Fraction spatial distributions and ecological risk assessment of heavy metals in the sediments of Baiyangdian Lake

Ji, Zehua; Zhang, Yu; Zhang, Hao; Huang, Chenxi; Pei, Yuansheng

doi:10.1016/j.ecoenv.2019.02.062

Cited by 80 publications

(23 citation statements)

References 46 publications

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“…The average Exch-Zn and Exch-Cd percentages were 51.6% (range: 20.9-90.4%) and 52.2% (range: 11.2-74.5%), respectively. Previous studies demonstrated that the elevated proportions of exchangeable metals originated primarily from human sources (Ji et al, 2019;Otansev et al, 2016) proving support for anthropogenic inputs as the primary source of Zn and Cd in the study watershed. The chemical fractions for Cu showed a distinct distribution from the other metals.…”

Section: Metal Concentrations and Chemical Fraction In Sedimentsmentioning

confidence: 54%

“…In particular, research has demonstrated the importance of characterizing various metal fractions for evaluating metal contamination and assessing ecological/human risk because mobile and exchangeable fractions are generally more bioaccessible and bioavailable to organisms, resulting in bioaccumulation/ biomagnification in the aquatic food web (Tessier et al, 1979;Pueyo et al, 2008). For example, Ji et al (2019) detected a high ecological risk due to an elevated exchangeable metal fraction in Baiyangdian Lake (China) and Nemati et al (2011) identified medium and high risk for Zn and Cd in Sungai Buloh sediments by RAC index derived form a modified BCR sequential extraction procedure. Based on the perceived of the various metal fractions, several indices have been developed to provide comprehensive and reliable results for assessing potential metal toxicity risks from contaminated in sediments (Wang et al, 2019a).…”

Section: Introductionmentioning

confidence: 99%

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A comprehensive analysis and source apportionment of metals in riverine sediments of a rural-urban watershed

Xia

Zhang

et al. 2020

Journal of Hazardous Materials

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Quantitative assessment of metal sources in sediments is essential for implementation of source control and remediation strategies. This study investigated metal contamination in sediments to assess potential ecological risks and quantify pollutant sources of metals (Cu, Zn, Pb, Cd, Cr, Co and Ni) in the Wen-Rui Tang River watershed. Total and fraction analysis indicated high pollution levels of metals. Zinc and Cd posed high ecological risk based on the risk assessment code, with the highest ecological risk found in the southwestern of the watershed. The positive matrix factorization (PMF) model was highly effective in predicting total metal concentrations and identified three contributing metal sources. An agricultural source (factor 1) contributed highly to Cu (74.1%) and Zn (42.5%), and was most prominent in the west and south-central portions of the watershed. Cd (93.5%) showed a high weighting with industrial sources (factor 2) with a hot spot in the southwest. Factor 3 was identified as a mixed natural and vehicle traffic source that showed large contribution to Cr (65.2%), Ni (63.9%) and Pb (50.7%). Spatial analysis indicated a consistent pattern between PMF-identified factors and suspected metal sources at the watershed scale demonstrating the efficacy of the PMF modeling approach for watershed analysis.

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Section: Metal Concentrations and Chemical Fraction In Sedimentsmentioning

confidence: 54%

Section: Introductionmentioning

confidence: 99%

A comprehensive analysis and source apportionment of metals in riverine sediments of a rural-urban watershed

Xia

Zhang

et al. 2020

Journal of Hazardous Materials

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“…The exchangeable state, carbonate-bound state, and Fe-Mn oxide binding state are easily absorbed directly or indirectly and belong to the unstable state [20]. Many scholars have conducted research on heavy metal pollution using the Tessier sequential extraction method in samples of soils [21], sediments [22], and sewage sludge [15,23].…”

Section: Introductionmentioning

confidence: 99%

Speciation Characteristics and Ecological Risk Assessment of Heavy Metals in Municipal Sludge of Huainan, China

You

Yan³

et al. 2021

Molecules

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In order to fully understand the morphological characteristics and pollution status of heavy metals in the dewatered sludge of Huainan Municipal sewage treatment plant, the physical and chemical properties were analyzed, and the content and occurrence forms of heavy metals (As, Cu, Zn, Pb, Cd, Cr, and Ni) in the sludge were studied using the geological accumulation method (Igeo), risk assessment coding method (RAC), and potential ecological risk index method to evaluate the ecological risk. The results showed that the municipal sludge in Huainan was rich in nutrients, with good prospects for agricultural utilization. There were differences in the morphological distributions of different heavy metals. The Igeo values for Ni, As, Cr, and Pb were below 0. The results of RAC indicated that the risk level of Cr in sludge was a low risk, and those of other heavy metals were moderate risks. The potential ecological risk of Cd had the highest potential ecological risk, and the other six metals were of low ecological risk. This conclusion can provide basic data and a theoretical reference for the comprehensive utilization of sludge in sewage treatment plants.

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“…The Spearman correlation coefficients among trace metal/ metalloids and those between metals and physiochemical parameters in the sediment system are illustrated in Table S5. These relationships could be applied to determine PTEs sources (Ji et al 2019b;Xiao et al 2019). Also, the mobility and bioavailability of heavy metals in sediments could be affected by sediment properties like organic matter, particle composition, EC and pH (Gao et al 2016).…”

Section: Correlation Analysismentioning

confidence: 99%

Eutrophication and sediment–water exchange of total petroleum hydrocarbons and heavy metals of Hashilan wetland, a national heritage in NW Iran

Abbasi

Fakhradini

Jaafarzadeh

et al. 2021

Environ Sci Pollut Res

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The heavy metal(loid)s concentrations in water and sediments were analyzed in the Hashilan wetland to assess the spatial distribution, pollution status, fate, partitioning, and ecological risk and also to identify the heavy metal(loid)s sources in sediments using PMF (Positive Matrix Factorization) and APCs-MLR (absolute principal component score-multiple linear regression) receptor models. According to the pollution indices, (Ni, Cu, Cr, Mo), and (Zn, Cr, and Cu) are considered the most important pollutants in sediments and water, respectively. Ni, Cr, and Cu are the main contributors to ecological risks in sediments of some stations. The potential ecological risk assessment proposed low ecological risk in water of the study area. Higher distribution coefficient (Kp) values of Ni, Cr, Mn, Cu, Co, Pb, As, and Zn indicated the majority of these heavy metals present in the sediments; whereas, the majority of Cd concentration occurs in water. PMF and APCs-MLR results indicated the natural sources were the main factors affecting the concentrations of Ni, Cr, Zn, Al, Co, Fe, Pb, As, Cd and somewhat Cu. Mixed natural and agricultural activities are the main sources of Mo, and somewhat Cu. According to the results, there is low pollution of TPH (total petroleum hydrocarbons) in the sediment samples. Also, phosphate (PO42−) and nitrate (NO3−) concentrations were below the recommended permissible limits at all sampling sites except the S8 station for NO3−.

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Fraction spatial distributions and ecological risk assessment of heavy metals in the sediments of Baiyangdian Lake

Cited by 80 publications

References 46 publications

A comprehensive analysis and source apportionment of metals in riverine sediments of a rural-urban watershed

A comprehensive analysis and source apportionment of metals in riverine sediments of a rural-urban watershed

Speciation Characteristics and Ecological Risk Assessment of Heavy Metals in Municipal Sludge of Huainan, China

Eutrophication and sediment–water exchange of total petroleum hydrocarbons and heavy metals of Hashilan wetland, a national heritage in NW Iran

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