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根据地下水位与影响因素之间存在的映射关系，采用相关分析法确定地下水位的主要影响因素，并分别将已知地下水位及待预测地下水位样本的影响因素作为论域中的两个子集，提出用模糊模式识别法，进行地下水位的动态预测。实例表明，该法预测成果精度较高，具有一定的推广价值。
According to the mapping relationship between the groundwater level and the influencing factors, the correlation analysis is used to determine the main influencing factors of the groundwater level. The influencing factors of the known groundwater level and the sample to be predicted are taken as two subsets of the universe of discourse respectively, The fuzzy pattern recognition method is proposed to predict the groundwater level dynamically. The example shows that this method has a higher accuracy and a certain promotion value.