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301 results for “Remediation”
Perry et al. (2025) Data Package: Effects of diluted bitumen and remediation methods on lower trophic levels within boreal lake enclosures. Data were collected during 2019 at the IISD Experimental Lakes Area in Northwestern Ontario.
This data package corresponds to a research study by Perry et al. (2025) titled "The effects of diluted bitumen, the shoreline cleaner Corexit EC9580A, and bio-stimulation on the lower food web of a boreal lake, with a focus on natural phytoplankton communities." The study examines the effect of controlled spills of diluted bitumen and two remediation methods on lower trophic levels (phytoplankton, periphyton, zooplankton). The study was undertaken within shoreline enclosures within Lake 260 at the IISD Experimental Lakes Area during 2019. In addition to primary oil recovery using sorbent pads, the two secondary remediation methods: 1) enhanced monitoring natural recovery (eMNR) that included the biostimulation of microbial communities via a slow release nutrient fertilizer, and 2) a shoreline washing agent (SWA or SCA; Corexit 9580) used to increase oil removal from affected shorelines. This data package includes the response of perphyton and zooplankton.
Data associated with the 2019 Freshwater Oil Spill Remediation Study (FOReSt) assessing the use of enhanced Monitored Natural Recovery (eMNR) and shoreline washing agent (SWA) of diluted bitumen spills conducted in shoreline enclosures at the IISD Experimental Lakes Area, ON, Canada from 2019 to 2020
The following package includes data from the 2019 Freshwater Oil spill Remediation Study (FOReSt) at the IISD Experimental Lakes Area studying the use of enhanced monitored natural recovery (eMNR) and shoreline washing agent (SWA) as a secondary remediation method for diluted bitumen spills in freshwater shoreline enclosures. This package includes data tables on polycyclic aromatic compound chemistry in water and sediments, basic water quality, nutrient chemistry, and tritium chemistry monitored in the experimental and reference enclosures, and lake reference sites over the duration of the study. Data included in this package was first collected and used in the paper by Palace et al., titled Polycyclic aromatic compounds in freshwater ecosystems following non-invasive remediation of controlled diluted bitumen spills: The Freshwater Oil Spill Remediation Study (FOReSt) at the Experimental Lakes Area, Canada.
The 2021 Freshwater Oil Spill Remediation Study (FOReSt), assessing the use of enhanced Monitored Natural Recovery (eMNR) of conventional heavy crude oil spills conducted in freshwater shoreline enclosures at the IISD Experimental Lakes Area, ON, Canada from 2021 to 2022.
The following package includes data from the 2021 Freshwater Oil spill Remediation Study (FOReSt) at the IISD Experimental Lakes Area studying the use of enhanced monitored natural recovery (eMNR) as a secondary remediation method for conventional heavy crude oil spills in freshwater shoreline enclosures. This package includes data tables on polycyclic aromatic compound chemistry in water and sediments, basic water quality, nutrient chemistry monitored in the experimental and reference enclosures, and lake reference sites over the duration of the study. As well as tables detailing enclosure metrics (depth), tritium chemistry, and a treatment key. Data included in this package was first collected and used in the paper by Stanley et al., titled Rapid Chemical Remediation of Freshwater Enclosures Treated with Conventional Heavy Crude Oil Spills Followed by Enhanced Monitored Natural Recovery
Post-remediation evaluation of contaminated site using geophysical methods: Ortophotomosaic Olkusz (Poland) 20220629
<p>The orthophotomap is based on 449 aerial photos taken by a Mavic PRO Unmanned Aerial Vehicle (UAV) fitted with an FC220 camera (focal length: 35 mm; charge-coupled device: 5472 × 3078 pixels, DJI, Shenzhen, China) on 29 June 2022. The final product is an orthophotomap with a 2.57 cm/pix raster field resolution. These products were mapped in the ellipsoid WGS 84 (EPSG:4326).</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Salt marsh redox potential at sites with runnel remediation in SE Massachusetts, 2020-2022
Natural disturbances, sea level rise, and historic human impacts to salt marshes have increased impounded water on marsh surfaces, resulting in vegetation loss and the associated loss of important ecosystem services such as carbon storage. Runnels are a climate adaptation technique designed to restore salt marsh habitat by reestablishing a tidal connection between impounded water and a nearby drainage feature. While runnels can drain impounded water and promote revegetation, the unintended effects of altering redox conditions remain unknown. Draining sediment and increasing redox potential could stimulate decomposition. We measured redox potential in two marshes in SE Massachusetts (Little Bay in Fairhaven, and Ocean View Farm in Dartmouth) prior to runnel restoration, and two years post restoration. We measured redox potential using three spatial distinctions: in the center of the panne, landward of the panne, and seaward of the panne. This was done every 2-3 weeks over a growing season.
Post-remediation evaluation of contaminated site using geophysical methods: photos
<p>Photos of the research area.</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods” </p>
Post-remediation evaluation of contaminated site using geophysical methods: ERT
<p>The ERT measurements (7 profiles: M1-M7) were performed using the LUND electrical imaging system with a SAS 4000 Terrameter produced by ABEM Malå (Guideline Geo) with 0.5 m electrode separation and the Wenner-Schlumberger configuration. </p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Post-remediation evaluation of contaminated site using geophysical methods: Multispectral UAV data Olkusz (Poland) 20220629
<p>In order to analyze the vegetation condition, photos were taken in the infrared (NIR, 750 - 2500 nm) and infrared (Red Edge, 690-720 nm) range. The DJI Matrice 600 platform was used for the raid. The photos were taken from the ceiling of 150 m with the MicaSense Red Edge M camera with a focal length of 6 mm.</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Post-remediation evaluation of contaminated site using geophysical methods: Digital Elevation Model Olkusz (Poland) 20220629
<p>The Digital Elevation Model is based on 449 aerial photos taken by a Mavic PRO Unmanned Aerial Vehicle (UAV) fitted with an FC220 camera (focal<br> length: 35 mm; charge-coupled device: 5472 × 3078 pixels, DJI, Shenzhen, China) on 29 June 2022. The final product is a DEM with a 51.1 cm/pix raster field resolution. These products were mapped in the ellipsoid WGS 84 (EPSG:4326). </p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Identifying hotspots of soil legacy phosphorus for soil P remediation on a cattle ranch in the Headwaters of the Everglades, South Central Florida, USA, 2020.
Phosphorus (P) cycling has been altered by human activities across various scales. 'Soil legacy P,' driven by agricultural changes such as excessive P fertilization and manure input, has led to P accumulation in soils. These legacy P reserves are long-term non-point sources, causing downstream eutrophication. Despite considerable scientific and policy interest, the fine-scale spatial heterogeneity, underlying drivers, and scales of variance of legacy P remain poorly understood. This dataset comprises of 1,438 surface soils sampled in 2020 across two typical subtropical grasslands managed for livestock production in South Central Florida, USA. The types of grasslands sampled were Intensively-managed or Improved pastures (IM), and Semi-native (SN) pastures. Chemical analysis was performed on the soil samples to determine three soil legacy P measurements (total P, Mehlich-1 and Mehlich-3 extractable P representing labile P pools) across the landscape. Other variables analyzed includedsoil organic matter, pH, available Fe and Al. Additionally, aboveground biomass samples were collected at a subset of soil sites, and analyzed for P content. The key questions regarding soil legacy P related to: its spatial variability and hotspots, variance distribution, relationship to land management and soil characteristics, and correlation with aboveground plant tissue P concentration. Subsequent analysis and spatial autoregressive modeling from this dataset revealed extreme variability of soil P at small scales, with diminishing variance as spatial scale increased, and increased variance in IM vs SN pastures. These findings enhance our understanding of the underlying drivers, spatial patterns, and variances of soil legacy P. Research suggests that broad pasture- or farm-level best management practices may be limited and less efficient, particularly for high-intensity pastures. Instead, management strategies to reduce soil legacy P could be implemented at fine scales, targeting P hots
GREENER Project official video: InteGRated systems for Effective ENvironmEntal Remediation
<p>Find out more about the GREENER's goals and technologies applied, aiming to remediate a range of organic and inorganic pollutants of high concern, while producing useful end-products, such as bioelectricity and harmless metabolites.</p>
Data for Spectral Induced Polarization of ZVI-AC-Sand Mixtures in Groundwater Remediation
<p>这是手稿“揭开地下水修复中 ZVI-AC-Sand 混合物的光谱诱导极化响应”的初始数据</p>
Quantifying reagent spreading by cross borehole electrical tomography to assess performance of groundwater remediation
<p>This repository contains data related to the articleof the same name, published at Water Resources Research in 2022.</p> <p>inversion_inputs folder = all cross-borehole ERT/IP data formatted for the software AarhusInv</p> <p>inversion_results folder = output files from AarhusInv that can be used for plotting and further data analysis, for each inversion</p> <p>2x32_Z.xml = spread file for the ABEM Terrameter LS2 when two boreholes with 32 electrodes each are connected</p> <p>hvede_2xbsb.txt = quadrupole series for a given pair of boreholes, including the two single-borehole and two types of cross-borehole configurations. The electrodes order is A-B-M-N. Electrodes 1-32 are in borehole 1, while electrodes 33-64 are in borehole 2.</p> <p>hvede_2xbsb.xml = protocol file for the ABEM Terrameter LS2, that can be used in combination with the spread file 2x32_Z.xml.</p> <p>The paper abstract is given below.</p> <p>In-situ remediation of contaminated groundwater often relies on the installation of a treatment zone degrading the contamination. Zero-valent-iron (ZVI) is a type of reagent used for this purpose. Adequate delivery of ZVI in the whole target volume is particularly challenging and requires monitoring with high spatial resolution. We present a monitoring tool for imaging the dynamic spreading of ZVI and its associated ionic cloud, using cross-borehole time-lapse electrical resistivity tomography (ERT). This tool works in urban areas and is particularly suitable for achieving the required spatial resolution at the scale of the target volume. Groundwater and sediment samples show a consistent spatial and temporal distribution of the remediation cloud with cross-borehole ERT. Yet, the 2D anomalies observed with cross-borehole ERT provide a more spatially complete and rapid image of the remediation cloud distribution than if based solely on monitoring screens. At the study site, ZVI injection leads to uneven spreading, clearly documented by cross-borehole ERT monitoring. The benefit of hydraulic conductivity (K) mapping by cross-borehole induced polarization (IP) to understand unexpected injection paths (upstream leakage, spreading in preferred pathways) is investigated. A 2D, IP-based, continuous and coherent K-distribution is obtained that compares well with estimations by grain size analyses from the treatment zone. However, the IP-based K-field fails at predicting injection paths, suggesting the creation of pathways during the high-pressure injection of ZVI. Cross-borehole time-lapse ERT is the most promising geophysical tool for performance assessment of in situ remediation involving reagents with conductivity contrast.</p>
Post-remediation evaluation of contaminated site using geophysical methods: EMI
<p>For the EMI measurements, a ground conductivity meter EM38-MK2 (Geonics) was used. Based on the measurements carried out on two coil spacings every 0.5 m and 1 m in horizontal (H-mode) and vertical dipole mode (V-mode), a component reflecting the electrical conductivity was obtained at three effective depth ranges approx. 0.37 m and 0.75 m for H-mode, 0.75 m and 1.5 m for V-mode. Recognition of the value of electrical conductivity was obtained in a grid of 50 x 50 m</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Post-remediation evaluation of contaminated site using geophysical methods: IP
<p>Five IP profiles were performed using the LUND electrical imaging system with a SAS 4000 Terrameter produced by ABEM Malå (Guideline Geo) with 0.5 m electrode separation and the Wenner-Schlumberger configuration. </p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Post-remediation evaluation of contaminated site using geophysical methods: soilpits
<p>Discription of soilpits.</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p> <p> </p>
Post-remediation evaluation of contaminated site using geophysical methods: chemical analysis
<p>The total concentration of trace elements analysis (of Al, As, Cd, Co, Cr, Cu, Fe, K, Li, Mn, Mo, Ni, Pb, Sb, Sn, Sr, Tl, Zn) was determined using ICP-ES for 50 samples and BCR sequential extraction for 20 samples.</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”.</p> <p> </p>
Post-remediation evaluation of contaminated site using geophysical methods: GPR
<p>GPR measurements were conducted using RAMAC/GPR pulse radar with a CUII control unit (ABEM Malå Guideline Geo) with 500 MHz and 800 MHz shielded antennas. The time window was set as 61 ns and 98 ns, respectively, for 800 MHz and 500 MHz. The sampling frequency was set as 10 times the antenna frequency and the number of signals as 500 for both antennas for the best performance of the measurements. </p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Spatial datasets associated with decontamination and remediation operations following the Fukushima nuclear accident, Japan (2011–2023)
<p>At the onset of the full reopening in Spring 2023 of the Difficult-to-Return Zone of Northeastern Japan following the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident that took place in March 2011, several spatial layers were regrouped and compiled to facilitate environmental studies dealing with the redistribution of radiocesium fallout across landscapes.</p> <p><strong>The current dataset is composed of 23 shapefiles including those of the delineations of different spatial zones (Intensive Contamination Survey Areas – ICAs, Special Decontamination Zones – SDZ, Difficult-to-Return Zone –</strong> <strong>DTRZ, and FNDPP location) (Evrard et al. 2019), municipalities where mushroom consumption restrictions were enforced (restricted and partially lifted restrictions), river hydrographic networks and their respective drainage areas (Mano, Niida, Ota, Takase, and Ukedo), dam reservoirs and drainage areas (Mano, Ogaki, Takanokura, and Yokokawa), multiple administrative delineations in Japan (whole Japan administrative boundaries, Prefectures, and municipalities) (GIS, 2016), and one raster file of the reconstruction of initial <sup>137</sup>Cs fallout across eastern Japan (from Kato et al., 2019).</strong></p> <p><strong>The current dataset provides a support to a publication submitted to the SOIL journal:<br></strong></p> <div> <div><strong>Evrard, O., Chalaux-Clergue, T., Chaboche, P.-A., Wakiyama, Y., and Thiry Y. (2023). Research and Management Challenges Following Soil and Landscape Decontamination at the Onset of the Reopening of the Difficult-To-Return Zone, Fukushima (Japan)’. <em>SOIL</em> 9: 479–97. <a href="https://doi.org/10.5194/soil-9-479-2023">https://doi.org/10.5194/soil-9-479-2023</a>. </strong></div> <div> </div> </div> <p>All map processing was carried out using QGIS 3.26.0 (QGIS, 2022) and under the EPSG:WGS 84 projection system.</p> <p>The <sup>137</sup>Cs fallout raster (in Bq m<sup>-2</sup>, decay-corrected to July 2011) was generated from the point grid of Kato et al. (2019). A total of 126 tiles (0.25 x 0.25 degree) were generated by Inverse Distance Weighted (IDW) interpolation using the '<em>IDW interpolation'</em> tool with the following settings: distance coefficient P = 1.0 and pixel size (x and y) = 0.0015 degree. Tiles were then merged into a single tile using the raster<em> 'Merge'</em> tool. The initial point grid footprint was manually delineated to define the spatial applicability zone of the airborne survey. A buffer zone corresponding to half plus 10% of the longest distance between two airborne points (x = 0.002, y = 0.003), i.e. 0.0017 degree, was generated using the '<em>buffer'</em> tool. The single tile was then cut according to the footprint of the buffer zone using the <em>'clip a raster by a mask layer'</em> tool. A <em>single-band pseudo-colour </em>scale is provided and displays pixels with a value above 1000 Bq m<sup>-2</sup> (eq. global background).</p>
High-Temperature Electrothermal Remediation of Multi-Pollutants in Soil
<p>Source data for our publication entitled "High-Temperature Electrothermal Remediation of Multi-Pollutants in Soil"</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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