基于DDA方法的滑坡稳定性预测

应用距离判别分析（DDA）方法，将影响滑坡失稳的外形特征、滑面特征等4项内在因素和河流作用、暴雨强度等5项外在因素作为判别因子，建立了滑坡稳定性预测的距离判别分析模型.以国内典型滑坡工程发生失稳的实测资料作为学习样本进行训练，建立相应判别函数，对待判样本进行预测.结果表明距离判别分析模型预测性能良好，预测精度高，回判估计的误判率为零，是滑坡稳定性预测的一种有效方法，可以在实际工程中进行推广应用.

The Prediction Study of the Stability of Lanslide Based on DDA Method

Based on the principle of Mahalanobis distance discriminant analysis,a stability predictive model of landslide is established in this paper,including nine indexes reflecting the stability of landslide:configurational character,slip surface character,the shear strength of slip soils,latest activities(intrinsic factor) and potamic effect,rainstorm intensity,posterior load,engineering activities,earthquake effect(exterior factor).Discriminant functions are obtained through training a large set of lanslide engineering in three Gorges zone.The evaluated results show that the prediction model of distance discriminant analysis excellent performance and the resubstitution rate is zero.This is a new method to predict the stability of landslide and can be used in practical lanslide engineering.