Spatial-temporal dynamics, ecological risk assessment, source identification and interactions with internal nutrients release of heavy metals in surface sediments from a large Chinese shallow lake

Rao, K. Bhaskara; Tang, Tao; Zhang, Xiang; Wang, Mo; Liu, Jianfeng; Wu, Bi; Wang, Ping; Ma, Yue

doi:10.1016/j.chemosphere.2021.131041

Cited by 49 publications

(15 citation statements)

References 42 publications

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“…In principal component 2, only Cd, Zn, and Mo have higher loadings (>0.8) this component, and there is a significantly strong correlation between the three elements, indicating that they have similar distribution laws [ 6 ]. The average content of Zn and Mo all exceeded the soil background value in Zhejiang Province, and the coefficient of variation was large.…”

Section: Resultsmentioning

confidence: 99%

“…Natural conditions (weathering of rocks, wet and dry deposition, rainfall-runoff) and human activities (production and domestic sewage, industrial and agricultural sewage, and mining) can lead to the migration and deposition of heavy metals in the river system. When the concentration of heavy metals reaches a threshold, it can lead to malnutrition and even death of aquatic organisms, and also seriously threaten the health of animals and humans [ 5 , 6 ]. Heavy metals are important pollutants in the water environment and the pollution status of a water body can be measured by the concentration status of the pollutants, so understanding the heavy metals in the surface sediments of river systems is essential for water environmental safety assessment.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Distribution, Source Identification, and Potential Ecological Risk Assessment of Heavy Metal in Surface Sediments from River-Reservoir System in the Feiyun River Basin, China

Zhu

Dong

Yang³

et al. 2022

IJERPH

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To investigate the pollution characteristics of the surface sediments of the river–reservoir system in the Feiyun River basin, a sediment heavy metal survey was conducted for the first time in the Feiyun River basin. Surface sediments from 21 sampling sites in the Feiyun River basin were collected, and the concentrations and spatial distribution characteristics of 15 heavy metals (Cr, Ni, Cu, Zn, As, Cd, Pb, Mn, V, Co, Mo, Sb, W, Fe, and Se) were analyzed. Three heavy metal ecological risk assessment methods were used to evaluate the potential risks of heavy metals in sediments, and the sources of major heavy metals were traced by correlation analysis and principal component analysis. The results show that (1) the average concentration of heavy metals (As) (212.64 mg/kg) and (Sb) (4.89 mg/kg) in Feiyun River Basin is 33.3 and 6.89 times the background value of Zhejiang Province; the overall spatial distribution of heavy metals is: the mainstream of Feiyun River > Zhaoshandu Reservoir > Shanxi Reservoir, thereby, the pollution is relatively significant; (2) by processing the geo-accumulation index and enrichment index methods, As and Sb are classified as ‘severely polluted’, ‘moderately severely polluted’ and ‘severely polluted’, ‘very severe polluted’ respectively; (3) the potential ecological index evaluates the surface sediments in the Feiyun River Basin as a very high risk level, the main environmental risk factors are As, Sb, Cd and Mo; (4) the principal component analysis results show that the heavy metals in the sediments of the Feiyun River Basin may be mainly affected by human activities such as sewage from domestic and agricultural activities, mining and smelting, and the others are affected by natural factors.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial Distribution, Source Identification, and Potential Ecological Risk Assessment of Heavy Metal in Surface Sediments from River-Reservoir System in the Feiyun River Basin, China

Zhu

Dong

Yang³

et al. 2022

IJERPH

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“…where (Metal) s is the concentration of metals examined in soil samples and (Metal) h is the geochemical background concentration of the metal. Factor 1.5 is the background matrix correction factor due to lithospheric effects [120,121].…”

Section: Geoaccumulation Index (I Geo )mentioning

confidence: 99%

“…where C i and C 0i are the measured and background concentrations of element i in soil, respectively, while T i is the toxic factor of element i [121,125]. The potential ecological risk criteria were scaled as:…”

Section: Potential Ecological Risk Indexmentioning

confidence: 99%

Soil Pollution and Plant Efficiency Indices for Phytoremediation of Heavy Metal(loid)s: Two-Decade Study (2002–2021)

Kumar

Tripti

Raj

et al. 2022

Metals

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This paper reviews research on phytoremediation (2002–2021), particularly for the estimation of plant efficiency and soil pollution indices, examining the extraction of metals from soil and plants growing under both artificial (spiked with specific metal) and natural conditions. From the analysis of >200 published experimental results, it was found that contamination factor and geo-accumulation index as well as translocation and bioconcentration factors are the most important soil pollution and plant efficiency metrices, respectively, which are gaining importance to assess the level of metal pollution and its transfer from soil to plant to find a better metal clean-up strategy for phytoremediation. To access the metal concentration, it was found that the most widely accepted extractants to dissolve and extract the metals from the soil and plant were HNO3 and HClO4 (mainly in 5:1; v/v or 4:1; v/v), which are used both in natural and artificial metal contamination studies. Moreover, plants such as Pteris vittata, Monochoria korsakowi, Lolium perenne, Festuca rubra, Poa pratensis, Ricinus communis, and Siegesbeckia orientalis can act as hyperaccumulators under both natural and artificial experiments and can be directly implemented into the fields without checking their further efficiency in phytoremediation.

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“…Bivalves were known to feed on suspended particles in the water column which could be contaminated by various contaminants (including heavy metals) derived from either anthropogenic activities or natural emissions (Langston et al, 1998). Sediments are considered contamination reservoirs which can act as sources of metals which may be released to the overlying water column (Lin et al, 2013;Rao et al, 2021). The metal loads present in the sediments have adverse effects on biota when in a bio-available state (Garcia-Ordiales et al, 2019).…”

Section: Mussels and Heavy Metal Residuesmentioning

confidence: 99%

An Investigation on the Heavy Metal Contamination in the Edible Mussels distributed in Kochi Backwaters

2022

MCAES

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Bivalves are known for bioaccumulation of environmental contaminants and hence they can be used as good bioindicators of heavy metal contamination in coastal areas. This ability is due to their sessile lifestyle, resistance to high accumulation of chemicals and ease of sampling. Kochi is a coastal area in the south west of Kerala. Kochi backwaters are part of the Vembanad lake which support a large production of bivalves. The samples for the study were collected from five different locations which are part of Kochi backwaters. Villorita cyprinoides (black clam) and Mytella strigata (an invasive mussel) are the two species used for the study. The analysis of Heavy metals was done with the help of EDXRF spectroscopy and was carried out in BARC. The study revealed the presence of four heavy metals (As, Pb, Zn, Cd) in both M. strigata and V. cyprinoides. The concentration of heavy metals is more prominent in M. strigata than V. cyprinoides. The results of this study enabled to conclude that both V. cyprinoides and M. strigata possess the ability for bioaccumulation of heavy metals from the surrounding. It is found that the heavy metal concentrations are above the safe limits which indicate that bivalves from the Kochi backwaters are not safe and suitable for consumption. Prolonged exposure may result in health issues in humans.

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Spatial-temporal dynamics, ecological risk assessment, source identification and interactions with internal nutrients release of heavy metals in surface sediments from a large Chinese shallow lake

Cited by 49 publications

References 42 publications

Spatial Distribution, Source Identification, and Potential Ecological Risk Assessment of Heavy Metal in Surface Sediments from River-Reservoir System in the Feiyun River Basin, China

Spatial Distribution, Source Identification, and Potential Ecological Risk Assessment of Heavy Metal in Surface Sediments from River-Reservoir System in the Feiyun River Basin, China

Soil Pollution and Plant Efficiency Indices for Phytoremediation of Heavy Metal(loid)s: Two-Decade Study (2002–2021)

An Investigation on the Heavy Metal Contamination in the Edible Mussels distributed in Kochi Backwaters

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