Standardization of methods of analysis for heavy metals in sediments

Groot, A. J. de; Zschuppel, K. H.; Salomons, Wim

doi:10.1007/bf00940158

Cited by 48 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For this reason these pollutants are among the most frequently monitored using standard analytical techniques for extraction and quantification. Since the 1980s, many efforts have been undertaken around the world to measure and characterize the behavior and distribution of heavy metals in sediments [22][23][24] .…”

Section: Introductionmentioning

confidence: 99%

Heavy Metal Concentrations in Water and Sediments From Affluents and Effluents of Mediterranean Chilean Reservoirs

Copaja

Nuñez

Muñoz

et al. 2016

J. Chil. Chem. Soc.

View full text Add to dashboard Cite

RIVER flows have constant interaction between water and bed sediments; for this reason knowledge of the characteristics of the sediments is fundamental to understand water chemistry. This study determined the concentrations of heavy metals in water and sediments in the affluents and the effluents of the Mediterranean Chilean reservoirs Cogotí, Corrales, La Paloma, and Recoleta. We explore possible ecological risk and toxicity using the enrichment factor (EF), risk assessment code (RAC), threshold effect concentrations (TEC) and probable effect concentrations (PEC). The results showed that five metals: Al, Fe, Cu, Mn and Zn out of the ten measured metals were detected in both surface water and the sediments. The risk assessment code (RAC) suggested that Fe represents a medium risk in the affluent of Cogotí Reservoir: Cu, Zn and Mn represent a medium to high risk in all the dams and in both zones (affluents and effluents). The enrichment factor (EF) determined that the five metals were lithogenic. Fe, Cu, and Mn are the elements that present the greatest toxicity to microorganisms in these aquatic systems.

show abstract

Section: Introductionmentioning

confidence: 99%

Heavy Metal Concentrations in Water and Sediments From Affluents and Effluents of Mediterranean Chilean Reservoirs

Copaja

Nuñez

Muñoz

et al. 2016

J. Chil. Chem. Soc.

View full text Add to dashboard Cite

show abstract

“…Shipek grabs are erratic in clayey and silty environments and disturbance is considerable (Taft and Jones 2001;CEFAS 2002). The Van Veen grab is a sampling technique for finegrained to sandy firm and soft material, and unsuitable for sediments coarser than medium sand (de Groot et al 1982;Rumohr 1999;CEFAS 2002;IAEA 2003;Guerra and Freitas 2012). Gravity corer A simple, open sampling tube with a weight of 350 to 1000 kg at the top, which falls freely onto the seabed.…”

Section: Box Corermentioning

confidence: 99%

Uncertainty assessment applied to marine subsurface datasets

Kint

Hademenos

Mol

et al. 2020

QJEGH

View full text Add to dashboard Cite

A recently released voxel model quantifying aggregate resources of the Belgian part of the North Sea includes lithological properties of all Quaternary sediments and modelling-related uncertainty. As the underlying borehole data come from various sources and cover a long time span, data-related uncertainties should be accounted for as well. Applying a tiered data-uncertainty assessment to a composite lithology dataset with uniform, standardised lithological descriptions and rigorously completed metadata fields, uncertainties were qualified and quantified for positioning, sampling and vintage. The uncertainty on horizontal positioning combines navigational errors, on-board and off-deck offsets, and underwater drift. Sampling-gear uncertainty evaluates the suitability of each instrument in terms of its efficiency of sediment yield per lithological class. Vintage uncertainty provides a likelihood of temporal change since the moment of sampling, using the mobility of fine-scale bedforms as an indicator. For each uncertainty component, quality flags from 1 (very uncertain) to 5 (very certain) were defined, and converted into corresponding uncertainty percentages meeting the input requirements of the voxel model. Obviously, an uncertainty-based data selection procedure, aimed at improving the confidence of data products, reduces data density. Whether or not this density reduction is detrimental to the spatial coverage of data products, will depend on their intended use. At the very least, demonstrable reductions in spatial coverage will help to highlight the need for future data acquisition and to optimise survey plans. By opening up our subsurface model with associated data uncertainties in a public decision support application, policy makers and other end users are better able to visualise overall confidence and identify areas with insufficient coverage meeting their needs. Having to work with a borehole dataset that is increasingly limited with depth below the seabed, engineering geologists and geospatial analysts in particular will profit from a better visualisation of data-related uncertainty.Thematic collection: This article is part of the Mapping the Geology and Topography of the European Seas (EMODnet) collection available at: https://www.lyellcollection.org/cc/EMODnet

show abstract

“…Trace metals can be highly toxic to various living organism while others are essential but can be toxic at high doses. Most of their toxicity depends on their particular form in which the trace metal is present in the system [8]. The different forms of particular trace metals or compounds are referred to as "species".…”

Section: Introductionmentioning

confidence: 99%

Speciation of Trace Metals Pb, Zn, Cu and Cd in Surficial Sediment from Makupa Creek Mombasa, Coastal Kenya

Maritim¹,

Gachanja²,

Munyao³

2016

OALib

View full text Add to dashboard Cite

Trace metals (Zn, Pb, Cu, Cd) speciation of surface sediments from Makupa creek, coastal Kenya were determined by sequential extraction procedure. The procedure was used to extract the trace metals in sediments geochemical phases (exchangeable, carbonates, Fe-Mn oxides, organic matter/sulphide, and residual). Trace metals analysis was done using ICP/MS. The trace metal speciation results indicated that Pb, Zn, and Cd were mainly associated with the exchangeable, carbonates and Fe-Mn oxides in most of the sampling sites. The highest concentration of the trace metals were associated with Fe-Mn oxides with Zn concentration at 362.5 µg/g, Pb, 31.5 µg/g. Copper was mostly associated with the organic matter/sulphide and carbonate at concentration of 117.5 µg/g and 69.9 µg/g respectively. Generally, trace metals in sediment from Makupa creek were mainly associated with the bioavailable fractions (BAF) and their ranges were: Pb (60%-98%), Zn (90%-99%), Cu (70%-91%). It was found therefore, that there was trace metals enrichment in sediments from Makupa from anthropogenic sources and bioavailable to biota.

show abstract

Standardization of methods of analysis for heavy metals in sediments

Cited by 48 publications

References 8 publications

Heavy Metal Concentrations in Water and Sediments From Affluents and Effluents of Mediterranean Chilean Reservoirs

Heavy Metal Concentrations in Water and Sediments From Affluents and Effluents of Mediterranean Chilean Reservoirs

Uncertainty assessment applied to marine subsurface datasets

Speciation of Trace Metals Pb, Zn, Cu and Cd in Surficial Sediment from Makupa Creek Mombasa, Coastal Kenya

Contact Info

Product

Resources

About