Assessment of Heavy Metals Pollution in Water and Sediments and Polychaetes in Sinop Shores of The Black Sea

Bat, Levent; Şahin, Fatih; Öztekin, Ayşah

doi:10.18016/ksutarimdoga.v22i45606.535882

Cited by 9 publications

(2 citation statements)

References 23 publications

(14 reference statements)

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“…These findings are probably related to environmental factors and the physiological activity of the animals. Furthermore, Bat et al (2019) showed a significant difference of metal accumulation between seasons in polychaetes on the shores of Sinop in the Black Sea.…”

Section: Discussionmentioning

confidence: 92%

Assessment of trace element accumulation on the Tunisian coasts using biochemical biomarkers in Perinereis cultrifera

Bouhedi

Antit

Chaibi

et al. 2021

scimar

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Our study aimed to evaluate the effect of trace element pollution in the polychaete Perinereis cultrifera (Grube, 1840) from two Tunisian coasts (the port of Rades, S1; and the Punic port of Carthage, S2). To this end, we used an approach based on proximate composition, biomarker responses and trace element bioaccumulation. Our results showed a decreasing order of metals concentrations (Zn>Cu>Cd>Pb) in P. cultrifera from S1 and S2. The accumulation of Cd, Cu and Zn was significantly higher in S1 than in S2, especially in summer. Lipid, protein and glycogen content also changed significantly between S1 and S2 in relation to trace metal accumulation and environmental conditions. The results revealed a higher level of thiobarbituric acid in P. cultrifera from S1 than from S2. In addition, the enzymatic and non-enzymatic antioxidant defence system (catalase, glutathione-S-transferase, superoxide dismutase, glutathione and metallothionein) was enhanced and acetylcholinesterase activities decreased in P. cultrifera in S1 in comparison with S2. A principal component analysis showed that P. cultrifera from S1 exhibited a clear disruption of oxidative stress responses and trace element bioaccumulation among seasons. Overall, these findings revealed the sensitivity of those organisms to environmental conditions.

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Section: Discussionmentioning

confidence: 92%

Assessment of trace element accumulation on the Tunisian coasts using biochemical biomarkers in Perinereis cultrifera

Bouhedi

Antit

Chaibi

et al. 2021

scimar

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“…The sandworm ( Perinereis spp.) is the optimal macrofauna to be collected and used to detect Zn, Cu, Pb, and Cd in the sediment [ 45 , 46 ]. However, in the heavy metal concentration correlation analyses, only Mn was shown to be directly correlated between sediment and macrofauna ( r = 0.976; p < 0.01).…”

Section: Resultsmentioning

confidence: 99%

Relationship between Potential Trace Elements Contamination in Sediment and Macrofauna in the Upper Gulf of Thailand

Kroeksakul

Ngamniyom

Silprasit

et al. 2023

Journal of Environmental and Public Health

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The relationship between heavy metal contamination in sediment and macrofauna in the upper Gulf of Thailand is presented as an indication of the environmental quality of coastal waters. This study aims to monitor five heavy metal elements (As, Cd, Mn, Ni, and Pb) between sediment and the sandworm (Perinereis quatrefagesi (P. quatrefagesi)). The geoaccumulation index (Igeo), enrichment factor (EF), and contamination factor (CF), including the pollution load index (PLI), were used for statistical analyses by one-way analysis of variance (ANOVA), and differences in the data were compared using the least significant difference (LSD) test. The sediment heavy metal concentrations were found to decrease (Al > Mn > Pb > Ni > Cd > As), and the quantity of heavy metal contamination in the sediment was not over the emergency point defined by the Pollution Control Department in Thailand. The Mn at the SH and SP points has Igeo > 0 but <1 and is considered not polluted to moderately polluted. The EF overall is <2 and is deficient in mineral enrichment. The CF of the Samut Sakhon (SH) and Samut Prakan (SP) sites had high Al and Mn values, indicating a low pollution level, but the PLI had an all-site average of 0.0215 ± 0.0252, which is <1. This indicates that the present areas are close to ideal and not polluted. To measure heavy metals in macrofauna, P. quatrefagesi was assessed, and concentrations were found to decrease (Mn > Ni > Cd > Pb > As). The Mn between sediment and the sandworm was directly correlated (r = 0.976; p < 0.01 ). The sandworm performs as a bioindicator for the quality of coastal sediment, specifically with Mn; thus, the result present at a baseline level may grow in the future if there is no control measure for defensive measures.

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An empirical model based environmental pollution level analysis in coastal area of Gulf of Mannar using remote sensing data

Jiji¹,

Durairaj²,

Athiswamy

2022

Concurrency and Computation

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Understanding the statistical relations among the remote sensing data and observed water quality parameters is the necessary task to develop an estimator model. In order to estimate the exact water quality parameter distribution map of the study area from remote sensing data, this present study proposed an empirical mathematical relational and signature (EMRS) model. Through this EMRS model, an environmental pollution level analysis has been carried out for coastal area of Gulf of Mannar. EMRS highly facilitates to map the distribution of the water quality parameters. The insitu samples were involved with ICP‐OES and Physicochemical analysis and the test results were used for convergence of EMRS. The heavy metals such as Fe, Cu, Cd, Hg, and physicochemical parameters such as pH, dissolved oxygen (DO), biological oxygen demand (BOD), alkalinity, total suspended solids (TSS), turbidity and hardness are the experimented water quality parameters. The Landsat, Sentinal remote sensing data were used by the model to estimate the values and distribution and pollution level maps. The experimental analysis shows that the extracted element concentration using the proposed EMRS has highly correlated with the observed values based on the different measures such as R2 and root mean square error (RMSE).

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Assessment of Heavy Metals Pollution in Water and Sediments and Polychaetes in Sinop Shores of The Black Sea

Cited by 9 publications

References 23 publications

Assessment of trace element accumulation on the Tunisian coasts using biochemical biomarkers in Perinereis cultrifera

Assessment of trace element accumulation on the Tunisian coasts using biochemical biomarkers in Perinereis cultrifera

Relationship between Potential Trace Elements Contamination in Sediment and Macrofauna in the Upper Gulf of Thailand

An empirical model based environmental pollution level analysis in coastal area of Gulf of Mannar using remote sensing data

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