Contamination, toxicity and risk assessment of heavy metals and metalloids in sediments of Shahid Rajaie Dam, Sefidrood and Shirinrood Rivers, Iran

Shakeri, Ata; Shakeri, Rahimeh; Mehrabi, Behzad

doi:10.1007/s12665-016-5461-4

Cited by 16 publications

(13 citation statements)

References 49 publications

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“…The toxic-response factors for As, Cd, Cr, Cu, Ni, Pb and Zn are 10, 2, 5, 5, 30, 5, and 1. PERI indicates the sensitivity at the biological level to the PTE and explains the potential ecological risk caused by the overall contamination [30,31]. The degree of ecological risk of each element (E i r ) and the Potential Ecological risk Index (PERI) classes are shown in Table S1 [ [30][31][32][33].…”

Section: Determination Of Pollution Indicesmentioning

confidence: 99%

Potentially Toxic Element Content in Arid Agricultural Soils in South Iran

Moghtaderi¹,

Shakeri

Rodríguez-Seijo

2020

Agronomy

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Potentially toxic elements (PTE) are considered to be dangerous threats, both for human health and the environment. Here, the contamination level, sources, and ecological risks posed by PTE were investigated in 19 topsoils from agricultural lands in the Bandar Abbas County on the southern coast of Iran. The soil fraction <63 μm was used for the analysis of the pseudototal contents of PTE (arsenic, cadmium, cobalt, chromium, copper, lead, manganese, molybdenum, nickel, vanadium, and zinc). The results were analyzed using principal component analysis (PCA) and Pearson’s correlations, different pollution indices [enrichment factor (EF), contamination factor (Cf), and modified degree of contamination (mCd), and the potential ecological risk index (PERI). The results of the pollution indices showed that the contamination levels of the studied agricultural soils are low to moderate, while the average PERI values indicate that the ecological risks of PTE range from low to high in the soils of the studied area. Correlations and PCA analyses suggest that studied elements have three possible origins: geogenic (chromium, cobalt, copper, manganese, vanadium, and zinc), anthropogenic (cadmium, nickel, phosphorus and lead) and atmospheric (arsenic) sources. These findings are helpful for the long-term assessment of PTE in the Bandar Abbas County.

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Section: Determination Of Pollution Indicesmentioning

confidence: 99%

Potentially Toxic Element Content in Arid Agricultural Soils in South Iran

Moghtaderi¹,

Shakeri

Rodríguez-Seijo

2020

Agronomy

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“…Among the studied metals, only Cu and Ni are lower in concentration than the recommended sediment quality guidelines (SQGs) for probable effect level (PEC). For a more realistic measure of the sediment toxicity, mean quotients were introduced (Shakeri et al 2016).…”

Section: Ecological Risk Assessmentmentioning

confidence: 99%

“…Industrial effluents and wastes dumped into water bodies alter its physicochemical characteristics and elevate the heavy metal concentration according to the nature of effluent being discharged (Blinova et al 2012). Besides chemical leaching from bedrock, water drainage basin and runoff from banks are the leading sources for the lithogenic contribution of heavy metals (Jain et al 2005;Shakeri et al 2016). Heavy metals added to the aquatic system are distributed during their transport between the aqueous phase and bed sediments (Sin et al 2001).…”

Section: Introductionmentioning

confidence: 99%

Sources evaluation and ecological risk assessment of heavy metals accumulated within a natural stream of Durgapur industrial zone, India, by using multivariate analysis and pollution indices

et al. 2019

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In this study, variations in physicochemical parameters and heavy metal contamination in water-sediments of a natural stream in the Durgapur industrial zone have been investigated. pH, COD, Cl − , CN − and heavy metals, viz. Pb, Hg and Fe concentrations in channel water, are higher than Indian standards. Metal concentrations in sediments are many folds higher than background value, where Pb, Cd, Hg and Cr contents exceed the sediment quality guidelines. Contamination factor (C f) value of channel water follows the order of Hg > Pb > Fe > Cr > Cd > Cu > Ni, whereas enrichment factor and geoaccumulation index (I geo) values in channel sediments are in the order of Hg > Cr > Ni > Pb > Cd > Fe > Cu. The assessment of contamination index (C d), modified contamination index (mC d) and pollution load index indicates that channel water and sediment samples in the study area are strongly contaminated by heavy metals. Sediment samples based on PELQ and ERMQ are highly toxic, with high degree of potential ecological risk at all the monitored stations. Multivariate analysis infers that heavy metals in channel water and sediments are majorly sourced from industrial discharge.

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“…According to a study, the limits of class I seawater quality in the "Seawater Quality Standard" and the class I sediment standard in the "Marine Sediment Standard" are used as the evaluation criteria [7]. The single pollution index C i f is used to evaluate the risk of heavy metal pollution in seawater quality and sediments.…”

Section: Calculation Of Single Pollution Index and Single Potential Ementioning

confidence: 99%

Evaluation model of major heavy metals pollution factors in coastal waters and sediments

Feng¹,

Niu²

2019

Desalination and Water Treatment

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a b s t r a c tIt has great a subjective influence on the evaluation of major heavy metal pollution factors in coastal waters and sediments by using the traditional Nemerow exponential method, without considering the harmful differences of different heavy metals, and resulting in a low accuracy of the evaluation results. In this paper, a new model to evaluate the major heavy metal pollution factors in coastal waters and sediments is established, to calculate the single pollution index and potential ecological risk index of heavy metals. On this basis, the fuzzy comprehensive evaluation method is used to construct the main heavy metal pollution factor model of coastal waters and sediments. The heavy metal pollution factor is reasonably evaluated and the risk grade of heavy metal pollution factor in coastal waters and sediments is obtained. The results of sampling analysis show that the evaluation results obtained by the model are as follows: the pollution index of heavy metals in the coastal water with the order of Pb > Cu > Hg > As > Cd > Zn; the potential ecological risk index of heavy metals in sediments is Pb > Cu > As > Zn > Hg > Cd. The pollution degree of area C is the highest, area A is the second, and area B is the smallest. The results show that the model can accurately evaluate the main heavy metal pollution factors in coastal waters and sediments.

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Contamination, toxicity and risk assessment of heavy metals and metalloids in sediments of Shahid Rajaie Dam, Sefidrood and Shirinrood Rivers, Iran

Cited by 16 publications

References 49 publications

Potentially Toxic Element Content in Arid Agricultural Soils in South Iran

Potentially Toxic Element Content in Arid Agricultural Soils in South Iran

Sources evaluation and ecological risk assessment of heavy metals accumulated within a natural stream of Durgapur industrial zone, India, by using multivariate analysis and pollution indices

Evaluation model of major heavy metals pollution factors in coastal waters and sediments

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