Cargando…
A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR—Cases Studied in the Three Gorges Reservoir Area
Accurately predicting the surface displacement of the landslide is important and necessary. However, most of the existing research has ignored the frequency component of inducing factors and how it affects the landslide deformation. Therefore, a hybrid displacement prediction model based on time ser...
Autores principales: | Zhang, Junrong, Tang, Huiming, Wen, Tao, Ma, Junwei, Tan, Qinwen, Xia, Ding, Liu, Xiao, Zhang, Yongquan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435852/ https://www.ncbi.nlm.nih.gov/pubmed/32752029 http://dx.doi.org/10.3390/s20154287 |
Ejemplares similares
-
Design and Testing of Inertial System for Landslide Displacement Distribution Measurement
por: Zhang, Yongquan, et al.
Publicado: (2020) -
Inducing factors and deformation mechanism of the Zhangjiacitang landslide in the Three Gorges Reservoir Area
por: Chen, Hongyu, et al.
Publicado: (2023) -
Design and Testing of a Flexible Inclinometer Probe for Model Tests of Landslide Deep Displacement Measurement
por: Zhang, Yongquan, et al.
Publicado: (2018) -
Application of Well Drainage on Treating Seepage-Induced Reservoir Landslides
por: Zou, Zongxing, et al.
Publicado: (2020) -
Groundwater level prediction based on a combined intelligence method for the Sifangbei landslide in the Three Gorges Reservoir Area
por: Zeng, Taorui, et al.
Publicado: (2022)