Research on quantitative identification of mine water inflow based on multivariate statistical analysis

Identifying the sources of mine water gushing is fundamental for preventing water hazards in coal mining areas, enhancing the economic efficiency and effectiveness of prevention measures. Taking a mining area in the southern margin of Ordos Basin as the research area, 11 mine water samples were collected before and after the mine water gushing events. Hydrogeological comprehensive analysis was employed to preliminarily identify the water sources, and a mathematical model was developed using groundwater chemical compositions. The sources of water gushing were quantitatively analyzed using statistical methods such as cluster analysis, factor analysis, multiple regression analysis, and canonical correlation analysis, the analysis results are mutually verified with the actual exploration results. The main sources of water gushing in the study area include Zhiluo Formation water, Luohe Formation water, and Quaternary water. Among these, Luohe Formation water and Quaternary water were primarily recharged by surface water, which infiltrated the mine through fractures. Cluster analysis showed that the first inrush water sample was grouped with Zhiluo Formation water, Quaternary water, and surface water, while goaf water formed a separate cluster. The chemical compositions of the second and third gushing water samples were similar to those of goaf water, the mass concentration of sulfate ions (SO42−) and magnesium ions (Mg2+) is higher. Factor analysis revealed that Zhiluo Formation water and goaf water contributed significantly to the water gushing, with contribution rates of 0.989 and 0.988, respectively. Multiple regression analysis indicated that surface water and Quaternary water had the most significant impacts on water gushing. Canonical correlation analysis further confirmed the strong relationship between gushing water samples and surface water or Quaternary water with regression coefficients of 2.764 and −3.169, respectively. The main sources of water gushing in the study area were identified as surface water, Quaternary water, and Zhiluo Formation water, with the findings highly consistent with actual exploration results. Therefore, integrating multivariate statistical analysis techniques can achieve quantitative identification of water gushing sources.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
DOI
https://doi.org/10.13347/j.cnki.mkaq.20240900
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on quantitative identification of mine water inflow based on multivariate statistical analysis

SHILAP Revista de lepidopterología
Rock Mechanics and Modeling
article

Research on quantitative identification of mine water inflow based on multivariate statistical analysis

article en

Abstract

Identifying the sources of mine water gushing is fundamental for preventing water hazards in coal mining areas, enhancing the economic efficiency and effectiveness of prevention measures. Taking a mining area in the southern margin of Ordos Basin as the research area, 11 mine water samples were collected before and after the mine water gushing events. Hydrogeological comprehensive analysis was employed to preliminarily identify the water sources, and a mathematical model was developed using groundwater chemical compositions. The sources of water gushing were quantitatively analyzed using statistical methods such as cluster analysis, factor analysis, multiple regression analysis, and canonical correlation analysis, the analysis results are mutually verified with the actual exploration results. The main sources of water gushing in the study area include Zhiluo Formation water, Luohe Formation water, and Quaternary water. Among these, Luohe Formation water and Quaternary water were primarily recharged by surface water, which infiltrated the mine through fractures. Cluster analysis showed that the first inrush water sample was grouped with Zhiluo Formation water, Quaternary water, and surface water, while goaf water formed a separate cluster. The chemical compositions of the second and third gushing water samples were similar to those of goaf water, the mass concentration of sulfate ions (SO42−) and magnesium ions (Mg2+) is higher. Factor analysis revealed that Zhiluo Formation water and goaf water contributed significantly to the water gushing, with contribution rates of 0.989 and 0.988, respectively. Multiple regression analysis indicated that surface water and Quaternary water had the most significant impacts on water gushing. Canonical correlation analysis further confirmed the strong relationship between gushing water samples and surface water or Quaternary water with regression coefficients of 2.764 and −3.169, respectively. The main sources of water gushing in the study area were identified as surface water, Quaternary water, and Zhiluo Formation water, with the findings highly consistent with actual exploration results. Therefore, integrating multivariate statistical analysis techniques can achieve quantitative identification of water gushing sources.

SHILAP Revista de lepidopterología
Henan Polytechnic University (CN), Luoyang Institute of Science and Technology (CN)
Openalex Percentile: Top 53%
Rock Mechanics and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.