Multi-index assessment of heavy metal contamination in surface sediments of the Pearl River estuary intertidal zone

Liang, Rui-Ze; Gu, Yang-Guang; Li, Haisong; Han, Yan-Jie; Niu, Jie; Su, Hong; Jordan, Richard W.; Man, Xiang-Tian; Jiang, Shijun

doi:10.1016/j.marpolbul.2022.114445

Cited by 27 publications

(8 citation statements)

References 57 publications

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“…A number of different methods including river pollution index (RPI), RI, Igeo, TU, EF, SQGs, and PLI were applied in this study to determine risk and contamination levels in sediment and river water environments (Arisekar, Shakila, Shalini, Jeyasekaran, Keerthana, et al, 2022; Cyriac et al, 2021; Li, Quan, et al, 2020; Zhai et al, 2020). The classification criteria of these applied indices are described in Li, Quan, et al (2020), Cyriac et al (2021), Arisekar, Shakila, Shalini, Jeyasekaran, Keerthana, et al (2022), and Liang et al (2023).…”

Section: Methodsmentioning

confidence: 99%

“…Igeo is established to evaluate the effects of human activities on heavy‐metal contamination in sediments, and it can be defined via the following equation (Liang et al, 2023):

\mathrm{Igeo}={\log}_2\ \left({C}_i/1.5\ {B}_n\right)

where C i represents the element concentration in enriched samples and the B n represents the element background value (Hg: 0.4 mg/kg; Pb: 20 mg/kg; Cd: 0.3 mg/kg; Cr: 90 mg/kg; As: 13 mg/kg; Cu: 45 mg/kg; Zn: 95 mg/kg; and Ni: 68 mg/kg) (Liang et al, 2023). Factor 1.5 is used to reduce the possible influence of variation on the background values, which could be caused by the natural lithological processes.…”

Section: Methodsmentioning

confidence: 99%

“…Igeo is established to evaluate the effects of human activities on heavy-metal contamination in sediments, and it can be defined via the following equation (Liang et al, 2023):…”

Section: Igeomentioning

confidence: 99%

“…where C i represents the element concentration in enriched samples and the B n represents the element background value (Hg: 0.4 mg/kg; Pb: 20 mg/kg; Cd: 0.3 mg/kg; Cr: 90 mg/kg; As: 13 mg/kg; Cu: 45 mg/kg; Zn: 95 mg/kg; and Ni: 68 mg/kg) (Liang et al, 2023). Factor 1.5 is used to reduce the possible influence of variation on the background values, which could be caused by the natural lithological processes.…”

Section: Igeomentioning

confidence: 99%

“…Different pollution indices have been developed to evaluate the ecological and toxicological risk levels of heavy‐metal‐polluted sediments (Malav et al, 2023; Wang et al, 2019). These developed indices have their own specific theories and formula for risk level determination and metal enrichment quantification (low or high pollution range) (Liang et al, 2023; Wang et al, 2019), and these applied methods include toxic units (TU), geo‐accumulation index (Igeo), enrichment factor (EF), sediment quality guidelines (SQGs), potential ecological risk index (RI), and pollution load index (PLI) (Liang et al, 2023; Malav et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

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Toxicity evaluation of a heavy‐metal‐polluted river: Pollution identification and bacterial community assessment

Verpoort

et al. 2023

Water Environment Research

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The Salt River is an important urban river in Kaohsiung, Taiwan. In this study, the source identification and risk and toxicity assessment of the heavymetal-contaminated sediments in the Salt River were investigated. The geo-accumulation index (Igeo), enrichment factor (EF), sediment quality guidelines (SQGs), potential ecological risk index (RI), pollution load index (PLI), and toxic units (TU) were applied to determine effects of heavy metals on microbial diversities and ecosystems. Results from the ecological and environmental risk assessment show that high concentrations of Zn, Cr, and Ni were detected in the midstream area and the sum of toxic units (ΣTUs) in the midstream (7.2-32.0) is higher than in the downstream (14.0-19.7) and upstream (9.2-17.1). It could be because of the continuous inputs of heavymetal-contained wastewaters from adjacent industrial parks. Results also inferred that the detected heavy metals in the upstream residential and commercial areas were possibly caused by nearby vehicle emissions, non-point source pollution, and domestic wastewater discharges. Results of metagenomic assays show that the sediments contained significant microbial diversities.Metal-tolerant bacterial phyla (Proteobacteria: 24.4%-46.4%, Bacteroidetes:1.3%-14.8%, and Actinobacteria: 2.3%-11.1%) and pathogenic bacterial phyla (Chlamydiae: 0.5%-37.6% and Chloroflexi: 5.8%-7.2%) with relatively high abundance were detected. Metal-tolerant bacteria would adsorb metals and cause the increased metal concentrations in sediments. Results indicate that the bacterial composition in sediment environments was affected by anthropogenic pollution and human activities and the heavy-metal-polluted ecosystem caused the variations in bacterial communities.

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Section: Methodsmentioning

confidence: 99%

“…Igeo is established to evaluate the effects of human activities on heavy‐metal contamination in sediments, and it can be defined via the following equation (Liang et al, 2023):

\mathrm{Igeo}={\log}_2\ \left({C}_i/1.5\ {B}_n\right)

Section: Methodsmentioning

confidence: 99%

“…Igeo is established to evaluate the effects of human activities on heavy-metal contamination in sediments, and it can be defined via the following equation (Liang et al, 2023):…”

Section: Igeomentioning

confidence: 99%

Section: Igeomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Toxicity evaluation of a heavy‐metal‐polluted river: Pollution identification and bacterial community assessment

Verpoort

et al. 2023

Water Environment Research

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Influence of environmental factors on changes in the speciation of Pb and Cr in sediments of Wuliangsuhai Lake, during the ice-covered period

Zhao,

Shi

et al. 2024

Environ Geochem Health

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Ecological pollution caused by heavy metals released by sediments is a worldwide concern. However, the effect of changes in sediment speciation on their release of heavy metals has not been adequately reported. This study analysed changes in the sediment speciation of Pb and Cr before and after a release experiment by varying the temperature, pH, and salinity of the water column. The results show that the release of Pb and Cr from sediments increases with increasing water temperature, mainly due to the conversion of the residual fraction of Pb to the Fe-Mn oxide fraction and Cr converting more residual fraction to the organic matter and sul de fraction. The release of sediment Pb and Cr decreased with increasing pH, with Pb converting more acid extractable fraction to the residual fraction and Cr converting more organic matter and sul de fraction to the residual fraction. In contrast, the release of Pb and Cr increased and then decreased with increasing salinity, with the acid extractable and residual fractions of Pb interconverting, and the organic matter and sul de fraction and the residual fraction of Cr showing higher interconversion. For Pb, the acid extractable fraction was more susceptible to conversion to the residual fraction by environmental in uences, whereas for Cr, the organic matter and sul de fraction was susceptible to conversion to the residual fraction. This study highlights the in uence of environmental factors on the sediment speciation of heavy metals, which can help reveal the transport and transformation of heavy metals in cold and arid lake sediments.

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Distribution, sources, and risk analysis of heavy metals in sediments of Xiaoqing River basin, Shandong province, China

Fang,

Hua

et al. 2023

Environ Sci Pollut Res

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Multi-index assessment of heavy metal contamination in surface sediments of the Pearl River estuary intertidal zone

Cited by 27 publications

References 57 publications

Toxicity evaluation of a heavy‐metal‐polluted river: Pollution identification and bacterial community assessment

Toxicity evaluation of a heavy‐metal‐polluted river: Pollution identification and bacterial community assessment

Influence of environmental factors on changes in the speciation of Pb and Cr in sediments of Wuliangsuhai Lake, during the ice-covered period

Distribution, sources, and risk analysis of heavy metals in sediments of Xiaoqing River basin, Shandong province, China

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