The lack of understanding of heavy metal speciation and solubility control mechanisms in smelting soils limits the effective pollution control. In this study smelting soils were investigated by an advanced mineralogical analysis (AMICS), leaching tests and thermodynamic modelling. The aims were to identify the partitioning and release behaviour of Pb, Zn, Cd and As. The integration of multiple techniques was necessary and displayed coherent results. In addition to the residual fraction, Pb and Zn were predominantly associated with reducible fractions, and As primarily existed as the crystalline iron oxide-bound fractions. AMICS quantitative analysis further confirmed that Fe oxyhydroxides were the common dominant phase for As, Cd, Pb and Zn. In addition, a metal arsenate (paulmooreite) was an important mineral host for Pb and As. The pH-stat leaching indicted that the release of Pb, Zn and Cd increased towards low pH values while release of As increased towards high pH values. The separate leaching schemes were associated with the geochemical behaviour under the control of minerals and were confirmed by thermodynamic modelling. PHREEQC calculations suggested that the formation of arsenate minerals (schultenite, mimetite and koritnigite) and the binding to Fe oxyhydroxides synchronously controlled the release of Pb, Zn, Cd and As. Our results emphasized the governing role of Fe oxyhydroxides and secondary insoluble minerals in natural attenuation of heavy metals, which provides a novelty strategy for the stabilization of multi-metals in smelting sites.
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http://dx.doi.org/10.1016/j.jes.2023.05.022 | DOI Listing |
Arch Environ Contam Toxicol
January 2025
College of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing, People's Republic of China.
The investigation focused on Tl, Hg, As, and Sb as the targeted contaminants in the soil surrounding a thallium mining region in southwestern China. Potential sources of toxic elements were identified using correlation analysis and principal component analysis. By interpreting the results of correlation and principal component analysis, the potential sources of Tl, Hg, As, and Sb were identified to include the mining and smelting industry.
View Article and Find Full Text PDFSci Rep
December 2024
College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China.
Crop plants are severely affected by heavy metals (HMs), leading to food scarcity and economical loss. Lead (Pb) is outsourced by use of lead-based fertilizers, batteries, mining, smelting and metal processing. It significantly reduces growth, development and yield of crops cultivated on contaminated sites.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Ecological Environment of Farmland in Hebei, College of Resources and Environmental Sciences, Hebei Agricultural University, Baoding 071000, China.
To clarify the characteristics of Cd, As, and Pb concentrations in edible parts of crops and farmland soils, a key farmland survey was conducted on the field scale to investigate the characteristics of Cd, As, and Pb in soil and chili pepper (edible parts in the above-ground section) and sweet potato (edible parts under the ground) and assess the health risk of Cd-As-Pb in edible parts of chili pepper and sweet potato to humans in the typical co-contaminated agricultural soils by Cd, As, and Pb from metal smelting and sewage irrigation in North China. The results showed that the agricultural soil from chili pepper and sweet potato fields was co-contaminated by Cd and As at a moderate pollution level. The combined pollution index (2.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
Shaanxi Environmental Monitoring Center, Xi'an 710006, China.
To identify the spatial distribution patterns and assess the ecological risks associated with soil heavy metal pollution in the southern region of Hunan Province, a total of 362 surface soil samples were collected from the studied area. This study employed multivariate statistics and geographic information systems (GIS) to investigate the spatial distribution pattern of soil metals (Cd, Hg, As, Pb, Zn, Ni, Mn, Tl, and Sb). Furthermore, the pollution sources and source-specific ecological risk of heavy metals were quantified by combining the positive matrix factorization (PMF) model and the comprehensive ecological risk index model.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Agricultural & Rural Pollution Abatement and Environmental Safety, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China; School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China.
This study quantified heavy metal (HM) pollution risks in mining site soils to provide targeted solutions for environmental remediation. Focusing on As waste mine sites in Yunnan, we utilised multiple indices and a positive matrix factorisation model to assess and quantify ecological health risks. Our ecological risk assessment distinguished between environmental and biological factors.
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