Activated carbon as a strong DOM adsorbent mitigates antimony and arsenic release in flooded mining-impacted soils.

J Hazard Mater

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu Province 210023, China. Electronic address:

Published: July 2024

In Southern China, the co-occurrence of arsenic (As) and antimony (Sb) contamination in soils around Sb mines presents an environmental challenge. During the flooding period of mining-impacted soils, anaerobic reduction of iron (Fe) oxides enhances the mobilization and bioavailability of Sb and As, further elevating the risk of Sb and As entering the food chain. To address this problem, activated carbon (AC) and biochar (BC) were applied to remediate flooded mining-impacted soils. Our results explored that AC can significantly decrease mobilization by 9-97 % for Sb and 9-67 % for As through inhibiting Fe(III) mineral reduction and dissolution in flooded soils. In contrast, there was no significant effect of BC. This was attributed to the strong adsorption of soil dissolved organic matter (DOM) by AC compared to BC, while DOM as electron shuttle is crucial for microbial Fe(III) reduction. Consequently, the DOM sequestration by AC effectively mitigates Sb and As leaching in contaminated mining soils.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jhazmat.2024.134663DOI Listing

Publication Analysis

Top Keywords

mining-impacted soils
12
activated carbon
8
flooded mining-impacted
8
soils
6
carbon strong
4
dom
4
strong dom
4
dom adsorbent
4
adsorbent mitigates
4
mitigates antimony
4

Similar Publications

Prevalence of antibiotic resistance genes in mining-impacted farmland environments.

Ecotoxicol Environ Saf

January 2025

SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Environmental Theoretical Chemistry, South China Normal University, Guangzhou 510006, China. Electronic address:

Mining activities produce large quantities of tailings and acid mine drainage, which contain varieties of heavy metals, thereby affecting the downstream farmland soils and crops. Heavy metals could induce antibiotic resistance through co-selection pressure. However, the profiles of antibiotic resistance genes (ARGs) in the mining-affected farmland soils and crops are still unclear.

View Article and Find Full Text PDF

Applications of geographically weighted machine learning models for predicting soil heavy metal concentrations across mining sites.

Sci Total Environ

December 2024

Department of Environmental Science & Ecological Engineering, College of Life Sciences & Biotechnology, Korea University, Seoul 02841, Republic of Korea. Electronic address:

The accurate prediction of soil heavy metal contamination is crucial for the effective environmental management of abandoned mining areas. However, conventional machine learning models (CMLMs) often fail to account for the spatial heterogeneity of soil contamination, which limits their predictive accuracy. This study evaluated the performance of geographically weighted machine learning models (GWMLMs) in predicting soil Cd and Pb concentrations in abandoned mines in the Republic of Korea.

View Article and Find Full Text PDF
Article Synopsis
  • Beudantite is a secondary mineral formed from the oxidation of sulfide-rich mining tailings, impacting the geochemical cycling of arsenic (As) and lead (Pb) at mine sites.
  • Research showed that when beudantite dissolves under varying pH conditions (2-8), it releases small amounts of As and Pb, with the release rate changing over time.
  • The study concludes that beudantite is a stable host for As and Pb, potentially reducing environmental and health risks by immobilizing these metals released from mining activities.
View Article and Find Full Text PDF

Artisanal gold mining can lead to soil contamination with potentially toxic elements (PTEs), necessitating soil quality monitoring due to environmental and human health risks. However, determining PTE levels through acid digestion is time-consuming, generates chemical waste, and requires significant resources. As an alternative, portable X-ray fluorescence (pXRF) offers a faster, more cost-effective, and sustainable analysis.

View Article and Find Full Text PDF

Cd mobilization in mining-impacted soils with different bedrock lithology: Insights from stable Cd isotopes.

J Hazard Mater

December 2024

State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, PR China. Electronic address:

The environmental risk of Cd in soils strongly depends on the mobilization of Cd in soils. However, limited knowledge exists on the redistribution of exogenic Cd inputs in soils, especially across diverse lithological regions. Herein, we aimed to investigate the fate of Cd in soils from two mining areas with contrasting lithologies (siliceous and calcareous) using stable Cd isotopes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!