Risk Assessment of Water Inrush from Coal Seam Roof Based on the Combined Weighting of the Geographic Information System and Game Theory: A Case Study of Dananhu Coal Mine No. 7, China

Coal mines’ water inrush is one of the five major disasters that affect the safety of coal mine production. The assessment of coal mines’ water inrush is a prerequisite for preventing and controlling coal mines’ water inrush. To objectively and effectively evaluate the risk of water inrush in the co...

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Bibliographic Details
Published inWater (Basel) Vol. 16; no. 5; p. 710
Main Authors Liu, Qingtao, Xu, Jie, Wang, Qiqing, Li, Wenping
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2024
Subjects
AHP
Aquifers
Brittleness
Case studies
Coal industry
Coal mining
entropy method
Fault lines
Game theory
Geographic information systems
Geology
GIS
Methods
Mineral industry
Mining accidents & safety
Mining industry
Neural networks
Risk assessment
Rocks
roof water inrush
China
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Summary:Coal mines’ water inrush is one of the five major disasters that affect the safety of coal mine production. The assessment of coal mines’ water inrush is a prerequisite for preventing and controlling coal mines’ water inrush. To objectively and effectively evaluate the risk of water inrush in the coal seam roof and overcome the shortage of single assignment methods, two methods, the analytic hierarchy process and the entropy method, are used in this paper to determine each evaluation factor’s subjective and objective consequences. Game theory is applied to obtain the combined weights of each influencing factor to make up for the lack of a single assignment method. Taking the roof of Coal Seam No. 7 in mining Areas I and II of Dananhu Coal Mine No. 7 as an example, six primary evaluation indexes are created to control water inrush in the coal seam roof. The comprehensive weights of each index is determined; a vulnerability index evaluation model is established; and the results of the water inrush risk zone in the coal seam roof of Dananhu Coal Mine No. 7 are obtained using the GIS spatial analysis function. The results show that the discriminatory effects of the zoning model have a high accuracy and can provide a reference basis for future coal seam mining control work in this mine.
ISSN:2073-4441
2073-4441
DOI:10.3390/w16050710