placed on a gridded Petri dish and analyzed using a Zeiss Discovery stereomicroscope. Pellets were separated from other particles and photographed with a dedicated camera. Image processing was then conducted using either Image J or Image Pro to extract area and maximum feret length for each fecal pellet. Pellets were classified by shape and shape-appropriate equations were used to determine the volume of each fecal pellet. Volume was converted to mass using the equations in Stukel et al. (2013). ‘Sample’ refers to which of two samples the fecal pellet was contained within. ‘PelletID’ is the identifier for each fecal pellet in a sample. ‘Conversion Factor’ accounts for the proportion of a sample that was sorted for fecal pellets, as well as the deployment duration and cross-sectional area of the sediment trap. To determine the mass flux of fecal pellets of a certain type: 1) Sum the pellet mass for all fecal pellets of that type in a given sample and 2) multiply by the Conversion factor for that sample. ‘Shape’ is an identifier for the shape of a fecal pellet: 1) ovoid, 2) cylindrical, 3) spherical, 4) tabular, 5) amorphous, 6) ellipsoidal, 7) degraded fecal mater
Exported particulate carbon and nitrogen measurements from 4-day sediment trap deployments in the CCE region, 2007 - 2019 (ongoing).
Sediment traps are used to measure particulate export flux of organic matter from the euphotic zone at various depths (up to 100), so to better understand what flows through the water column regarding food chains in the CCE. Tubes are filled with dense seawater to create a density gradient, and are attached to a wire connected to a drifting float for up to 4 days. Samples from the recovered array of the trap material (fecal matter and other sinking particles - zooplankton removed) are filtered onto precombusted filters for analyses of particulate carbon and nitrogen flux rates for each cycle in the CCE Process cruises (since 2007, ongoing)
Figure 3 in Seasonal changes in the population structure of dominant planktonic copepods collected using a sediment trap moored in the western Arctic Ocean
Figure 3. Seasonal changes in sea ice concentration, surface chl. a (from satellite) and total mass flux (a), and daylight hours (b) at St. NAPt from October 2010 to September 2012.
Figure 8 in Seasonal changes in the population structure of dominant planktonic copepods collected using a sediment trap moored in the western Arctic Ocean
Figure 8. Seasonal changes in sea ice concentration, daylight hours, chl. a, and total mass flux from January to December (upper panel). The ecological characteristics of the five dominant copepods (lower panel). The open and solid bars indicate the high abundance and reproductive periods for each species, respectively.
Figure 4 in Polychaete species captured in sediment traps moored in northwestern Mediterranean submarine canyons
Figure 4. Ophelina margaleffi sp. nov. A, general view. B, lateral view of anterior region. C, mid-region parapodia showing cirriform branchiae and ciliary bands. D, lateral organ observed in the middle of every parapodial lobe (from left to right dorsoventral orientation). E, hirsute capillary chaetae. F, pygidium with six subequal papillae. Scale bars: A, 1 mm; B, C, 100 Mm; F, 50 Mm; E, 10 Mm; and D, 5 Mm.
Figure 3 in Polychaete species captured in sediment traps moored in northwestern Mediterranean submarine canyons
Figure 3. Paradoneis hirsuta sp. nov. A, general view. B, dorsal view of the branchiate region. C, dorsal view of mid-region parapodia. D, long capillary chaetae of both rami of parapodia. E, lyrate chaeta of posterior parapodia. F, pygidium, with three cirri and ciliated dorsal rounded organ. Scale bars: A, 1 mm; D, 500 Mm; B, 300 Mm; C and F, 100 Mm; and E, 10 Mm.
Figure 2 in Polychaete species captured in sediment traps moored in northwestern Mediterranean submarine canyons
Figure 2. Aricidea (Allia) longisetosa sp. nov. A, general view. B, dorsal view of the anterior region. C, mid-region parapodia with long capillary chaetae. D, fascicle of capillary chaetae and modified neurochaetae in medium parapodia. E, detail of modified posterior-region neurochaeta. F, group of branchiae showing cilia. Scale bars: A, 1 mm; B, C, and F, 200 Mm; D, 20 Mm; and E, 10 Mm.
Figure 7 in Polychaete species captured in sediment traps moored in northwestern Mediterranean submarine canyons
Figure 7. Exogone (Parexogone) canyonincolae sp. nov. A, general view. B, dorsal view of the prostomium and the first chaetigers. C, posterior chaetigers showing smooth natatory chaetae. D, mid-region parapodia showing the simple dorsal chaeta and the compound chaetae: one with a spiniger-like blade, and the rest with shorter blades. E, end of the dorsal simple chaeta. F, compound chaetae of mid-region parapodia. Scale bars: A, B, 50 Mm; C, D, 30 Mm; F, 5 Mm; and E, 3 Mm.
Figure 6. Pelagobia longicirrata. A in Polychaete species captured in sediment traps moored in northwestern Mediterranean submarine canyons
Figure 6. Pelagobia longicirrata. A, prostomium with two pairs of antennae. B, gland formations at the anterior of the prostomium. C, detail of B, showing glands and holes with cilia-like structures. D, lateral view of the nuchal organs, including the first chaetiger, where the simple chaeta position is observed (arrow). E, reticulate field of pits with cilia at the nuchal organ. F, view of reticulate area with the extensible cilia-like structure. Scale bars: A, D, 100 Mm; B, 20 Mm; C, F, 5 Mm; and E, 3 Mm.
Figure 5. Pelagobia longicirrata. A, general view. B in Polychaete species captured in sediment traps moored in northwestern Mediterranean submarine canyons
Figure 5. Pelagobia longicirrata. A, general view. B, lateral view of anterior region. C, uniramous group of parapodia showing long dorsal and ventral cirri, and shorter simple chaeta in the anterior region. D, fascicle of heterogomph chaetae showing unidentate tip in the inset. E, pygidium. F, internal jaw. Scale bars: A, 500 Mm; B, 300 Mm; C, 200 Mm; E, 100 Mm; and D, F, 50 Mm (inset D, 3 Mm).
Figure 1 in Polychaete species captured in sediment traps moored in northwestern Mediterranean submarine canyons
Figure 1. Map of the area studied, showing the location of the mooring line sites (black squares). Site A, Planier submarine canyon (traps 1, 2 and 3-vicinity). Site B, Lacaze-Duthiers submarine canyon (traps 5, 6, and 7-vicinity). Site C, Foix submarine canyon (traps 8-vicinity, 9, and 10).
McMurdo Dry Valleys Airborn Sediment Traps / Aeolian Distribution of Soil Biota
Dispersal of soil organisms is crucial for their spatial distribution and adaptation to the prevailing conditions of the Antarctic Dry Valleys. This study investigate the possibility of wind dispersal of soil invertebrates within the dry valleys. Soil invertebrates were evaluated in wind-transported dust particles in collection pans (Bundt pans) 100 cm above the soil surface. Three species of nematode were recovered and Scottnema lindsayae was the most dominant. There were more juveniles (71%) in the transported sediments than adults (29%). The abundance of immobile (dead) nematodes in the Bundt pans was three times higher than active (live) nematodes. Anhydrobiosis constitutes a survival mechanism that allows wind dispersal of nematodes in the McMurdo Dry Valleys.
PIE LTER trapping capacity of suspended cohesive sediments of subdomains at Plum Island Sound, Massachusetts (numerical simulations).
Trapping capacity of suspended cohesive sediments of subdomains at Plum Island Sound, Massachusetts (from numerical simulations) are predicted using 2D Delft3D FLOW/MOR model and vegetation module during different stages of tidal height and direction.
Video for learning-based prediction of the particles catchment area of PAP sediment traps
<p>The ocean biological carbon pump plays a major role in climate and biogeochemical cycles. Photosynthesis at the surface produces particles that are exported to the deep ocean by gravity. Sediment traps, which measure the deep carbon fluxes, help to quantify the carbon stored by this process. However, it is challenging to precisely identify the surface origin of particles trapped thousands of meters deep because of the influence of ocean circulation on the carbon sinking path. In this study, we conducted a series of numerical Lagrangian experiments in the Porcupine Abyssal Plain region of the North Atlantic and developed a machine learning approach to predict the surface origin of particles trapped in a deep sediment trap.This new tool provide a better link between satellite-derived sea surface observations and deep sediment trap measurements, ultimately improving our understanding of the biological carbon pump mechanism.</p>
Wave-influenced Delta Morphodynamics, Long-term Sediment Bypass and Trapping Controlled by Relative Magnitudes of Riverine and Wave-driven Sediment Transport
<p>This repository contains supporting data for *Wave-influenced Delta Morphodynamics, Long-term Sediment Bypass and Trapping Controlled by Relative Magnitudes of Riverine and Wave-driven Sediment Transport,* submitted to Geophysical Research Letters.</p> <p>Delft3D Config for Q1000Qs100Hs15.docx → contains configuration file info for running the Delft3d simulation Q1000Qs100Hs15.</p> <p>Matlab 2022b was used to load Delft3D output files and process the data.</p> <p>WaveDelta_Depth&DepositThick.mat Contains:</p> <p>Depth → timesteps x 322 x 142. Timesteps are variable for each simulation.</p> <p>MSEDRiverSum → 4 x 322 x 142. Mass of sediments from riverine source at four intermediate timesteps. </p> <p>MSEDWaveSum → 4 x 322 x 142. Mass of sediments from longshore transport (LSTUp) source at four intermediate timesteps.</p> <p>VolRiverSum → 322 x 142. Final Volume of sediments from riverine source.</p> <p>VolWaveSum → 322 x 142. Final Volume of sediments from longshore transport (LSTUp) source.</p> <p>XCOR & YCOR are the X and Y grid coordinate locations for maps (322 x 142).</p> <p>Shift2&4km are used for cases highly skewed downdrift to correct for 0 location at the river mouth.</p> <p>Cerc_formula.mlx Computes CERC longshore transport for the simulation conditions.</p> <p>J.mlx calculates river mouth balance (J) values (Nienhuis et al. (2016)) presented in Figure S4. </p> <p>Additional 114 Figures are provided in Data_Visualization_Figures.rar to show Depth and thickness; subaqueous morphodynamics and depth and sediment transport (quiver).</p>
Biogeochemical data of sinking particulate matter collected by sediment traps at E2M3A mooring (2013-2020) in the Southern Adriatic Sea
<p>The dataset presented (NetCDF format), includes sediment trap derived fluxes (total mass, POC, CaCO<sub>3</sub>, bSiO<sub>2</sub>) at ~1200 m depth from the E2M3A deep-sea mooring in the center of the Southern Adriatic Sea in the period from December 2013 to September 2020. The E2M3A observatory is positioned in the centre of the cyclonic gyre where deep convection process takes place, involving both the atmosphere and the ocean dynamics and forming new dense and oxygenated waters, thus triggering the biological pump. The E2M3A mooring is included in the southern Adriatic regional facilities of EMSO-ERIC consortium managed from OGS Trieste and CNR-ISP. Sediment traps, positioned at two levels (below the photic layer at -120m and near the bottom at -1050m), allow the understanding of the processes responsible for the high-frequency and interannual variability of new production and of phytoplankton biomass. Total mass fluxes (TMF) measured at the shallower trap were generally lower that those measured at the bottom trap, ranging from 16 to 706 mg m<sup>-2</sup> d<sup>-1</sup>, with a time-weighted average of 133 mg m<sup>-2</sup> d<sup>-1</sup>, whereas at the bottom trap TMF varied from 33 to 885 mg m<sup>-2</sup> d<sup>-1</sup>, with a time-weighted average of 190 mg m<sup>-2</sup> d<sup>-1</sup>. The organic carbon flux, followed the same seasonal trend, with higher values below the photic zone, varying from 1.7 to 31.9 mg m<sup>-2</sup> d<sup>-1</sup>, with a mean of 5.8 mg m<sup>-2</sup> d<sup>-1</sup> at the shallow trap.</p>
Planktonic foraminifera count, shell weight and size data from sediment traps in the Fram Strait, HAUSGARTEN observatory (TDLT 2014), 2014 - 2015
<p>Counts, shell weight and shell size data of planktonic foraminifera from two depths of the sediment Trap TDLT 2014 in the HAUSGARTEN observatory in the eastern Fram Strait. Comparison of the count data done in the context of this study with count data conducted after the initial retrieval of the trapped material indicate high deviation. It is likely that the samples were affected by dissolution during the storage between retrieval (2015) and analysis (2020/2021), therefore both counts and weight and size data might not be representative.<br> <br> This data is supplement to the dissertation from Tell (2023).</p>
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OpenNeuro
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