Prediction of groundwater inrush into coal mines from aquifers underlying the coal seams in China: application of vulnerability index method to Zhangcun Coal Mine,China |
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| Authors: | Qiang Wu Wanfang Zhou Jinhua Wang Shuhan Xie |
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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 and Associates, Inc., 106 Administration Road, Ste.4, Oak Ridge, TN 37830, USA;(3) China Coal Research Institute, Beijing, China |
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| Abstract: | Groundwater inrush is a geohazard that can significantly impact safe operations of the coal mines in China. Its occurrence
is controlled by many factors and processes are often not amenable to mathematical expressions. To evaluate the water inrush
risk, Professor Wu and his colleagues have proposed the vulnerability index approach by coupling the artificial neural network
(ANN) and geographic information system (GIS). The detailed procedures of using this innovative approach are shown in a case
study. Firstly, the powerful spatial data analysis functions of GIS was used to establish the thematic layer of each of the
main factors that control the water inrush, and then to choose the training sample on the thematic layer with the ANN-BP Arithmetic.
Secondly, the ANN evaluation model of the water inrush was established 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 four regions with different
vulnerability levels and they served as the general guidelines for the mine operations. |
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| Keywords: | Vulnerability index method Water inrush coefficient Water inrush GIS ANN Coal mines China |
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