Ecological Risk Assessment of Heavy Metals in the Vicinity of Tungsten Mining Areas, Southern Jiangxi Province

Zheng, Xiao-Jun; Chen, Ming; Wang, Junfeng; Li, Feng-guo; Liu, Yan; Liu, You-Cun

doi:10.1080/15320383.2020.1763912

Cited by 30 publications

(20 citation statements)

References 33 publications

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“…As seen in Fig. 1a for Soil A, the distribution of W, C, and Fe is strongly correlated, which indicates a significant role of organic material and Fe compounds in the soil оn the geochemical behavior of W. Similar behavior of W in soils has been reported for tungsten mining areas in China (Zheng et al, 2020). Tungsten has a distinctly negative correlation with Si and K. XRD analysis of soils and sediments shows very close phase composition dominated by quartz, K-feldspar (microcline) and plagioclase.…”

Section: Resultssupporting

confidence: 73%

“…In the two studied soil profiles in the floodplain of the Grantcharitsa River, we found two different distributions of W: a distinct zonal distribution with an increase in the W content up to 71 ppm in the topsoil (Soil A) and an almost uniform distribution of W with a slight variation within 7.7-17.4 ppm (Soil B). The increased W content in the topsoil is well known for tungsten mining areas in China (Zheng et al, 2020) and is attributed to the airborne transport of W-con-taining dust particles. This mechanism of increasing the W content could hardly be applied to the studied soils, as there are no mining activities in the Grantcharitsa deposit.…”

Section: Discussionmentioning

confidence: 96%

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Modes of occurrence of tungsten in alluvial soils and river sediments in the area of the Grantcharitsa tungsten deposit, Western Rhodopes, Bulgaria

Tarassov¹,

Tarassova²,

Stavrev³

et al. 2021

Rev. Bulg. Geol. Soc.

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A distinct increase in the concentration of W in the topsoil (from 19–20 to 71 ppm) is found in the vertical profile of the alluvial soil at the Grantcharitsa deposit. The distribution of W, Fe, and C is well correlated, which indicates a significant role of organic material and iron oxides/hydroxides formed in the soil in the chemical behavior of W. The role in these processes of scheelite, W-containing goethite and rutile identified in the soil is insignificant.

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Section: Resultssupporting

confidence: 73%

Section: Discussionmentioning

confidence: 96%

Modes of occurrence of tungsten in alluvial soils and river sediments in the area of the Grantcharitsa tungsten deposit, Western Rhodopes, Bulgaria

Tarassov¹,

Tarassova²,

Stavrev³

et al. 2021

Rev. Bulg. Geol. Soc.

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“…Currently, Hakanson's potential ecological risk index method (Hakanson 1980) is predominantly used in ecological risk assessments, but, in order to use it correctly in assessments, the potential ecological risk coefficient (E) and potential ecological risk index (RI) grading standards must be adjusted according to the specific types and quantities of pollutants involved in the assessment (Ma et al 2020). However, existing studies mostly follow Hakanson's grading standard directly, that is, without any adjustments to (E) and (RI) (Workineh et al 2018;Zheng et al 2020), thus affecting the reliability of the evaluation results. In this study, the necessary adjustments are made.…”

Section: Introductionmentioning

confidence: 99%

Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments From the Huafei River in the Eastern Suburbs of Kaifeng, China

Jin

Wang

Lou

et al. 2021

Preprint

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Rivers in urban environments are significant components of their ecosystems, but remain under threat of pollution from unchecked discharges of industrial sewage and domestic waste water. Such river pollution, particularly over the longer term involving heavy metals, is an issue of worldwide concern regarding risks to the ecological environment and human health. In this study, we investigate the long-term pollution characteristics of the Huafei River, an important urban river in Kaifeng, China. River sedimentary samples were analyzed, assessing the degree and ecological risk of heavy metal pollution using the geo-accumulation index and potential ecological risk index methods; whilst Pearson’s correlation, principal component, and cluster analyses were used to identify the sources of pollution. The results show that heavy metal concentrations are significantly higher than their corresponding fluvo-aquic soil background values in China, and the geo-accumulation indexes indicate that of the 8 heavy metals identified, Hg is most prevalent, followed in sequence by Cd>Zn>Cu>Pb>Ni>As>Cr. The potential ecological risk index of the Huafei river is extremely strong, with the potential ecological risk intensity highest in the midstream and downstream sections where it is recommended that pollution control is carried out, especially concerning Hg and Cd. Long-term sequence analysis indicates that Cu and Pb dropped sharply from 1998 to 2017, but rebounded in 2019, and that Zn shows a continuous decreasing trend. Four main sources for the heavy metal contaminants were identified: Cr, Cu, Ni, Pb, Zn and Hg derived mainly from industrial activities, traffic sources and natural sources; Cd originated mainly from industrial and agricultural activities; whilst As was mainly associated with industrial activities. It is anticipated that the findings of this study will provide theoretical references for the effective control and scientific management of heavy metal pollution in Huafei River and its surrounding areas.

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“…Currently, Hakanson's potential ecological risk index method 16 is predominantly used in ecological risk assessments, although, in order to use it correctly in assessments, the potential ecological risk coefficient (E) and potential ecological risk index (RI) grading standards must be adjusted according to the specific types and quantities of pollutants involved in the assessment 17 . However, existing studies mostly follow Hakanson's grading standard directly, that is, without any adjustments to (E) and (RI) 18,19 , thus affecting the reliability of the evaluation results. Nevertheless, despite established practice, our study included all necessary adjustments.…”

Section: Introductionmentioning

confidence: 99%

Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments from the Huafei River in the Eastern Suburbso Kaifeng, China

Jin

Wang

Lou

et al. 2021

Preprint

View full text Add to dashboard Cite

Rivers in urban environments are significant components of their ecosystems but remain under threat of pollution from unchecked discharges of industrial sewage and domestic wastewater. Such river pollution, particularly over the longer term involving heavy metals, is an issue of worldwide concern regarding risks to the ecological environment and human health. In this study, we investigate the long-term pollution characteristics of the Huafei River, an important urban river in Kaifeng, China. River sedimentary samples were analyzed, assessing the degree and ecological risk of heavy metal pollution using the geo-accumulation index and potential ecological risk index methods; whilst Pearson’s correlation, principal component, and cluster analyses were used to identify the sources of pollution. The results show that heavy metal concentrations are significantly higher than their corresponding fluvo-aquic soil background values in China, and the geo-accumulation indexes indicate, that of the 8 heavy metals identified, Hg is most prevalent, followed in sequence by Cd > Zn > Cu > Pb > Ni > As > Cr. The potential ecological risk index of the Huafei river is very high, with the potential ecological risk intensity highest in the midstream and downstream sections where it is recommended that pollution control is carried out, especially concerning Hg and Cd. Long-term sequence analysis indicates that Cu and Pb dropped sharply from 1998 to 2017, but rebounded in 2019, and that Zn shows a continuous decreasing trend. Four main sources for the heavy metal contaminants were identified: Cr, Cu, Ni, Pb, Zn and Hg derived mainly from industrial activities, traffic sources and natural sources; Cd originated mainly from industrial and agricultural activities; whilst As was mainly associated with industrial activities. It is anticipated that the findings of this study will provide theoretical references for the effective control and scientific management of heavy metal pollution in the Huafei River and its surrounding areas.

show abstract

Ecological Risk Assessment of Heavy Metals in the Vicinity of Tungsten Mining Areas, Southern Jiangxi Province

Cited by 30 publications

References 33 publications

Modes of occurrence of tungsten in alluvial soils and river sediments in the area of the Grantcharitsa tungsten deposit, Western Rhodopes, Bulgaria

Modes of occurrence of tungsten in alluvial soils and river sediments in the area of the Grantcharitsa tungsten deposit, Western Rhodopes, Bulgaria

Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments From the Huafei River in the Eastern Suburbs of Kaifeng, China

Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments from the Huafei River in the Eastern Suburbso Kaifeng, China

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