基于ANN的大石板滑坡区地下水位非线性预测

摘要

Based on artificial neural net(ANN),a nonlinear relation between groundwater elevation and rainfall process in the landslide area,is established to predict the groundwater elevation of the Dashiban landslide area under the condition of typical rainfall process,which induced landslide. It offers fundamental hydrogeological data for analyzing saturated/unsaturated seepage of the Dashiban landslide area.%采用BP神经网络模型建立了大石板滑坡在降雨条件下，地下水位与降雨过程之间的非线性关系，并预测了诱发滑坡的1983年6～7月典型降雨过程引起的地下水位.为大石板滑坡地下水渗流分析特征水头边界条件和反分析滑坡体土体的饱和渗透系数Ks提供了基本的水文地质资料.