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根据峰峰矿区主要含水层常规水化学分析数据,采用贝叶斯判别法和模糊数学综合方法对充水水源进行判别。为了检验充水水源预测模型的有效性和准确性,用建立的贝叶斯模型和模糊数学模型对已知的29组数据逐一回判,正确率分别为96.6%和75.86%,可以利用这2个模型对峰峰矿区废弃矿井的充水水源进行判别。判别结果表明,峰峰矿区废弃矿井充水水源为奥灰水。
According to the conventional water chemistry analysis data of the main aquifer in Fengfeng Mining Area, Bayesian discriminant method and fuzzy mathematics synthesis method were used to distinguish the water source. In order to test the validity and accuracy of the prediction model of water flooding source, the known 29 sets of data were returned one by one with the established Bayesian and fuzzy mathematical models, the correct rates were 96.6% and 75.86%, respectively, which can be utilized A model of Fengfeng mine abandoned mine water filling water discrimination. Discriminant results show that Fengfeng mining abandoned mine water source for the gray water.