Trace element contamination in the nearshore sediments of the Tamiraparani estuary, Southeast coast of India

Magesh, N.S.; Chandrasekar, N.; Krishnakumar, S.; Peter, T. Simon

doi:10.1016/j.marpolbul.2017.01.005

Cited by 20 publications

(7 citation statements)

References 25 publications

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“…The CF, LSI, and GSI were calculated according to the equations: (1) CF 5 [CW/TL 3 ] 3 100, (2) LSI 5 (LW/CW) 3 100, (3) GSI 5 (GW/CW) 3 100, where CW, carcass weight (total weight minus viscera and gonads); GW, gonad weight; TL, total length; LW, liver weight. The CF is based on viscera-free and gonad-free weight to avoid bias due to variations in stomach or intestinal contents, liver size, or sexual maturation.…”

Section: Determination Of Morphometric Indicesmentioning

confidence: 99%

“…Estuaries worldwide are increasingly subject to anthropogenic pressures in urbanized areas and several have been highly modified to suit human activities. Many estuaries which were of high ecological value are now heavily impacted by anthropogenic inputs, ranging from legacy contamination from registered contaminated sites to ongoing pollution via stormwater and industrial discharges …”

Section: Introductionmentioning

confidence: 99%

“…The objective was to assess the overall health status of black bream collected in a typical urban waterway (Claisebrook Cove). Specific aims were (1) to evaluate if fish are exposed to bioavailable contaminants at the remediated site of Claisebrook Cove; (2) to assess if the health status of the fish collected in Claisebrook Cove differs from the health in fish collected from a reference site (Burswood Lake); and…”

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confidence: 99%

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Biomarker responses and PAH ratios in fish inhabiting an estuarine urban waterway

Duarte

Sadauskas-Henrique

Almeida-Val

et al. 2017

Environmental Toxicology

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Many cities worldwide are established adjacent to estuaries and their catchments resulting in estuarine contamination due to intense anthropogenic activities. The aim of this study was to evaluate if fish living in an estuarine urban waterway were affected by contamination, via the measurement of a suite of biomarkers of fish health. Black bream (Acanthopagrus butcheri) were sampled in a small urban embayment and a suite of biomarkers of fish health measured. These were condition factor (CF), liver somatic index (LSI), gonadosomatic index (GSI), hepatic EROD activity, polycyclic aromatic hydrocarbon (PAH) biliary metabolites, serum sorbitol dehydrogenase (s-SDH) and branchial enzymes cytochrome C oxidase (CCO), and lactate dehydrogenase (LDH) activities. The biomarkers of exposure EROD activity, and pyrene- and B(a)P-type biliary metabolites confirmed current or recent exposure of the fish and that fish were metabolizing contaminants. Relative to a reference site, LSI was higher in fish collected in the urban inlet as was the metabolic enzyme LDH activity. CF, GSI, s-SDH, CCO, and naphthalene-type metabolites were at similar levels in the urban inlet relative to the reference site. PAH biliary metabolite ratios of high-molecular-weight to low-molecular-weight suggest that fish from the urban inlet were exposed to pyrogenic PAHs, likely from legacy contamination and road runoff entering the embayment. Similarly, the sediment PAH ratios and the freshness indices suggested legacy contamination of a pyrogenic source, likely originating from the adjacent historic gasworks site and a degree of contamination of petrogenic nature entering the inlet via storm water discharge. Biomarkers of exposure and effect confirmed that black bream collected in the Claisebrook Cove inlet, Western Australia, are currently exposed to contamination and are experiencing metabolic perturbations not observed in fish collected at a nearby reference site.

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Section: Determination Of Morphometric Indicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Biomarker responses and PAH ratios in fish inhabiting an estuarine urban waterway

Duarte

Sadauskas-Henrique

Almeida-Val

et al. 2017

Environmental Toxicology

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“…Therefore, the evaluation of heavy metal distribution in the surface sediments is useful for determining the pollution levels in the marine ecosystem of the southeast coast of India. In previous studies, many researchers focused on the heavy metal distribution and pollution status of the marine sediments (near the shore and shelf ) in various regions along the Bay of Bengal in India [17][18][19][20][21][22][23][24][25][26][27][28]. This study, however, investigates the heavy metal pollution levels of the surface sediments along the Thondi coast, Bay of Bengal, South India.…”

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confidence: 99%

Heavy metal pollutants and their spatial distribution in surface sediments from Thondi coast, Palk Bay, South India

2021

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Background The concentration of heavy metals and their spatial distribution in surface sediments collected from the Thondi coast, Palk Bay, South India were analysed in this study. The sediment grain size, pH, EC, and major elements (Fe, and Al), heavy metal concentrations (Mn, Cr, Zn, Cd, Ni, Cu, and Pb) were determined and the values for the geoaccumulation index (Igeo), enrichment factor (EF), potential contamination index (Cp), potential ecological risk index (RI), contamination factor (CF), modified contamination degree (mCd), degree of contamination (Cd), and potential contamination factors (Cp) were calculated based on their background values to determine the pollution level of the study area. Multivariate analysis such as Pearson’s correlation coefficient, principal component analysis/factor analysis (PCA/FA), cluster analysis, and regression analysis are a versatile method for identifying heavy metal sources and determining the relationship between pollutants in marine sediment. Results The pollution indices, namely EF, CF, Cd, mCd, CP, RI, and Igeo, revealed that the heavy metal contamination was due to Cd, while a moderate level of contamination was caused by Cu, Zn, Pb, and Cr. The principal component analysis and correlation matrix analysis showed a strong positive loading for Cd due to its high level of contamination in the study area. Anthropogenic inputs such as municipal wastewater, domestic sewage discharge, fishing harbour activities, and industrial and aquaculture wastes led to the increased Cd concentration in the study area. Moreover, the pollution load index revealed that the sediments were polluted by heavy metals. Conclusion The findings of this study revealed that the increased concentration of heavy metals in the study area increases the toxicity in the marine environment, thus affecting the ecosystem.

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“…Some of the highest concentrations of metals in the marine environment are found in sediments, and, in certain regions, it has been of sufficient strength to impose anthropogenic 'fingerprints' on the bottom sediments. Detecting the pollution source in aquatic environment can be done through the knowledge of trace metal concentration and its distribution in sediments (Magesh, Chandrasekar, Krishnakumar, & Simon Peter, 2017;Sivakumar et al, ) which includes sediments as one of the environmental parameters to monitor the marine pollution. The limited input of sediments due to lesser and sporadic rainfall in Manakudy catchment zone poses impact of significant anthropogenic signatures in the estuarine sediments (Muthusamy, Sivakumar, Durai, Sheriff, & Subramanian, 2018).…”

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confidence: 99%

Elemental geochemistry of surface sediments from Manakudy estuary, south‐west coast of India: Inferences to sources of elements and their accumulation

et al. 2021

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Manakudy estuary is located in the southernmost tip of the Indian sub-continent, which is essential to study the sediment geochemistry as it receives limited input of sediments during the rainy season from its catchment zones. The elemental geochemical variation of sediments is to understand the mechanism influencing the estuarine environment, and it becomes baseline data to assess the environmental impact in the near future. Twenty surface sediments samples were collected at different seasons, and the grain size results showed that the estuary sediments were carpeted by the mixture of sand, silt, clay, organic matter (OM), and CaCO 3 . The seasonal variation of elements is slightly more in the pre-monsoon than in the post-monsoon season. Fe showed maximum variation, while Cd showed minimum variation in total heavy metal concentrations of detrital sediments. The order of abundance of metals based on their mean values is as Fe > Mn > Cr > Zn > Cu > Pb > Ni > Co > Cd in pre-monsoon and Fe > Mn > Zn > Cr > Ni > Co > Cu > Pb > Cd > in post-monsoon, respectively. Different elemental ratios and enrichment factors were used to assess the abundance of major and trace elements in both seasons. The ecological risk assessment clearly shows the higher concentration of a few metals in the estuarine sediments during post-monsoon. Correlation and factor analysis show that from geogenic along with the anthropogenic input of industrial effluents, agriculture, urban, municipal wastes and slum sewage are the major sources for derived metals in the estuarine sediments.

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Trace element contamination in the nearshore sediments of the Tamiraparani estuary, Southeast coast of India

Cited by 20 publications

References 25 publications

Biomarker responses and PAH ratios in fish inhabiting an estuarine urban waterway

Biomarker responses and PAH ratios in fish inhabiting an estuarine urban waterway

Heavy metal pollutants and their spatial distribution in surface sediments from Thondi coast, Palk Bay, South India

Elemental geochemistry of surface sediments from Manakudy estuary, south‐west coast of India: Inferences to sources of elements and their accumulation

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