Evaluation of the concentrations of trace elements in stream sediments by factor and cluster analysis and the sequential extraction procedure

Borovec, Zdenǩ

doi:10.1016/0048-9697(95)04901-0

Cited by 93 publications

(34 citation statements)

References 20 publications

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“…Uranium still exhibited a small contribution for factor 1, which could be caused by adsorption and corn- Note: + Designate the relative error value referring to the precission of the analytical method. * Statistical data are from the twenty-two samples (see Borovec 1996).…”

Section: Resultsmentioning

confidence: 99%

Trace elements levels in sediments of the Czech part of the Elbe river

Borovec

1996

GeoJournal

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A study was carried out of the accumulation of 45 elements in the fine-grained fraction (< 63 p,m) of the surface stream sediments of the Elbe (Labe) River. The metal contents in the sediments, compared to the geochemical background concentrations, were highest for Ag, Cd, Cu, Hg, Zn, Pb and As. Statistical factor analysis was employed to identify seven types of components in sediments with different sedimentological and.geochemical character. The eigenvalues of the first seven factors explained 85% of the total variance. Most of the contaminants in the bottom sediments appear to be bonded to hydrated Fe and Mn oxides and to particulate loading. Possible pollution sources were found by cluster analysis.

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Section: Resultsmentioning

confidence: 99%

Trace elements levels in sediments of the Czech part of the Elbe river

Borovec

1996

GeoJournal

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“…Mainly non-parametric tests were used in hypothesis testing (Chapman, 1996). Factor analysis was done with factor extraction using the method of principle component (Borovec 1996) and USGS seasonal-Kedal method was used to identify long term trends.…”

Section: Quality Control and Statistical Analysismentioning

confidence: 99%

“…Finally a factor analysis was carried out to clearly identify the dominant set of parameters which account for the greatest variability (Zeng and Rasmussen 2005;Borovec 1996). Table 02 and 03 gives Eigen values and factor correlations (factors extracted based on the theory of Principle Component without a rotation).…”

Section: Analysis Of Historical Datamentioning

confidence: 99%

Characterisation and Description of Surface Water Quality in the Threatened Urban Wetlands around the City of Colombo

2011

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Colombo is a city surrounded by a large and interconnected system of natural wetlands. These wetlands which have historically provided a range of water services to the city are now believed to be threatened by degradation due to the recent changes in the urbanization patterns and urban lifestyle in Colombo. This paper presents a study on the current state and recent trends in surface water quality in a selected segment of these wetlands. The study was carried out as a part of a broader multidisciplinary research. The paper consists of a historical analysis of trends in surface water quality parameters and situation analysis of short term spatial and temporal water quality variation in the study area. The research identified that water quality parameters indicating domestic wastewater related pollution showed an increasing trend during the study period. BOD, Phosphates and Fecal Coliform were recorded in levels exceeding the accepted ambient water quality standards. Concentrations of several heavy metals were also above the ambient water quality standards. A distinct difference was observed in water quality between peripheral areas and internal water ways of the wetland. All evidence directs towards severe water quality degradation in the wetland dominated by domestic waste discharges and scattered solid waste dumps. This condition may lead to a nutrient enrichment of the wetland and cause biological and physical responses that may affect adversely on the water services provided.

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“…Analysis of variance (ANOVA and MANOVA) has been used to investigate the influence of location on forms of metals in roadside soil (Nowak, 1995). Multiple regression analysis has proved valuable in processing sequential extraction data to obtain information on plant availability of trace metals in soils (Qian et al, 1996; 280 Speciation in compartments of the environment Li et al, 1995b (modified Tessier) SRM 2711 d Fe, K, Mn, Ni, P, Pb, Sr, Ti, V, Zn 5-stage MAG-1 a , LKSD-4 b , TILL-2 b , As, Be, Ca, Cd, Ce, Hall et al, 1996 SO-1 Zhang et al, 1998) whilst, in the aquatic environment, chemometric methods have provided insight into sources of heavy metal contamination (Borovec, 1996;Tsai et al, 1998). Chemometrics can also be used to overcome some of the intrinsic deficiencies of sequential extraction, such as non-specificity.…”

Section: Use Of Chemometricsmentioning

confidence: 99%