Issue |
E3S Web Conf.
Volume 615, 2025
2024 International Conference on Environmental Protection and Pollution Control (EPPC 2024)
|
|
---|---|---|
Article Number | 02006 | |
Number of page(s) | 4 | |
Section | Research on Environmental Protection and Pollution Control Technology | |
DOI | https://doi.org/10.1051/e3sconf/202561502006 | |
Published online | 14 February 2025 |
Leaching Characteristics and Potential Ecological Risks of Typical Heavy Metals in Gangue-Based Composite Materials
1 Shenhua Shendong Coal Group Co., Ltd., Shenmu 719315, China
2 School of Chemical & Environmental Engineering at China University of Mining and Technology (Beijing), Beijing 100083, China
* Corresponding author: 10029667@shenhua.cc
Coal gangue can potentially release varying amounts of heavy metals under conditions such as soaking and leaching, posing a threat to ecological and environmental safety. This has become a research hotspot in recent years. Therefore, this study mainly focused on coal gangue and its composites, and studied the leaching behavior of typical heavy metals under different initial p H conditions and the potential ecological risk of leaching solution and its effect on alfalfa seed germination. The results show that the coal gangue has irregular block and flake structure, and the surface is rough, and its chemical composition mainly includes SiO2 and Al2O3. The leachates from both coal gangue and composite materials were alkaline, with relatively similar pH values. This is attributed to the leaching of alkaline compounds such as CaO and Fe2O3. As the initial pH decreased, the leaching amounts of Pb, Cr, Cd, and Hg increased, while the leaching amount of As decreased. In the leachate from coal gangue, the single-factor pollution index and Nemerow pollution index for Pb were 0.53 and 0.54, respectively. The composite materials demonstrated a good stabilization effect on heavy metals. These findings can provide a reference for the safe disposal of coal gangue in mining areas.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.