Prediction of groundwater inrush into coal mines from aquifers underlying the coal seams in China: vulnerability index method and its construction |
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Authors: | Qiang Wu Wanfang Zhou |
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Institution: | (1) Institute of Mine Water Disaster Prevention and Control and Water Resources, China University of Mining and Technology, Beijing, China;(2) P. E. LaMoreaux & Associates, Inc., 106 Administration Road, Ste.4, Oak Ridge, TN 37830, USA |
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Abstract: | Groundwater inrushes often occur in the coal mines of China. One of the water sources is the aquifers underlying the coal
seams. Because such a water hazard is affected by many factors, data collected from various sources need to be evaluated to
predict its occurrence. This paper introduces an innovative approach in which the water inrush risk is represented by the
vulnerability index. This method combines the geographic information system and the artificial neural network. The artificial
neural network is used to estimate the weight of each factor. Unlike the traditional prediction method in which two controlling
factors are often evaluated without regard to their relative importance, this new approach incorporates multi-factors and
describes the non-linear dynamical processes. |
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Keywords: | Keyword" target="_blank">Keyword Vulnerability index method Multi-sources information Integration Coupling method Water inrush prediction Coal mines China |
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