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<p>This study addresses the critical need for managing water resources in an arid coal mining region by developing a coal-water input–output (IO) model using an improved structural decomposition analysis (SDA) method. The framework, applied to the Qipanjing Coal Mine, China, quantifies the interdependence between coal production and water use. Analysis from 2020 to 2022 identified changes in dust suppression and vegetation irrigation water-use intensity as the dominant factor driving abnormal consumption, with direct water consumption intensity being the primary contributor. The model successfully forecasted water use based on planned production, achieving ≈ 95% accuracy; a combined single- and multi-coefficient approach proved most effective. The coal-water IO-SDA model effectively pinpointed key controlling factors during periods of abnormal water use and enables accurate prediction, demonstrating its utility for optimizing water resource management in coal mining.</p>

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Predicting Coal Mine Water Utilization: An IO-SDA Framework with Factor Analysis

  • 期刊论文

  • 发表日期：

    2026年6月20日

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  • Jiadong Chen,
  • Wenfeng Du

摘要

This study addresses the critical need for managing water resources in an arid coal mining region by developing a coal-water input–output (IO) model using an improved structural decomposition analysis (SDA) method. The framework, applied to the Qipanjing Coal Mine, China, quantifies the interdependence between coal production and water use. Analysis from 2020 to 2022 identified changes in dust suppression and vegetation irrigation water-use intensity as the dominant factor driving abnormal consumption, with direct water consumption intensity being the primary contributor. The model successfully forecasted water use based on planned production, achieving ≈ 95% accuracy; a combined single- and multi-coefficient approach proved most effective. The coal-water IO-SDA model effectively pinpointed key controlling factors during periods of abnormal water use and enables accurate prediction, demonstrating its utility for optimizing water resource management in coal mining.