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云南省金属矿山智慧化建设中的水土保持技术集成研究

Integration of soil and water conservation technologies in intelligent construction of metal mines in Yunnan

  • 摘要: 根据国家矿山转型升级与生态文明建设的双重战略需求,聚焦生态环境脆弱的云南地区,系统探讨了将水土保持技术集成融入智慧矿山体系的理论框架、技术路径与实施对策。分析了当前智慧矿山与水土保持信息化的发展现状与面临挑战,指出传统模式难以满足高质量发展要求,学科融合和技术集成是破解矿业开发与生态保护协同难题的关键。研究提出以“天−地−空”一体化监测网络和多源数据融合为核心的智慧矿山水土保持集成路径,具体涵盖水土流失防治责任范围动态管理、水土流失动态监测与定量评估、水土保持措施智能优化及生态价值评估四大模块。该框架通过耦合三维地质模型、水文模型、InVEST模型、土壤侵蚀方程与人工智能算法等,旨在实现矿区水土流失从被动治理向主动预测与优化的转变。讨论了技术推广在标准、经济与制度层面的难点,并提出了加强数据标准化、深化模型研发、创新政策机制及强化示范与培训等对策建议,为促进矿业绿色智能化转型与区域生态安全协同发展提供了理论参考与实践指引。

     

    Abstract: In response to the dual strategic requirements of national mine transformation, upgrading, and ecological civilization construction, the ecologically fragile Yunnan area was taken as the research object to systematically discuss the theoretical framework, technical routes, and implementation countermeasures for integrating soil and water conservation technologies into intelligent mine systems. The current development status and challenges of intelligent mines and the informatization of soil and water conservation were also analyzed. It is pointed out that traditional models struggle to meet the demands for high-quality development. The integration of disciplines and technologies is pivotal to addressing the challenge of coordinating mining development and ecological protection. An integrated approach to soil and water conservation in intelligent mines was proposed, centering around an integrated "space−air−ground" monitoring network and multi-source data fusion. Specifically, it encompasses four major modules: dynamic management of the responsibility scope for soil and water loss prevention and control, dynamic monitoring and quantitative assessment of soil and water loss, intelligent optimization of soil and water conservation measures, and ecological value assessment. By integrating 3D geological models, hydrological models, InVEST models, soil erosion equations, and artificial intelligence algorithms, this framework aims to achieve a shift from passive governance to proactive prediction and optimization of soil and water loss in mining areas. Finally, the challenges in terms of standards, economy, and institutions regarding technology promotion were discussed. Countermeasures and suggestions were proposed, including strengthening data standardization, deepening model research and development, innovating policy mechanisms, and enhancing demonstration and training. These efforts aim to provide theoretical reference and practical guidance for promoting the green and intelligent transformation of the mining industry and the coordinated development of regional ecological security.

     

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