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基于距离判别分析理论,选用隧道的埋深、隧道区植被覆盖情况、隧道区年平均降雨量、隧道区地表水状况等8项指标作为距离判别分析模型的判别因子,以调查的数据作为训练样本,建立了隧道渗漏水灾害分级预测的距离判别分析模型,经过训练后的模型回判估计的误判率为零.利用该模型对国内圆梁山隧道和西奇一号隧道渗漏水情况进行预测,结果与实际符合,说明该模型在研究隧道渗漏水发生可能性及分级预测中有良好的实用性.该方法为隧道渗漏水灾害分级预测提供了一条新思路.
Based on the theory of distance discriminant analysis, 8 indexes of tunnel depth, vegetation coverage in tunnel area, annual average rainfall in tunnel area and surface water condition in tunnel area were selected as discriminant factors of distance discriminant analysis model. The survey data were used as training samples , Established a discriminant analysis model for the distance prediction of the tunnel seepage water disaster classification and the misjudgment rate of the trained model was 0. The leakage of water from the domestic Yueliangshan Tunnel and No. 1 Siciki Tunnel The results are in good agreement with the actual ones, which shows that the model has good practicability in studying the possibility of tunnel seepage water occurrence and classification prediction. This method provides a new idea for the classification prediction of tunnel seepage water disaster.