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| Application of Multivariate Stepwise Bayes Approach in Discrimination of Panbei Mine Water-inrush Sources |
| ZHU Dai-shuang, XU Guang-quan, CHANG Jing-jing, NIE Feng-qin |
| School of Earth and Environment, Anhui University of Science and Technology, Huainan, Anhui, 232001 |
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Abstract Based on the 55 typical water samples in Panbei coal mine, ten discriminative indexes ( Ca2+、Mg2+、Na++K+、HCO3-、Cl-、SO42-、alkalinity、total hardness、TDS and pH ) have been selected. Combine with multivariate stepwise Bayes discriminative analysis theory, the discriminative model of water-inrush has been established and verified. The result showed that the accuracy rate of the model was so high that it has a certain guiding significance for mine water-inrush discrimination and the work of water prevention and control.
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| About author:: School of Earth and Environment, Anhui University of Science and Technology, Huainan, Anhui, 232001 |
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