Prediction of Floor Water Inrush: The Application of GIS-Based AHP Vulnerable Index Method to Donghuantuo Coal Mine,China |
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| Authors: | Qiang Wu Yuanzhang Liu Donghai Liu Wanfang Zhou |
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| Institution: | (1) Institute of Mine Water Disaster Preventing and Controlling and Water Resources, China University of Mining and Technology Beijing, Beijing, 100083, China;(2) Beijing Institute of Hydrogeology and Engineering Geology, Beijing, 100195, China;(3) Research Institute, BGP, CNPC, Korla, 84100, Xinjiang, China;(4) Zeo Environmental, 12710 Buttonwood Lane, Knoxville, TN 37934, USA; |
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| 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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