Pollution and risk assessment of heavy metals in Zuoxiguo antimony mining area, southwest China

Bai, Ziyou; Wu, Fuzhong; He, Yinping; Han, Zhiwei

doi:10.1080/26395940.2022.2156397

Cited by 17 publications

(5 citation statements)

References 27 publications

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“…Particularly organic matter and Humic + Fulvic Acid contained in coal or coal waste contribute to soil quality and plant growth. Obtaining better results in the prepared mixtures than the reference mixture is due to this organic matter and Humic + Fulvic Acid in the coal content (Song and Lee, 2010;Peña et al, 2015;Ultra et al, 2022;Bai et al, 2023;Feng et al, 2023;Jayapal et al, 2023;Yin et al, 2023).…”

Section: Resultsmentioning

confidence: 91%

Investigation of the usability of industrial mining wastes in agriculture

Eker

2023

Front. Environ. Sci.

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In this study, the usability of the mixtures consisting of lignite coal taken from Tekirdag region and marble and travertine wastes taken from the marble factory in Gumushane region in local bean (Kelkit) cultivation was researched. First, control samples were created using only humus soil without coal, marble, or travertine dust. Then, for each coal or coal waste, coal/coal waste—waste marble dust and coal/coal waste—travertine dust mixtures were formed. These mixtures were obtained by mixing 25%, 50%, 75%, and 100% by weight of coal and 25%, 50%, and 75% by weight of marble and travertine dust. Afterwards, local beans were planted in these mixtures and their development was followed under laboratory conditions. Additionally, temperature and humidity values were recorded at certain intervals, pH and heavy metal analysis measurements were made on the mixtures before and after bean planting, the height and leaf measurement of the beans grown and the number of beans grown in these beans were also followed, and chlorophyll analysis was performed on the bean plants grown in these mixtures. As a result, 50% Coal-3D + 50% Travertine mixture had the maximum length increase, that 25% Coal Waste (Powder)-K3 + 75% Marble mixture had the highest number of beans, and that 50% Coal Waste -AK + 50% Marble mixture had the maximum leaf formation. In these mixtures, maximum 12 beans were grown and maximum 93 leaves were formed. Also, the bean plant was grown in all mixtures. The chlorophyll contents were at least as much as the values of the beans grown only in soil. However, heavy metal values do not exceed the permissible limit values in soil.

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Section: Resultsmentioning

confidence: 91%

Investigation of the usability of industrial mining wastes in agriculture

Eker

2023

Front. Environ. Sci.

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“…The application of risk assessments are predominantly observed in the evaluation of land lls (Ahmad et al 2023), drinking water sources (Zhang et al 2023a), soil in mining areas and industrial parks (Bai et al 2023). At present, there are three main methods for water ecological risk assessment: entropy method (RQ), probabilistic ecological risk method (PERA) and species sensitivity analysis method (SSD)(Zhao &Chen 2016).…”

Section: Introductionmentioning

confidence: 99%

Characteristics of heavy metal pollution in mine water inrush and environmental risk assessments

Yang,

Zhang,

Luo

et al. 2024

Preprint

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The acid mine water inrush resulting from coal mining activities poses a threat to the regional groundwater, leading to heavy metal pollution that can adversely impact the ecological environment and human health. In this study, several mines in the Guangyuan area were selected as research subjects to determine the concentrations of eight heavy metals (Cr, Fe, Mn, Hg, As, Zn, Pb, Cd) present in the mine water inrush. Ecological risks and human health risks were evaluated using species-sensitive distribution curves and health risk assessment models. The results showed that Fe had the largest excess rate and was the main substance causing ecological risks. The total health risk in the study area was high, mainly derived from the carcinogenic metal elements Cr, Cd and As, and the carcinogenic risk was higher than the maximum risk limit of 10-4, and the total non-carcinogenic risk was less than the maximum acceptable health risk limit 1, indicating that mine water inrush had a lower non-carcinogenic health risk, among which Fe had the largest non-carcinogenic risk and Cr6+ had the largest carcinogenic risk, which should be paid attention to in subsequent treatment and repair.

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“…The water was highly contaminated by Cr and Pb [23]. As [24,25], Pb [26], and Cd [27] pose health risks to humans. Therefore, it is particularly important to objectively evaluate the pollution characteristics and ecological risks of HMs at historical sites and identify their migration and enrichment pathways.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Heavy Metal(loid) Pollution and Human Health Risks Associated with a Mineral (Zn, Cu, and Sn Ores) Processing Plant in Yunnan, Southwest China

Luo,

Zhang,

Wei

et al. 2024

Minerals

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Understanding the contamination and sources of heavy metal(loid)s (HMs) at historical sites is vital for safeguarding human health and the ecological environment. This study focused on As, Hg, Cd, Cu, Pb, Ni, and Cr concentrations in the residual soil, groundwater, and surface water around a mineral processing plant. The sources of these elements and the human health risks posed by them were evaluated using various indexes. Soil HM concentrations exceeded background values for Yunnan Province, ranked as As > Pb > Cd > Cu > Hg > Ni. The river water met China's Class II waterbody standard; however, Cd, Cu, Pb, and pH exceeded the maximum permissible sewage discharge concentrations in the accumulated water. The groundwater showed severe HM pollution, meeting China's Class III water quality standard. The average value of the Nemerow pollution index was consistent with that of the single-factor pollution index in the following order: As > Pb > Cd > Ni > Cu > Hg. Children face heightened risk through the oral ingestion of As, Cd, and Pb, particularly in high-value sampling points in the residue deposit area. The main sources of these pollutants are anthropogenic activities and the soil formation matrix.

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Pollution and risk assessment of heavy metals in Zuoxiguo antimony mining area, southwest China

Cited by 17 publications

References 27 publications

Investigation of the usability of industrial mining wastes in agriculture

Investigation of the usability of industrial mining wastes in agriculture

Characteristics of heavy metal pollution in mine water inrush and environmental risk assessments

Assessment of Heavy Metal(loid) Pollution and Human Health Risks Associated with a Mineral (Zn, Cu, and Sn Ores) Processing Plant in Yunnan, Southwest China

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