Assessment of heavy metals contamination in sediments from three adjacent regions of the Yellow River using metal chemical fractions and multivariate analysis techniques

Ma, Xiao; Zuo, Hang; Tian, Mengjing; Zhang, Jintao; Meng, Jia; Zhou, Xuening; Min, Na; Chang, Xinyuan; Liu, Ying

doi:10.1016/j.chemosphere.2015.08.026

Cited by 352 publications

(122 citation statements)

References 53 publications

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“…The large quantity of these elements in this fraction shows that they are linked to the crystalline network of the secondary minerals and are not easily remobilized to the aquatic environment. 13,19,28,[45][46][47] Figure 3 also shows that there was a modification in the fractionation profile of trace elements (S11 to S13) after the Mariana environmental accident with deposition of the mud layer (S11a to S13a). Modification in the fractionation profile can be better observed in Table 3, where the average values between sampling points are presented for the concentration of each element in the different sediment fractions.…”

Section: Total Trace Elementsmentioning

confidence: 99%

“…17,19,45 Furthermore, Cu is commonly found to be strongly bound to organic matter, due to the high stability constant of organic copper compounds. 28 The largest quantities of As found in the oxidizable fraction (F3) of the sediments at sampling sites S6 and S7 (Figure 3) may be related to contribution of the oxidative dissolution of arsenic-rich sulfide minerals from the Passagem Mine (municipality of Mariana ), the oldest and most important gold mine in the region located upstream of S6 and S7. 10,11 The residual fraction (R) corresponds to As and metals occluded in non-silicated minerals extracted during the final step of the BCR method by means of digestion with aqua regia.…”

Section: Total Trace Elementsmentioning

confidence: 99%

“…The results showed the contribution of anthropogenic sources on the mobility and toxicity of trace metals by means of the Cd, Cr, Cu, Ni, Pb and Zn fractionations present in the sediments. Ma et al 28 also applied the BCR sequential extraction method to evaluate the polutions levels of Cr, Pb, Cd, Co, Cu, Zn and Ni metals in sediment samples of the Yellow River (China). The results showed high availability of Cd and Co due to their high concentrations in the available fractions of the sediments.…”

Section: Introductionmentioning

confidence: 99%

“…11 A series of reagents is applied to the sample, increasing the extraction force in each stage in order to dissolve the metals present in different phases of the sediments. 28 The advantage of using the BCR sequential extraction method is the provision of detailed information on the origin, mode of occurrence, physical-chemical and biological availability, mobilization and transport of trace metals. 17,20,28,29,30 Passos et al 19 applied the BCR method in sediments collected along the Poxim River, in the Brazilian state of Sergipe.…”

Section: Introductionmentioning

confidence: 99%

“…28 The advantage of using the BCR sequential extraction method is the provision of detailed information on the origin, mode of occurrence, physical-chemical and biological availability, mobilization and transport of trace metals. 17,20,28,29,30 Passos et al 19 applied the BCR method in sediments collected along the Poxim River, in the Brazilian state of Sergipe. The results showed the contribution of anthropogenic sources on the mobility and toxicity of trace metals by means of the Cd, Cr, Cu, Ni, Pb and Zn fractionations present in the sediments.…”

Section: Introductionmentioning

confidence: 99%

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Trace Elements in River Waters and Sediments Before and After a Mining Dam Breach (Bento Rodrigues, Brazil)

Silva¹,

Bellato²,

Neto³

et al. 2018

Quim. Nova

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, the Fundão dam ruptured which caused the spill of a large quantity of tailings from the extraction of iron ores to the Gualaxo do Norte, Carmo and Doce Rivers. Seven months prior to the rupture, our group had collected water and sediment samples at 13 points along the Tripuí Creek and the entire length of the Carmo River. Six months after deposition of the mud, new samples were collected in the Carmo River. Thus, the present study sought to evaluate the concentrations of trace elements in the waters and their distribution and mobility in sediment by BCR sequential extraction before and after the deposition of the tailings mud. Arsenic concentrations in the water samples were between 10.4 and 50.4 µg L -1 , which exceeded 10 ug L -1 (maximum limit permitted by Brazilian environmental regulations for water destined for human consumption) . The tailing mud layer on the sediments caused concentration increases of As (20%), Cd (13%), Co (5%), Cr (9%), Cu (11%), Ni (4%), Pb (7%) and Zn (19%) in the easily remobilized fractions. The presence of the elements in these fractions was indicative of high ecotoxicological risk and potential harm to the health of the local population.

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Section: Total Trace Elementsmentioning

confidence: 99%

Section: Total Trace Elementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Trace Elements in River Waters and Sediments Before and After a Mining Dam Breach (Bento Rodrigues, Brazil)

Silva¹,

Bellato²,

Neto³

et al. 2018

Quim. Nova

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Trace Metals in Soils

Nomngongo

Matong

Munonde

2018

Recent Advances in Trace Elements

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Quantitative reconstruction of Holocene sediment sources contributing to the central Jiangsu coast, China: New insights into source‐to‐sink processes

Yang

Jia

Zhou

et al. 2020

Earth Surf Processes Landf

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Coastal deltaic deposits are the primary locations for sediment storage on Earth, and quantifying their source contributions is a critical prerequisite for delineating S2S patterns in marginal seas. In most cases, quantification for the contribution by fine‐grained sediments (i.e. particle size < 63 μm) is considered to be representative to constrain the overall sediment supply. However, this approach may be inappropriate because large differences exist between the two quantities. Here we propose an approach to solve the problem, which is based on the maximum number of tracers from multiple sediment size fractions incorporating the content of all size fractions of sediment. Using this approach, absolute source contributions during the Holocene are reconstructed that provide a first‐order model for the S2S pattern of the central Jiangsu coast, China. The Huanghe River is the strongest driver for the Holocene sedimentation, with a mean contribution of ~72 ± 6% (1417 × 108 t). The absolute contributions from the Changjiang and offshore areas were of secondary importance, (i.e. ~17 ± 1% (330 × 108 t) and ~11 ± 5% (217 × 108 t), respectively). The results show that a large difference between the relative and absolute source contributions and the assumption that the relative contribution represents the absolute contribution is invalid in a coastal setting. The impact of the Huanghe is mainly based on episodic events, such as the event of 1128–1855 AD. The model also reveals that the offshore sediments are as important as the Changjiang sediments for the central Jiangsu coast during the Holocene. Thus, the model provides both the time series and overall quantities of sediment supply during the formation and evolution of the Holocene tidal flats on the Jiangsu coast. Our findings shed new light on quantitative analysis of sediment sources applicable to future S2S studies of marginal seas. © 2020 John Wiley & Sons, Ltd.

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Assessment of heavy metals contamination in sediments from three adjacent regions of the Yellow River using metal chemical fractions and multivariate analysis techniques

Cited by 352 publications

References 53 publications

Trace Elements in River Waters and Sediments Before and After a Mining Dam Breach (Bento Rodrigues, Brazil)

Trace Elements in River Waters and Sediments Before and After a Mining Dam Breach (Bento Rodrigues, Brazil)

Trace Metals in Soils

Quantitative reconstruction of Holocene sediment sources contributing to the central Jiangsu coast, China: New insights into source‐to‐sink processes

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