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Water-Richness Zoning Technology of Karst Aquifers at in the Roofs of Deep Phosphate Mines Based on Random Forest Model

Author

Listed:
  • Xin Li

    (College of Resource and Environmental Engineering, Guizhou University, Guiyang 550025, China)

  • Bo Li

    (College of Resource and Environmental Engineering, Guizhou University, Guiyang 550025, China
    Key Laboratory of Karst Georesources and Environment, Ministry of Education, Guizhou University, Guiyang 550025, China)

  • Ye Luo

    (Guizhou Kailin Phophate Industry Co., Ltd., Guiyang 550025, China)

  • Tao Li

    (School of Mines and Civil Engineering, Liupanshui Normal University, Liupanshui 553004, China)

  • Hang Han

    (Key Laboratory of Karst Georesources and Environment, Ministry of Education, Guizhou University, Guiyang 550025, China)

  • Wenjie Zhang

    (College of Resource and Environmental Engineering, Guizhou University, Guiyang 550025, China)

  • Beibei Zhang

    (College of Building Science and Engineering, Guiyang University, Guiyang 550025, China)

Abstract

The development of fractures and conduits in karst aquifers and the strength of their water richness are key factors in determining whether a water intrusion will occur in a mine. In the phosphorus mining process, if the mining of water-rich areas is carried out, sudden water disasters can easily occur. Therefore, water-richness zoning of the karst aquifer on the roof of the phosphate mine is very important to protect against the incidence of water disasters in the mine. This paper proposes a random-forest-based partitioning model of the water richness of phosphate mine roofs in karst areas based on the random forest intelligence algorithm in machine learning. Taking a productive phosphate mine in southern China as a typical case, seven main assessment indicators affecting the water richness of the phosphate mine roof aquifer were determined. The proposed random forest model was utilized to determine the weight of each evaluation index, and the water richness of the karst aquifer on the roof of this phosphate mine was studied by zoning. The whole structure of the mine is highly water-rich, with strongly water-rich areas mainly concentrated in the central and northeastern part of the mine. The water-richness fitting rates (WFP) introduced for validation were all in agreement with the evaluation results, and the constructed model met the accuracy requirements. The study’s findings can serve as a guide for mine design and water-disaster warnings in karst regions.

Suggested Citation

  • Xin Li & Bo Li & Ye Luo & Tao Li & Hang Han & Wenjie Zhang & Beibei Zhang, 2023. "Water-Richness Zoning Technology of Karst Aquifers at in the Roofs of Deep Phosphate Mines Based on Random Forest Model," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13852-:d:1242145
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    References listed on IDEAS

    as
    1. Noah J. Planavsky & Olivier J. Rouxel & Andrey Bekker & Stefan V. Lalonde & Kurt O. Konhauser & Christopher T. Reinhard & Timothy W. Lyons, 2010. "The evolution of the marine phosphate reservoir," Nature, Nature, vol. 467(7319), pages 1088-1090, October.
    2. Daolei Xie & Jing Han & Huide Zhang & Kai Wang & Zhongwen Du & Tianyu Miao, 2022. "Risk Assessment of Water Inrush from Coal Seam Roof Based on Combination Weighting-Set Pair Analysis," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
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