基于BP神经网络的第四系覆盖物厚度预测及三维地质建模
摘要
Fine investigation and assessment of geological disaster risk is an important part of prevention and control of geological disaster reduction at present.The development of 3D slope geological modeling technology provides a new idea for detailed investigation and assessment of landslide hazard risk, which can greatly improve the efficiency and assessment accuracy of landslide hazard investigation in the region.In this paper, based on Skua -Gocad platform, three -dimensional geological modeling technology of regional slope is studied for two modules of Quaternary cover and underlying bedrock.Taking Dazhou Town, Wanzhou District, Chongqing as an example, BP neural network model is used to predict the thickness of Quaternary cover by building a multi -dimensional nonlinear network of Quaternary cover thickness and geological environment indicators in the study area.Combined with the field survey data, the method is verified, and the prediction accuracy of Quaternary cover thickness based on BP neural network reaches 91.49%.On this basis, a 3D geological model is built, which has good visualization effect and ensures the reliability of data.It overcomes the shortcoming of traditional Kriging interpolation method that can′t reflect geological