Issue |
E3S Web Conf.
Volume 637, 2025
2025 International Conference on Environmental Monitoring and Ecological Restoration (EMER 2025)
|
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Article Number | 01005 | |
Number of page(s) | 6 | |
Section | Ecological Restoration Technology and Practice Research | |
DOI | https://doi.org/10.1051/e3sconf/202563701005 | |
Published online | 16 July 2025 |
Ecological Restoration and Greening Technology for Highway Coal Gangue Slope in Karst Mountains
1 Guizhou Communications Polytechnic University, Guiyang 551400, China;
2 Guizhou Sheng Liu An Expressway CO. LTD, Guanling, 561300, China.
* Corresponding author: mzy_gogo@hotmail.com
This study proposes a comprehensive matrix improvement and artificial planting greening technology with the ecological restoration and greening challenges posed by exposed coal gangue strata following the excavation of Karst mountainous highway slopes. By considering the properties of coal gangue, regional climate conditions, and vegetation characteristics, the proposed approach integrates spray modification, covering and sealing, and selective planting techniques. This method not only reduces construction costs but also effectively enhances the ecological restoration level of mountainous coal gangue slopes while improving the survival rate of green vegetation. Drawing from an actual project involving the excavation of exposed coal gangue on the slope of a highway under construction, a microbial water-retaining agent was sprayed to modify the surface coal gangue soil layer through microbial action. Subsequently, cement-mixed soil was applied to cover and seal the coal gangue layer. Finally, the greening of the coal gangue slope was achieved via carefully selected and manually planted vegetation. This research contributes to advancing the green ecological construction of transportation infrastructure in Karst mountainous regions and provides valuable references for similar projects.
© 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.
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