A Landslide Displacement Prediction Method with Iteration-Based Combined Strategy. (15th January 2021)

• Record Type: Journal Article
• Authors: Li, L.; Zhang, S. X.; Qiang, Y.; Zheng, Z.; Li, S. H.; Xia, C. S.
• Other Names: Xie Xinyu Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2021(2021)
• Publication Date: 2021-01-15
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2021/6692503
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : Predicting landslide displacement is of great significance in geotechnical engineering. An iteration-based combined prediction method was proposed for predicting the landslide displacement in this paper. Firstly, the landslide displacement was predicted by 10 latest multivariable grey models, and then the final landslide displacement prediction value was obtained through an iteration-based combined strategy. Concurrently, the reliability of the quadratic programming-based combined prediction method (QPCPM) and the iteration-based combined prediction method (ICPM) was rigorously proved in this paper. In addition, the inapplicability conditions of the optimal weight-based combined prediction method (OWCPM) were pointed out. ICPM could be regarded as a simplified version of QPCPM. The Bazimen and Baishuihe landslides in the Three Gorges Reservoir area of China were used as numerical examples to elaborate the performance of ICPM. This paper also demonstrated the reliability of ICPM by considering the effects of rainfall and reservoir water level on landslide displacement. Overall, ICPM features in simple and easy calculation and has rosy engineering application prospects.