Abstract
This paper presents a way to evaluate the degree of fault complexity in coal mines using the geographic information system (GIS) and fractal theory. First, the factors that affect the degree of complexity of coal mine faults are determined. Then, an analytic hierarchy process model is used to calculate the factor weighting, and an information entropy model is used to improve the weight information. Based on the local weighted linear combination, a fault complexity index is calculated. The proposed method was validated by a case study at the Chensilou coal mine in Henan Province, China. The result indicates that the method is robust; the degree of fault complexity was quantified and categorized. The fault complexity in the studied area consists of simple and moderate faults and the water yield was found to increase with the complexity index, indicating an increased risk of water inrush.
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