Eine praktische Methode für die Vorhersage von Sohlwassereinbrüchen unter Verwendung eines Hybridmodells aus künstlicher Intelligenz und GIS

Liu, Weitao; Han, Mengke

doi:10.1007/s10230-023-00932-8

Mine Water Environ

2023

DOI: 10.1007/s10230-023-00932-8

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Eine praktische Methode für die Vorhersage von Sohlwassereinbrüchen unter Verwendung eines Hybridmodells aus künstlicher Intelligenz und GIS

Weitao Liu

Mengke Han

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2024

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GIS-based water inrush risk evaluation of the 10th coal seam floor in Zhuxianzhuang Coal Mine, northern Anhui Province, China

Jiang,

Liu,

Chai

et al. 2024

Water Supply

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The problem of limestone karst water inrush from coal seam floors is becoming more and more prominent, and gradually becoming the focus of water control work in coal mines. Taking the floor of 10th coal seam in the third mining area of Zhuxianzhuang Coal Mine as the research object, seven indicators were identified as the main controlling factors in three aspects, such as aquifer, water barrier, geological structure. Subjective and objective weights were determined by the analytic hierarchy process and the entropy weighting method, and vulnerability zoning evaluation was carried out based on the geographic information system using the vulnerability index method. The study area was classified into five zones based on the graded thresholds calculated by the statistical analysis. The study shows that the area of Taiyuan Formation limestone karst water outburst gradually transitions from the safe zone to the vulnerable zone from the north to the east. This study has a certain guiding effect on the water inrush of Taiyuan Formation limestone karst from the floor of the 10th coal seam in the study area.

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GIS-based water inrush risk evaluation of the 10th coal seam floor in Zhuxianzhuang Coal Mine, northern Anhui Province, China

Jiang,

Liu,

Chai

et al. 2024

Water Supply

View full text Add to dashboard Cite

show abstract

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Eine praktische Methode für die Vorhersage von Sohlwassereinbrüchen unter Verwendung eines Hybridmodells aus künstlicher Intelligenz und GIS

Cited by 1 publication

References 17 publications

GIS-based water inrush risk evaluation of the 10th coal seam floor in Zhuxianzhuang Coal Mine, northern Anhui Province, China

GIS-based water inrush risk evaluation of the 10th coal seam floor in Zhuxianzhuang Coal Mine, northern Anhui Province, China

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