Heavy metal contamination assessment of surface sediments of the Subei Shoal, China: Spatial distribution, source apportionment and ecological risk

Zhang, Mingming; He, Pei Min; Qiao, Guo; Huang, Jian; Yuan, Xiutang; Li, Qiang

doi:10.1016/j.chemosphere.2019.02.058

Cited by 110 publications

(39 citation statements)

References 62 publications

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“…where C f is pollution factor of potentially-toxic element i, Cn is measured content for a single potentially-toxic element, B 0 is the background value for potentially-toxic element, and T r is the toxicity response factor for the given potentially-toxic element, with the following values: Mn = 1 [40], V = Zn = Cr = 2, Cu = Co = Ni = Pb = 5, As = 10, Cd = 30 [41], and Tl = 10 [42]. The grading standards for the ecological risk assessment [43][44][45] are listed in Table S2. The pollution load index (PLI) is widely applied in the pollution evaluation in soils and sediments [46,47].…”

Section: Pollution Evaluation Methodsmentioning

confidence: 99%

“…According to this method, the potential risk coefficient of a single element Er and the potential ecological risk RI are as follows:

where C f is pollution factor of potentially-toxic element i , Cn is measured content for a single potentially-toxic element, B 0 is the background value for potentially-toxic element, and T r is the toxicity response factor for the given potentially-toxic element, with the following values: Mn = 1 [ 40 ], V = Zn = Cr = 2, Cu = Co = Ni = Pb = 5, As = 10, Cd = 30 [ 41 ], and Tl = 10 [ 42 ]. The grading standards for the ecological risk assessment [ 43 , 44 , 45 ] are listed in Table S2 .…”

Section: Methodsmentioning

confidence: 99%

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Spatial Distribution and Ecological Risks of the Potentially-Toxic Elements in the Surface Sediments of Lake Bosten, China

Abuduwaili

Liu

2020

Toxics

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Aiming at the pollution and ecological hazards of the lake sediments of Bosten Lake, once China’s largest inland lake, the spatial distribution and influencing factors of the potentially-toxic elements in its surface sediments were studied with the methods of spatial autocorrelation, two-way cluster analysis, and redundancy analysis. Finally, based on the background value of potentially-toxic elements extracted from a sediment core, a comprehensive evaluation of the risk of these potentially-toxic elements was conducted with the potential-ecological-risk index and the pollution-load index. With data on the grain size, bulk-rock composition, and organic matter content, this comprehensive analysis suggested that with the enrichment of authigenic carbonate minerals, the content of potentially-toxic elements exhibited distinctive characteristics representative of arid regions with lower values than those in humid region. All potentially-toxic elements revealed a significant spatial autocorrelation, and high-value areas mainly occurred in the middle and southwest. The content of potentially-toxic elements is related to Al2O3, K2O, Fe2O3, TiO2, MgO, and MnO, and the storage medium of potentially-toxic elements mainly consists of small particles with a grain size <16 μm. The pollution load index (PLI) for the whole lake due to the potentially-toxic elements was 1.31, and the surface area with a PLI higher than 1 and a moderate pollution level accounted for 87.2% of the total lake area. The research conclusions have an important scientific value for future lake ecological quality assessment and lake environment governance.

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Section: Pollution Evaluation Methodsmentioning

confidence: 99%

“…According to this method, the potential risk coefficient of a single element Er and the potential ecological risk RI are as follows:

Section: Methodsmentioning

confidence: 99%

Spatial Distribution and Ecological Risks of the Potentially-Toxic Elements in the Surface Sediments of Lake Bosten, China

Abuduwaili

Liu

2020

Toxics

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“…The potential ecological risk index (ERI) posed by Swedish geochemist Lars Håkanson (The National Swedish Environment Protection Board, Water Quality Laboratory Uppsala) is based on the "abundance principle", "sink-effect", and "sensitivity factor" [7]. As a diagnostic tool for pollution control, the potential ecological risk index has been widely used since its development in the 1980s [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Water Quality Ecological Risk Assessment with Sedimentological Approach

Ma¹,

Han²

2020

Water Quality - Science, Assessments and Policy

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The potential ecological risk index (ERI) is a useful diagnostic tool for water system assessment. It's based on sedimentology and combined with environmental chemistry and ecotoxicology. This chapter introduces the approach, including basic theory, calculation formula, evaluation criteria, and its parameters. Using a case study, the modification of the classification of the potential ecological risk is discussed. The water quality of the Liaohe River is assessed by the potential ecological risk index with the sedimentological approach. The sediments samples were collected from 19 sites and were analyzed for seven substances (Cd, As, Cu, Ni, Pb, Cr, and Zn) to assess the potential ecological risk. According to the results, Cd was found to be the main pollutant in the Liaohe River. The consequence of the monomial potential ecological risk factor E i r (mean) of each element is ranked as: Cd (93.39%) > As (3.13%) > Cu (1.26%) > Ni (0.97%) > Pb (0.70%) > Cr (0.34%) > Zn (0.22%). The ERI results (358.35) indicate the Liaohe River poses a very high potential ecological risk.

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“…Sediments play a significant role in the release and storage of potentially toxic metals that can lead to ecological and human health risks (Durán et al 2012; Castillo et al 2013; Reible 2014). Heavy metals, like cadmium (Cd), copper (Cu), zinc (Zn), total mercury (Hg), nickel (Ni), lead (Pb), as well as the metalloid arsenic (As) pose serious risks to aquatic ecosystems because of their potential toxicity and nonbiodegradable and persistent nature (Zhao et al 2016; Zhang et al 2019), and present an assessment challenge when evaluating their fate and effects in sediments (Eggleton and Thomas 2004).…”

Section: Introductionmentioning

confidence: 99%

Assessing Biota Accumulation Due to Contamination of Sediments by Storm Water Heavy Metals

Drygiannaki

Bejar

Reible

et al. 2020

Environmental Toxicology and Chemistry

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Evaluating sediment recontamination due to storm water discharges is important when evaluating the long-term effectiveness of sediment remediation efforts at reducing biological impacts. The bioaccumulation of the heavy metals zinc, nickel, copper, cadmium, mercury, and lead and the metalloid arsenic in a clam (Macoma nasuta) was studied in surficial sediments before and after storm water inputs from Paleta Creek, California, USA, during wet seasons in 2015 to 2016 and 2016 to 2017. The bioaccumulation was compared with bulk sediment concentrations and porewater concentrations measured by diffusion gradient in thin film devices. Significant reductions in biota accumulation and porewater concentrations were observed in samples collected after storm seasons compared with before storm seasons despite bulk sediment concentrations remaining the same or increasing. This was apparently the result of the deposition of storm water contaminants in low bioavailable forms. The bioaccumulation of all the measured contaminants showed a positive significant correlation with porewater concentrations (p < 0.1, α = 0.1) and weak or no correlations with bulk sediment concentration. In conclusion, observed bulk sediment recontamination due to storm water should not be assumed to lead directly to greater biota accumulation without bioavailability assessment.

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Heavy metal contamination assessment of surface sediments of the Subei Shoal, China: Spatial distribution, source apportionment and ecological risk

Cited by 110 publications

References 62 publications

Spatial Distribution and Ecological Risks of the Potentially-Toxic Elements in the Surface Sediments of Lake Bosten, China

Spatial Distribution and Ecological Risks of the Potentially-Toxic Elements in the Surface Sediments of Lake Bosten, China

Water Quality Ecological Risk Assessment with Sedimentological Approach

Assessing Biota Accumulation Due to Contamination of Sediments by Storm Water Heavy Metals

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