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<p>A visualization analysis was conducted on methods to rapidly identify coal mine water inrush sources using the CiteSpace bibliometric tool. This study analyzed 1100 scholarly articles on the identification of coal mine water inrush sources published from 2000 to 2022 in the Web of Science Core Collection. The analysis revealed key research focus areas and developmental trends in this field. Additionally, the study systematically categorized data types used in current methods for identifying mine water inrush sources into six categories: hydrochemistry, water temperature, water level, trace elements, isotope characteristics, and spectral data. It offers an overview of the attributes and suitability of various rapid identification techniques and introduces an integrated approach for distinguishing mine water sources, utilizing interdisciplinary and multi-method strategies based on diverse data types. Furthermore, the paper also discusses future directions for improving the identification of mine water inrush sources, offering new insights to enhance water hazard prevention and ensure safe mining operations.</p>

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Research Progress on Identification of Mine Water Inrush Sources: A Visual Analysis Perspective

  • 期刊论文

  • 发表日期：

    2025年2月18日

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  • Yuan Ji,
  • Lujia Yu,
  • Zhonglin Wei,
  • Jia Ding,
  • Donglin Dong

摘要

A visualization analysis was conducted on methods to rapidly identify coal mine water inrush sources using the CiteSpace bibliometric tool. This study analyzed 1100 scholarly articles on the identification of coal mine water inrush sources published from 2000 to 2022 in the Web of Science Core Collection. The analysis revealed key research focus areas and developmental trends in this field. Additionally, the study systematically categorized data types used in current methods for identifying mine water inrush sources into six categories: hydrochemistry, water temperature, water level, trace elements, isotope characteristics, and spectral data. It offers an overview of the attributes and suitability of various rapid identification techniques and introduces an integrated approach for distinguishing mine water sources, utilizing interdisciplinary and multi-method strategies based on diverse data types. Furthermore, the paper also discusses future directions for improving the identification of mine water inrush sources, offering new insights to enhance water hazard prevention and ensure safe mining operations.