Geochemical mapping based on overbank sediments in the heavily industrialised border area of Belgium, Germany and the Netherlands

Vos, W. De; Ebbing, Jörg; Hindel, Roland; Schalich, J.; Swennen, Rudy; Keer, Ilse Van

doi:10.1016/0375-6742(96)00009-x

Cited by 45 publications

(15 citation statements)

References 5 publications

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“…The most heavily polluted layers tend to accumulate during the most intensive production of metals, whereas, in the period prior to industrial activity, concentrations of heavy metal are more similar to geochemical background values (De Vos, Ebbing, Hindeel, Schalich, & Van Keer, 1996;Swennen & Van der Sluys, 1998). Heavy metals resulting from anthropogenic contamination are associated with organic matter present in the thin fraction of the sediments, adsorbed on Fe-Mn hydrous oxides, or precipitated as hydroxides, sulphides and carbonates (Forstner, 1985).…”

Section: Introductionmentioning

confidence: 96%

Total and Leachable Heavy Metals in Muddy and Sandy Sediments of Egyptian Coast Along Mediterranean Sea

Nemr

El-Sikaily

Khaled

2006

Environ Monit Assess

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The assessment of marine pollution due to metals was made for surficial sediments sampled from 20 sites along Mediterranean coast of Egypt. The samples were dried, acid digested and analyzed for leachable and total heavy metal contents (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) by flame atomic absorption spectrophotometer (air-acetylene) with deuterium background correction. Evaluation of the heavy metals pollution status was carried out using enrichment factors (EFs), the effect range-low (ERL) and the effect range-median (ERM). The study showed high concentrations of Cd, Co, Pb, Ni and moderate concentrations of Cr, Cu and Mn were contaminated in the sediments of studied sites. The results of Spearman correlation, factor and cluster analysis of the heavy metals analyzed in the collected sediment were discussed. The main source of contamination is the offshore oil field and industrial wastes, which arise due to the ineffective and inefficient operation equipments, illegal discharge and lack of supervision and prosecution of offenders.

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Section: Introductionmentioning

confidence: 96%

Total and Leachable Heavy Metals in Muddy and Sandy Sediments of Egyptian Coast Along Mediterranean Sea

Nemr

El-Sikaily

Khaled

2006

Environ Monit Assess

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“…It is significant, as pointed out by all researchers in this field, for the greatest part of the variance to be ascribed to the geochemical data variance or geochemical (spatial) variation; otherwise, a contoured geochemical distribution map cannot be produced (Garrett, 1969;Howarth, 1983;Sharp, 1987). In the latter case, where geochemical data show no spatial persistence, element concentrations may be plotted at the sample sites as variable-size dots (Bølviken et al, 1986;Bj€ orklund and Gustavsson, 1987;Lahermo et al, 1990), symbols (De Vos et al, 1996), exploratory data analysis symbols (Englund and Sparks, 1988;O'Connor et al, 1988;Demetriades, 1990), or recording on maps the sample site analytical data (Van der Sluys et al, 1997). However, final decisions about geochemical distribution map plotting may be decided upon following a thorough geostatistical structural analysis of the data (Journel and Huijbregts, 1978;Rendu, 1978;Clark, 1979;Isaaks and Srivastava, 1989;Clark and Harper, 2007a, 2007b.…”

Section: Limitations Of the Geochemical Data Set: Quality And Reliabimentioning

confidence: 99%

Understanding the Quality of Chemical Data from the Urban Environment – Part 2: Measurement Uncertainty in the Decision‐Making Process

Demetriades

2011

Mapping the Chemical Environment of Urban Areas

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“…However, owing to widening scope of investigations in environmental geochemistry these media have soon become the norm for pollution assessment (e.g. Cappuyns and Swennen 2004;De Vos et al 1996;Macklin et al 1994;Peh et al 2008;Swennen et al 2002). Voluminous research work during the recent years has largely settled the earlier disputes in scientific literature about their suitability for studying geochemical patterns on local and regional scales.…”

Section: Introductionmentioning

confidence: 99%

Canonical correlation analysis as a tool in the provenance study of overbank sediments from the small mountainous watersheds

2011

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Canonical correlation analysis (CCA) is used in this study in order to trace the lineage of overbank sediment from the initial erosion of the parent rocks down to deposition of detrital material in alluvium of the small mountainous watersheds of the Ž umberak area, Croatia. It helps to elucidate relations between the hierarchically structured systems (rocks, minerals, elements) represented by the ensembles of lithological, mineralogical and geochemical variables. Taking their place in the vertical order of hierarchical complexity, geochemistry and mineralogy of the recent material are considered dependent variable regarding the related watershed lithology, with geochemical variables (major and trace elements) last in the chain. Three canonical models are built and cross-compared in order to unravel the between-level relationships and infer the basic patterns of mineral and geochemical flux from the source rocks to basin. From these, the two hierarchical (provenance) chains epitomized in recombination of the first two canonical functions have been derived highlighting complementary provenances, weathering styles, and dispersion avenues in alluvial sedimentation of the study area. The first clearly separates carbonate from siliciclastic sedimentary source while the second illuminates the origin of phyllosilicate and ferric oxyhydroxide phases with associated suite of elements in absence of clear carbonate signal.

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Geochemical mapping based on overbank sediments in the heavily industrialised border area of Belgium, Germany and the Netherlands

Cited by 45 publications

References 5 publications

Total and Leachable Heavy Metals in Muddy and Sandy Sediments of Egyptian Coast Along Mediterranean Sea

Total and Leachable Heavy Metals in Muddy and Sandy Sediments of Egyptian Coast Along Mediterranean Sea

Understanding the Quality of Chemical Data from the Urban Environment – Part 2: Measurement Uncertainty in the Decision‐Making Process

Canonical correlation analysis as a tool in the provenance study of overbank sediments from the small mountainous watersheds

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