Spatial distribution and ecological risk assessment of heavy metals in surface sediments from a typical plateau lake wetland, China

Bai, Junhong; Cui, Baoshan; Chen, Bin; Zhang, Kejiang; Deng, Wei; Gao, Haifeng; Xiao, Rong

doi:10.1016/j.ecolmodel.2009.12.002

Cited by 310 publications

(139 citation statements)

References 23 publications

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“…The As accumulation was higher in shoot than in the root, implying that a considerable amount of As was translocated to the aerial plant parts. A similar observation was also previously reported [5,11,[50][51][52][53][54][55][56][57][58][59][60][61].…”

Section: Discussionsupporting

confidence: 78%

“…Moreover, the inhibition of biomass accumulation may also result from inhibition of cell division resulting in the decline in growth [45]. At higher As concentrations it might be due to the reduced enzyme activity [46][47][48] and/or the As-induced oxidative stress [39,48].We have also been observed in our earlier studies, as influenced by heavy metals induced oxidative stress in Indian mustard by modulation of antioxidant enzymes [49][50][51][52][53][54][55][56][57].…”

Section: Discussionsupporting

confidence: 49%

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Screening Indian Mustard Genotypes for Phytoremediating Arsenic‐Contaminated Soils

Ansari

Shao

Umar

et al. 2012

CLEAN Soil Air Water

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Ten Indian mustard (Brassica juncea L.) genotypes were screened for their phytoremediation potential for arsenic (As) contaminated water under laboratory-controlled conditions. The genotypes were grown in a hydroponic chamber for 20 days in 250-mL beakers containing As-contaminated water. During plant development, changes in plant growth, biomass, and total As were evaluated. Of the 10 genotypes (Pusa Agrani, BTO, Pusa Kranti, Pusa Bahar, Pusa Bold, Pusa Basant, Pusa Jai Kisan, Arka Vardhan, Varuna, and Vaibhav) Pusa Jai Kisan was the most effective in phytoremediating Ascontaminated water under hydroponic conditions. This will provide new information for Indian mustard genotypes for phytoremediating As-contaminated soils.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionsupporting

confidence: 49%

Screening Indian Mustard Genotypes for Phytoremediating Arsenic‐Contaminated Soils

Ansari

Shao

Umar

et al. 2012

CLEAN Soil Air Water

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“…Heavy metals in sediments are controlled by innumerable factors that include the concentration of metals in rocks at the time of formation of sediments and anthropogenic sources of pollution [38][39][40][41][42]. The results of Pearson's correlation coefficients and their significance levels (P<0.01 and P<0.05) are shown in Table 2 .01) in Namal Lake sediments indicates that these metals originated from the same sources or were distributed in the surface by the same physico-chemical processes [43][44]. The higher correlation between Al and Cu is probably due to having the same source along with their chemical affinity.…”

Section: Pearson's Correlation Coefficient Analysismentioning

confidence: 99%

Heavy Metals Contamination and Ecological Risk Assessment in Surface Sediments of Namal Lake, Pakistan

Javed¹,

Ahmad²,

Mashiatullah³

2018

Pol. J. Environ. Stud.

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Heavy metals pollution is a worldwide problem that has grown during the past few decades because of their toxicity, extensive sources, non-biodegradable characteristics, and accumulative behaviors in aquatic environments [1][2][3]. These metals are identified as a significant indicator for degradation of aquatic environments. Enormous quantities of metals are being released into the environment both from anthropogenicrelated processes and natural sources through direct discharge into water or indirectly through stormwater runoff, domestic effluents, fossil fuel combustion, and atmospheric depositions [4]. Heavy metals ultimately Pol. J. Environ. Stud. Vol. 27, No. 2 (2018), 675-688 Original Research Heavy Metals Contamination and Ecological Risk AbstractHeavy metal concentrations were determined using inductively coupled plasma-optical emission spectrometry (ICP-OES) in surface sediments of Namal Lake, Pakistan. The metals content in sediment varied significantly and were in the order of Al>Fe>Mn>V>Zn>Cr>Ni>Cu>As>Co>Pb>Cd. Except for Al, the average concentrations of metals were higher than the average value of the upper continental crust (UCC). The significant positive correlations among heavy metals (p<0.01) suggested that these metals originated from the same sources. The pollution indices indicated severe contamination of sediments with As, Cd, and Ni. The sediment quality guidelines (SQGs) revealed that 19.2% of As, 11.5% of Cr, and 88.5% of Ni from all the sampling sites exceeded the probable effect level (PEL). The computed average risk index (RI) of single elements were in the following order Cd(411.9)>As(69.0)>Ni(15.4)>Cu(10.0)>Cr(4.3)> Pb(3.66)>Zn(1.7). Principle component analysis (PCA) extracted three components explaining (76.136%) of total variance of chemical data and were highly to moderately loaded with Fe, Mn, Co, Cu, Zn, Al, As, Cd, Ni, V, Cr, TOC, pH, CaCO 3 , and Pb in three principal components (PCs). The results obtained from cluster analysis, correlation of heavy metals, and principal component analysis suggested the origin of metals from both anthropogenic and natural sources.

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“…The ecological risk that is posed by heavy metals has been assessed based on different quality standards (Liu et al 2010;Bai et al 2011c;Nazeer et al 2014). Its objective is to assess the possibility and degree that the chemicals (in a specified amount) and physical factors affect humans, animals, and plants or ecosystems (Zhang et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Contamination assessment of arsenic and heavy metals in a typical abandoned estuary wetland—a case study of the Yellow River Delta Natural Reserve

Xie

Sun

Zhang

et al. 2014

Environ Monit Assess

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Coastal and estuarine areas are often polluted by heavy metals that result from industrial production and agricultural activities. In this study, we investigated the concentration trait and vertical pattern of trace elements, such as As, Cd, Ni, Zn, Pb, Cu, and Cr, and the relationship between those trace elements and the soil properties in coastal wetlands using 28 profiles that were surveyed across the Diaokouhe Nature Reserve (DKHNR). The goal of this study is to investigate profile distribution characteristics of heavy metals in different wetland types and their variations with the soil depth to assess heavy metal pollution using pollution indices and to identify the pollution sources using multivariate analysis and sediment quality guidelines. Principal component analysis, cluster analysis, and pollution level indices were applied to evaluate the contamination conditions due to wetland degradation. The findings indicated that the concentration of trace elements decreased with the soil depth, while Cd increases with soil depth. The As concentrations in reed swamps and Suaeda heteroptera surface layers were slightly higher than those in other land use types. All six heavy metals, i.e., Ni, Cu, As, Zn, Cr, and Pb, were strongly associated with PC1 (positive loading) and could reflect the contribution of natural geological sources of metals into the coastal sediments. PC2 is highly associated with Cd and could represent anthropogenic sources of metal pollution. Most of the heavy metals exhibited significant positive correlations with total concentrations; however, no significant correlations were observed between them and the soil salt and soil organic carbon. Soil organic carbon exhibited a positive linear relationship with Cu, Pb, and Zn in the first soil layer (0-20 cm); As, Cr, Cu, Ni, Pb, and Zn in the second layer (20-40 cm); and As, Cr, Cu, Ni, Pb, and Zn in the third layer (40-60 cm). Soil organic carbon exhibited only a negative correlation with Cd (P<0.05), in the second and third layers. As, Cr, Cu, Ni, Pb, and Zn exhibited lower geoaccumulation index values (I geo values), which averaged less than 0 in the three soil layers, this finding indicates that the soils have remained unpolluted by these heavy metals. The mean concentrations of these trace elements were lower than Class I criteria. The degradation wetland restoration suggestions have also been provided in such a way as to restore the reserved flow path of the Yellow River. The results that are associated with trace element contamination would be helpful in providing scientific directions to restore wetlands across the world.

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Spatial distribution and ecological risk assessment of heavy metals in surface sediments from a typical plateau lake wetland, China

Cited by 310 publications

References 23 publications

Screening Indian Mustard Genotypes for Phytoremediating Arsenic‐Contaminated Soils

Screening Indian Mustard Genotypes for Phytoremediating Arsenic‐Contaminated Soils

Heavy Metals Contamination and Ecological Risk Assessment in Surface Sediments of Namal Lake, Pakistan

Contamination assessment of arsenic and heavy metals in a typical abandoned estuary wetland—a case study of the Yellow River Delta Natural Reserve

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