Deep underground mining and surface slope operations face complex geology, making them prone to water-related disasters like landslides and water inrush during extreme rainfall or intense mining activity. These disasters threaten safety, operational stability, and resource efficiency, often causing economic losses and environmental damage. Sustainable mining requires understanding disaster mechanisms, predictive methods, and prevention strategies to reduce waste.
Modern technology is vital for disaster prevention and water management. Researchers use interdisciplinary methods to analyze risks. For example, studies on retaining structures in cold regions show prestressed concrete designs reduce dynamic loads, aiding debris flow prevention. Remote sensing and geospatial analysis monitor post-mining land movement and groundwater rebound, revealing links between climate-driven subsidence and mining-induced uplift. This informs environmental management in reclaimed areas. Research also explores groundwater seepage and uneven loading's effects on roadway stability. Scaled physical modeling, acoustic emission monitoring, and numerical simulations clarify deformation stages and failure mechanisms in waterlogged rock masses, helping predict failure zones and guide targeted reinforcement. Additionally, studies on external factors like impact speed and projectile shape quantify their effects on structural response, offering guidelines for protective designs.
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