2016
DOI: 10.1016/j.marpolbul.2016.05.020
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Distribution and contamination assessment of heavy metals in surface sediments of the Luanhe River Estuary, northwest of the Bohai Sea

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Cited by 110 publications
(44 citation statements)
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“…There were 54.5% and 31.8% sampling sites with the concentrations of Cr and Cu varying Class 1 and Class 2. According to the TEL and PEL, the adverse biological effect cannot occur when the concentrations of heavy metals are below the TEL, but it may emerge if the values reach the PEL [28,57]. Our results showed that the concentrations of Cd, Cr, Cu, Ni, Pb, and Zn in the sediments below the TEL accounted for 100%, 18.2%, 4.6%, 0%, 100%, and 9.1% of the total sampling sites, respectively.…”
Section: Contamination Assessment Of Heavymentioning
confidence: 67%
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“…There were 54.5% and 31.8% sampling sites with the concentrations of Cr and Cu varying Class 1 and Class 2. According to the TEL and PEL, the adverse biological effect cannot occur when the concentrations of heavy metals are below the TEL, but it may emerge if the values reach the PEL [28,57]. Our results showed that the concentrations of Cd, Cr, Cu, Ni, Pb, and Zn in the sediments below the TEL accounted for 100%, 18.2%, 4.6%, 0%, 100%, and 9.1% of the total sampling sites, respectively.…”
Section: Contamination Assessment Of Heavymentioning
confidence: 67%
“…In addition, 59.1% of the sampling sites showed the Ni concentrations exceeding the TEL (Table 4). The EF > 1.5 commonly indicates a marked enrichment of heavy metals in the sediments [1,28]. As shown in Table 4, the EF of Cd were higher than 2.5 with the average of 3.44 suggesting a clear contamination in the sediments, whereas the sediments were not contaminated by Cu with its EF of 0.75-1.46.…”
Section: Contamination Assessment Of Heavymentioning
confidence: 88%
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“…Multivariate statistical methods have been widely applied to investigate the concentrations, accumulation, and distribution of trace elements in water, soils, and suspended and bottom sediments [1,29,32,[41][42]. The multivariate statistical approach is used to identify the sources of heavy metals [11,31,[43][44][45][46][47][48][49]. CA, PCA, and FA have been frequently applied to explore the relationship between constituents andto identify the geochemical behavior and spatial variability between sites [1,31,45].…”
mentioning
confidence: 99%