Numerical Simulation of Mining-Induced Landslide Risks and Agricultural Impacts in Coal Mine Areas

Abstract

In this study, we explore the dynamic interaction between mining activities and landslide formation in coal mine areas, with a particular focus on the subsequent impact on agricultural land. Recognizing that the processes influencing landslide formation are dynamic and closely linked to mining operations, we utilize numerical simulation to effectively assess and mitigate these risks. The primary objective is to analyze the factors that affect the stability of rock slopes in coal mining areas, especially considering the impact of mining activities on both unsaturated and saturated soils. Employing two-dimensional discrete element software, the study simulates the formation process of landslide-prone rocks in coal mine areas. This simulation is crucial for understanding the deformation and failure mechanisms of slopes under mining-induced stress conditions. Special attention is given to how these geological changes can potentially affect adjacent agricultural lands, which are vital for local communities' sustenance and agri-pharmaceutical uses. The results of the simulation are quantitatively robust, with the maximum error in slope crack data being 0.006 cm, in the right slope 0.12 cm, and in the slope top crack data 0.005 cm. These findings not only contribute to the field of geotechnical engineering in mining contexts but also provide valuable insights for agricultural land use planning and management in coal mining regions. By understanding and predicting the geological impacts of mining, this research aids in the development of strategies to protect agricultural lands, ensuring their continued productivity and contribution to local economies and ecosystems.