Vertical and horizontal distribution, source identification, ecological and toxic risk assessment of heavy metals in sediments of Lake Aygır, Kars, Turkey

Kükrer, Serkan

doi:10.1080/15275922.2018.1448905

Cited by 23 publications

(15 citation statements)

References 43 publications

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“…On the contrary, total Cr content did not exceed by the concentration limit. Total Pb content did not exceed the concentration limit in site B 60-100 cm and sites A 40-100 cm and C, possibly due to it had allochthonous origins, such as through surface runoff and industrial drainage (Kükrer, 2018). The amounts of total Cd and Pb were decreased with depth of the soil.…”

Section: Discussionmentioning

confidence: 84%

Risk Assessment of Heavy Metals in Soils Contaminated by Smelting Waste for the Perspective of Chemical Fraction and Spatial Distribution

Zeng

Chen

Tan

et al. 2021

Journal of Environmental Engineering and Landscape Management

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The heavy metals contamination in soil has attracted increasing attention. In this study, the main objective was to determine three heavy metals (Cd, Pb, and Cr) of soils contaminated by smelting waste, and to evaluate pollution risk. The Pb (15.48 mg/kg) and Cd (311.39 mg/kg) mean concentrations exceeded the national standard, while Cr (48.60 mg/kg) concentration did not exceed. The Heavy metal fractions analysis showed that three heavy metals were dominated by FeMn oxides fraction (Fe-Mn). The correlation and cluster analysis indicated that there was significant correlation between Cd and Pb (0.55< r < 0.96), while Cr was not correlation to Cd and Pb. The environmental pollution of heavy metals was assessed by the ratio of secondary phase and primary phase (RSP). The result showed that RSP values of Cd, Pb, and Cr range from 13.05–54.28, 16.11–4.97 and 1.61–52.33, which indicated soil was serious contaminated by them. These results showed that smelting waste discharge led to this smelter soil being seriously contaminated by multiple heavy metals which have a tendency to transport and accumulate into deep soil due to their high fractional transformation.

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Section: Discussionmentioning

confidence: 84%

Risk Assessment of Heavy Metals in Soils Contaminated by Smelting Waste for the Perspective of Chemical Fraction and Spatial Distribution

Zeng

Chen

Tan

et al. 2021

Journal of Environmental Engineering and Landscape Management

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“…Moreover, Zn and Cd contributed 17.5 and 16% of the total ∑TU risk, respectively. Zinc had the maximum contribution to the risk index, followed by Cd and As (Kükrer 2018). The ∑TU index at lower midstream river sites, particularly the Sitalakha River, showed a high toxicity probability of >63.3%, suggesting a moderate to severe toxicity of metals to sediment‐living fauna in the river basin (Xiao et al 2012).…”

Section: Resultsmentioning

confidence: 99%

Quantifying Source Apportionment, Co‐occurrence, and Ecotoxicological Risk of Metals from Upstream, Lower Midstream, and Downstream River Segments, Bangladesh

Islam

Hasanuzzaman

Islam

et al. 2020

Enviro Toxic and Chemistry

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The positive matrix factorization (PMF) receptor model was used for the first time to quantify the source contributions to heavy metal pollution of sediment on a national basin scale in the upstream, midstream, and downstream rivers (Teesta and Kortoya-Shitalakkah and Meghna-Rupsha and Pasur) of Bangladesh. The metal contamination status, cooccurrence, and ecotoxicological risk were also investigated. Sediment samples were collected from 30 sites at a depth range of 0 to 20 cm for analysis of 9 metals using inductively coupled plasma-mass spectrometry. The mean concentrations of metals varied for upstream, lower midstream, and downstream river segments. The results showed that chromium (Cr) exhibited a strong significant co-occurrence network with other metals (e.g., manganese [Mn], iron [Fe], and nickel [Ni]). Monte Carlo simulation results of the geo-accumulation index (Igeo; 63.3%) and risk indices (48.5%) showed that cadmium (Cd) was the main contributor to sediment pollution. However, the cumulative probabilities of sediments being polluted by metals were ranked as "moderate to heavily polluted" (Igeo 46.6%; risk index 16.7%). Toxicity unit results revealed that zinc (Zn) and Cd were the key toxic contributors to sediments. The PMF model predicted metal concentrations and identified 4 potential sources. The agricultural source (factor 1) mostly contributed to copper (Cu; 78.9%) and arsenic (As; 62.8%); Ni (96.9%) and Mn (83.5%) exhibited industrial point sources (factor 2), with 2 hot spots in northwestern and southwestern regions. Cadmium (93.5%) had anthropogenic point sources (factor 3), and Fe (64.3%) and Cr (53.5%) had a mixed source (factor 4). Spatially, similar patterns between PMF apportioning factors and predicted metal sources were identified, showing the efficiency of the model for river systems analysis. The degree of metal contamination in the river segments suggests an alarming condition for biotic components of the ecosystem.

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“…Numerous indices are used to predict the human-induced accumulation of metals and possible damage to the environment. The pollution load index (PLI), potential ecological risk index (PERI) and mean probable effect concentration quotient (mPEC-Q) are often used to identify potential ecological risks, while indices such as the enrichment factor (EF), contamination factor (CF), and geoaccumulation index are used to distinguish between natural and human sources (Bing et al, 2013;Hou et al, 2013;Kaya et al, 2017;Kükrer et al, 2015;Kükrer et al, 2018;Long et al, 2006;Yang et al, 2014;Zahra et al, 2014). In this study, the vertical distribution of heavy metals within two core samples taken from Lake Erikli was examined along with potential ecological effects.…”

Section: Research Articlementioning

confidence: 99%

Anthropogenically-induced ecological risks in Lake Erikli, NW Turkey

Uludağ¹,

Kükrer

Erginal³

2018

International Journal of Environment and Geoinformatics

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This study examined the vertical distribution of heavy metals in the core sediments of Lake Erikli, Turkey and their potential ecological risks. Two core samples 48 and 34 cm in length were taken with a Kajak gravity core sampler. The samples were divided into 2 cm sub-samples in the laboratory and analyzed using ICP-MS. The enrichment factors (EF), potential ecological risk factor (PERI) and pollution load index (PLI) were calculated to evaluate the environmental quality of the sediment. According to the results, Cu, Pb, Zn, Ni, and Cr come from natural sources in both cores and there is no anthropogenic contribution to the distribution of these elements, while some anthropogenic effects were detected for As, Cd and Hg. According to the calculated risk index (CRI) for each metal, the potential risk of Cu, Pb, Zn, Ni, As and Cr is low. Two metals posing a threat to the ecosystem were identified; Cd and Hg. PLI values significantly increased from the bottom of the slice to the surface in accordance with the EF and PERI values. Continuation of the pumping of domestic waste into Lake Erikli will accelerate the process of deterioration.

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Vertical and horizontal distribution, source identification, ecological and toxic risk assessment of heavy metals in sediments of Lake Aygır, Kars, Turkey

Cited by 23 publications

References 43 publications

Risk Assessment of Heavy Metals in Soils Contaminated by Smelting Waste for the Perspective of Chemical Fraction and Spatial Distribution

Risk Assessment of Heavy Metals in Soils Contaminated by Smelting Waste for the Perspective of Chemical Fraction and Spatial Distribution

Quantifying Source Apportionment, Co‐occurrence, and Ecotoxicological Risk of Metals from Upstream, Lower Midstream, and Downstream River Segments, Bangladesh

Anthropogenically-induced ecological risks in Lake Erikli, NW Turkey

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