Abstract
Floor water inrush represents a geohazard that can pose significant threat to safe operations for instance in coal mines in China and elsewhere. Its occurrence is controlled by many factors, and the processes are often not amenable to mathematical expressions. To evaluate the water inrush risk, the paper proposes the vulnerability index approach by coupling the analytic hierarchy process (AHP) and geographic information system (GIS). The detailed procedures of using this innovative approach are shown in a case study in China (Donghuantuo Coal Mine). The powerful spatial data analysis functions of GIS was used to establish the thematic layer of each of the six factors that control the water inrush, and the contribution weights of each factor was determined with the AHP method. The established AHP evaluation model was used to determine the threshold value for each risk level with a histogram of the water inrush vulnerability index. As a result, the mine area was divided into five regions with different vulnerability levels which served as general guidelines for the mine operations. The prediction results were further corroborated with the actual mining data, and the evaluation result is satisfactory.
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Acknowledgments
This research was supported by China National Natural Science Foundation (grant no. 40572149 and 40772162), China National Scientific and Technical Support Program (grant no. 2007BAK24B01 and 2006BAB16B04), the “973” Program (grant no. 2006CB202205) and State Key Laboratory of Coal Resources and Mining Safety. The authors thank the anonymous reviewers for constructive comments that helped to improve the quality of the paper.
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Wu, Q., Liu, Y., Liu, D. et al. Prediction of Floor Water Inrush: The Application of GIS-Based AHP Vulnerable Index Method to Donghuantuo Coal Mine, China. Rock Mech Rock Eng 44, 591–600 (2011). https://doi.org/10.1007/s00603-011-0146-5
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DOI: https://doi.org/10.1007/s00603-011-0146-5