2016
DOI: 10.1007/s11356-016-7712-z
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Heavy metals in the riverbed surface sediment of the Yellow River, China

Abstract: One hundred and eleven riverbed surface sediment (RSS) samples were collected to determine the heavy metal concentration throughout the Inner Mongolia reach of the Yellow River (IMYR), which has been subjected to rapid economic and industrial development over the past several decades. Comprehensive analysis of heavy metal contamination, including the enrichment factor, geo-accumulation index, contamination factor, pollution load index, risk index, principal component analysis (PCA), hierarchical cluster analys… Show more

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Cited by 22 publications
(9 citation statements)
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“…In the Bacanuchi River, the minimum and maximum metal concentrations were (mg/kg): Cd and Pb (BDL), Cr (BDL-2), Cu (1-13), Fe (127-245), Mn (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22), Ni (BDL-7), and Zn (3)(4)(5)(6)(7)(8)(9)(10)(11)(12). Metal mobility was as follows: Ni > Zn > Cr = Cu.…”
Section: Distribution Of Heavy Metals In Sedimentsmentioning
confidence: 99%
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“…In the Bacanuchi River, the minimum and maximum metal concentrations were (mg/kg): Cd and Pb (BDL), Cr (BDL-2), Cu (1-13), Fe (127-245), Mn (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22), Ni (BDL-7), and Zn (3)(4)(5)(6)(7)(8)(9)(10)(11)(12). Metal mobility was as follows: Ni > Zn > Cr = Cu.…”
Section: Distribution Of Heavy Metals In Sedimentsmentioning
confidence: 99%
“…Heavy metals are introduced to aquatic environments naturally (soil and rock leaching and volcanic eruptions) but also anthropogenically (agricultural, industrial, and mining activities) 2 . When these pollutants are released into the environment, they enter the atmosphere, undergo hydrological circulation, and are finally deposited in riverbeds, reservoirs, and river deltas 3 . Naturally, sediments absorb a wide variety of pollutants, such as heavy metals, in their structure and surface.…”
Section: Introductionmentioning
confidence: 99%
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“…PCA is a data reduction technique that reduces number of variables to a smaller set of scores called components without losing much of primary data [15]. Varimax rotation was employed in current analysis since variables were presumed to be uncorrelated [33].…”
Section: Principal Component Analysis (Pca)mentioning
confidence: 99%
“…where metal is entirely crystallized in the sediment while the higher FE values to 1.5 or 2 suggest anthropogenic sources (Garcia et al, 2008;Abreu et al, 2016). According to the EF of an element, Loska et al (2004) and Guan et al (2016) classified the enrichment factor (EF) into five levels: no or slight enrichment (EF < 2), moderate enrichment (2 ≤ EF < 5), significant enrichment (5 ≤ EF < 20), high enrichment (20 ≤ EF < 40) and extremely high enrichment (EF > 40). (2 < Igeo ≤ 3), moderately contaminated to strongly contaminated; Class 4 (3 < Igeo ≤ 4), strongly contaminated; Class 5 (4 < Igeo ≤ 5), strongly contaminated to extremely contaminated; and Class 6 (Igeo > 5), extremely contaminated (Müller, 1979;Ji et al, 2015;Dai et al, 2018;Liu et al, 2021).…”
Section: Enrichment Factor (Ef)mentioning
confidence: 99%