The distributions of particulate heavy metals and its indication to the transfer of sediments in the Changjiang Estuary and Hangzhou Bay, China

Che, Yue; He, Qing; Lin, Wei

doi:10.1016/s0025-326x(02)00355-7

Cited by 110 publications

(45 citation statements)

References 24 publications

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“…Without presenting the full correlation and regression A geochemical and statistical approach for assessing heavy metal... results, it should be noted that when the six metals were correlated with the different grain size fractions it was observed that the grain size of the sediments did not have a noticeable pronounced effect on the spatial distribution of heavy metals. One reason for this occurrence could be the fact that the analyzed grain sizes were not in the very fine material range (< 0.063 mm) which numerous investigators (for example, Förstner, et al,1982;Cauwet, 1987;Arujo, et al, 1988;Chakrapani and Subramanian, 1993;Maurer, et al, 1994;De Gregori, et al, 1996;Ujevi, et al, 2000;Zhang, et al, 2001;Avila-Perez, et al, 2002;Che, et al, 2003) found to be associated with the highest concentrations of heavy metals. In addition to correlation and regression analysis, discriminant analysis was used to investigate whether the spatial variations of the various metals along the coast had statistically significant concentrations in specific (i.e., localized) or well-defined geographic areas.…”

Section: Statistical Analysesmentioning

confidence: 99%

“…The sediments, therefore, become large repositories of toxic heavy metals. While sediment contamination by trace metals in marine areas has received increased global attention by investigators Ryan and Windom, 1988;Subramanian and Mohanachandran, 1990;Ergin, 1991;Din, 1994;McMurtry, et al, 1995;De Gregori, et al, 1996;Balls, et al, 1997;Buchholtz, et al, 1997;Uriarte, et al,1998;Çelo, et al, 1999;Zhang, et al, 2001;Zabetoglou, et al, 2002;Lakhan, et al, 2002;Caccia, et al, 2003;Che, et al, 2003;Chen, et al, 2004;Santos, et al, 2005), there is, nevertheless, very limited research on concentrations of heavy metals in the nearshore environment of the Caspian sea. Previous investigations have documented the accumulation of contaminants in Caspian sea fish populations (Kijawara, et al, 2002;Anan, et al, 2002;Kijawara, et al, 2003;Agusa, et al, 2004), the concentrations of metals (De Mora, et al, 2004a), organochlorinated compounds (De Mora, et al, 2004b) and aliphatic and aromatic hydrocarbons (Tolosa, et al, 2004) in Caspian sea sediments.…”

Section: Introductionmentioning

confidence: 99%

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A geochemical and statistical approach for assessing heavy metal pollution in sediments from the southern Caspian coast

Parizanganeh

Lakhan

Jalalian

2007

Int. J. Environ. Sci. Technol.

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ABSTRACT:The nearshore marine environment of the Caspian sea is a major repository for toxic metals originating from various sources. Since the persistent toxic metals pose serious health risks this research concentrated on investigating the concentrations and spatial distribution of metals in the nearshore sediments along the Iranian coast of the Caspian sea. Fourteen sampling sites were selected along the coast and approximately 400 g of surficial sediments were obtained. Samples were sieved and three grain size fractions from each sample plus fourteen bulk samples were selected for the analysis of metals. Laboratory analysis of the samples utilized the Cold Acetic protocol, followed by Inductively coupled plasma optical emission spectroscopy. The statistical techniques were used to analyze all obtained data. Linear regression analysis demonstrated that grain size of the sediments was not a major factor controlling the concentrations and spatial distributions of heavy metals. Box and Whisker plots emphasized that metal concentrations were not homogeneously distributed. Discriminant analysis was also proved to be useful in identifying geographic areas where heavy metal concentrations occur along the coast.

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Section: Statistical Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A geochemical and statistical approach for assessing heavy metal pollution in sediments from the southern Caspian coast

Parizanganeh

Lakhan

Jalalian

2007

Int. J. Environ. Sci. Technol.

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“…In contrary to Pereira et al (2007) observations, some researchers (Ujevic et al, 2000;Zhang et al, 2001;Che et al, 2003;Avila-Perez et al, 1999) found organic matter to be associated with the highest concentrations of heavy metals.…”

Section: Resultsmentioning

confidence: 67%

Heavy Metals Contamination of Road-Deposited Sediments

Yisa¹

2010

American Journal of Applied Sciences

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Problem statement: Impact of anthropogenic activities on man and his environment as a result of the growing rate of urbanization in Bida, Nigeria is of a great concern. Street sediments that accumulate along pavements in urban environments have the potential to provide considerable loadings of heavy metals to receiving waters and water bodies, particularly with changing environmental conditions. The objective of this research was to evaluate the streets sediment contamination in Bida, Nigeria. Approach: Fifty five sediment samples were collected from four roads that experience intense traffic conditions and analyzed in the laboratory for some heavy metals by atomic absorption Spectrophotometric method and multivariate statistical techniques. Results: The overall decreasing metal concentration order was: Pb > Mn > Fe > Zn > Cu > Cr > Ni > Cd. Significantly positive correlation was only found between Cd and organic matter (r = 0.580). Factor analysis shows that road deposited sediment quality data consists of four major components accounting for 77.11% of cumulative variance of the contamination: Ni, pH and silt + clay; Cr, Fe and organic matter; Mn and Zn and finally Cu and Pb. Discriminant analysis revealed that the first two Discriminate Functions (DF1 and DF2) contain 90.61% information for Cu, Pb and Ni accumulation. Conclusion: This study concluded that the concentrations of all metals measured in Bida can be considered to present a low level of contamination and that multivariate statistical analysis is a useful tool in understanding contaminants relationships.

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“…Heavy metals in surface waters (Multiwave 3000, Perkin-Elmer) (Horowitz and Elrick, 1987;Moore et al, 1989;Tam and Wong, 2000;Che et al, 2003) and the digested sample was analysed for the total dissolved metal concentration using ICP-OES. The membrane filter after filtration together with the residue after centrifusion was dried in an oven at 103 C for 24 h. A known weight of the particulate was digested in Teflon bomb with 5 mL 30% H 2 O 2 and 5 mL 65% HNO 3 using a microwave digester (Usero et al, 1998;Martin et al, 1998;Morillo et al, 2004;Guevara-Riba et al, 2004;Yuan et al, 2004) and the digested sample was analysed for the total particulate metal concentration using graphite furnace AAS.…”

Section: Determination Of Total Dissolved and Particulate Metal Concmentioning

confidence: 99%

Speciation of heavy metals in the surface waters of a former tin mining catchment

Ashraf

Maah

Yusoff

et al. 2012

Chemical Speciation & Bioavailability

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This study was conducted to investigate the chemical speciation of dissolved and particulate elements (Pb, Zn, Cu, Cr, As and Sn) in the mining wastewater. Speciation patterns of dissolved elements were estimated by adsorptive stripping voltammeter while particulate elements were analysed using a newly developed sequential extraction leaching procedure. The procedure has been operationally defined among five host fractions, namely exchangeable, carbonate, reducible, organic bound and residual. A total of six elements (Pb, Zn, Cu, Cr, As and Sn) were analysed in 30 samples at 10 locations (P1 -P10) representing three subsequent samples at the same location to obtain the average value from ex-tin mining catchment. The results showed that the heavy metal pollution in P4 and P8 was more severe than in other sampling sites, especially Sn and Pb pollution. In the water samples at P4 and P8, both the total contents and the most dangerous non-residual fractions of Sn and Pb were extremely high. More than 90% of the total concentrations of As and Cr existed in the residual fraction. Cu and Zn mainly (more than 60%) occurred in the residual fraction. However, Pb and Sn were predominantly present in the non-residual fractions of the surface water. For all the six dissolved elements, the less labile species formed the predominant fraction in their speciation patterns. We conclude that the speciation patterns of particulate elements show that most of the Pb, Zn, Cu, Cr, As and Sn were found in the reducible fraction whereas Pb and Sn were mainly associated with the organic fraction.

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The distributions of particulate heavy metals and its indication to the transfer of sediments in the Changjiang Estuary and Hangzhou Bay, China

Cited by 110 publications

References 24 publications

A geochemical and statistical approach for assessing heavy metal pollution in sediments from the southern Caspian coast

A geochemical and statistical approach for assessing heavy metal pollution in sediments from the southern Caspian coast

Heavy Metals Contamination of Road-Deposited Sediments

Speciation of heavy metals in the surface waters of a former tin mining catchment

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