Evaluation of water inrush risk from coal seam floors with an AHP–EWM algorithm and GIS

As coal mining is extended to ever-greater depths, the factors affecting the safe mining of coal seams are becoming increasingly complicated. High-pressure confined water in the coal seam floor can pose a major threat to the safety of coal mining. Therefore, based on the analysis of various factors...

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Bibliographic Details
Published in:Environmental earth sciences 2019-05, Vol.78 (10), p.1-15, Article 290
Main Authors: Hu, Yanbo, Li, Wenping, Wang, Qiqing, Liu, Shiliang, Wang, Zhenkang
Format: Article
Language:English
Subjects:
Algorithms
Analytic hierarchy process
Biogeosciences
Coal
Coal mines
Coal mining
Damage assessment
Earth and Environmental Science
Earth Sciences
Entropy
Environmental Science and Engineering
Evaluation
Floors
Geochemistry
Geographical information systems
Geology
Hydrology/Water Resources
Hydrostatic pressure
Mathematical analysis
Mining
Mining accidents & safety
Occupational safety
Original Article
Pressure
Risk
Stress concentration
Terrestrial Pollution
Thickness
Water
Water damage
Water inrush
Zonation
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Summary:As coal mining is extended to ever-greater depths, the factors affecting the safe mining of coal seams are becoming increasingly complicated. High-pressure confined water in the coal seam floor can pose a major threat to the safety of coal mining. Therefore, based on the analysis of various factors that affect water inrush from coal seam floors, this study develops a geological engineering model of high-pressure confined water damage assessment for coal mine face floors. The model adopts six evaluation factors: coal mining depth, coal seam thickness, thickness of the aquiclude, hydrostatic pressure, brittle-rock thickness, and the distribution of faults and folds. The comprehensive weight of the six factors is obtained through analytic hierarchy processing (AHP) and the entropy weight method (EWM) to establish an AHP–EW risk index model (AEM). AEM is applied for the evaluation of two coalfaces in a study area in North China, and the water inrush risk zonation of the coalface floors is determined. Finally, the results given with AEM are compared with those from the traditional water inrush coefficient method, and its applicability in other mining areas is also validated. The results show that the proposed model provides more accurate evaluation results than the traditional method and that its application is more practical.
ISSN:1866-6280
1866-6299
DOI:10.1007/s12665-019-8301-5