气候变化领域集成服务门户(CCPortal): Research on displacement prediction of step-type landslide under the influence of various environmental factors based on intelligent WCA-ELM in the Three Gorges Reservoir area

CCPortal

DOI	10.1007/s11069-021-04655-3
	Research on displacement prediction of step-type landslide under the influence of various environmental factors based on intelligent WCA-ELM in the Three Gorges Reservoir area
	Zhang Y.-G.; Chen X.-Q.; Liao R.-P.; Wan J.-L.; He Z.-Y.; Zhao Z.-X.; Zhang Y.; Su Z.-Y.
发表日期	2021
ISSN	0921030X
起始页码	1709
结束页码	1729
卷号	107 期号:2
英文摘要	Landslides are one of the most destructive geological disasters and have been caused many casualties and economic losses every year in the world. The reservoir area formed by the world's largest hydropower project, Three Gorges Hydropower project of China, has become a natural testing ground for landslide prediction in the hope of reducing losses. In this paper, a new algorithm with strong optimization ability, the water cycle algorithm (WCA), is combined with the extreme learning machine (ELM) to improve the prediction accuracy of step-wise landslide. The gray relational grade analysis method was adopted to determine the main influencing factors of the landslide's periodic displacement. Then, the determined factors were used as the input items of the proposed WCA-ELM model, and the corresponding periodic displacement was used as the model output item. Taking the Liujiabao landslide in the Three Gorges Reservoir area as a case history, the proposed model was verified through a comparison with the measurements. The results showed that the model has a faster convergence rate and higher prediction accuracy than the traditional back-propagation neural network model and ELM-model. The water cycle algorithm is suitable for optimizing the accuracy of the extreme learning machine model in landslide prediction. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	Displacement prediction Extreme learning machine Intelligent water cycle algorithm Step-type landslide The Three Gorges Reservoir area
英文关键词	algorithm; displacement; environmental factor; landslide; machine learning; prediction; reservoir; China; Three Gorges Reservoir
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206717
作者单位	Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, and Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China; Xiamen Anneng Construction Co., Ltd., Xiamen, 361000, China; Railway Engineering Research Institute, China Academy of Railway Science Co., Ltd., Beijing, 100081, China; College of Civil and Transportation Engineering, Hohai University, Nanjing, 210098, China; Nanjing Hydraulic Research Institute, Nanjing, 210029, China
推荐引用方式 GB/T 7714	Zhang Y.-G.,Chen X.-Q.,Liao R.-P.,et al. Research on displacement prediction of step-type landslide under the influence of various environmental factors based on intelligent WCA-ELM in the Three Gorges Reservoir area[J],2021,107(2).
APA	Zhang Y.-G..,Chen X.-Q..,Liao R.-P..,Wan J.-L..,He Z.-Y..,...&Su Z.-Y..(2021).Research on displacement prediction of step-type landslide under the influence of various environmental factors based on intelligent WCA-ELM in the Three Gorges Reservoir area.Natural Hazards,107(2).
MLA	Zhang Y.-G.,et al."Research on displacement prediction of step-type landslide under the influence of various environmental factors based on intelligent WCA-ELM in the Three Gorges Reservoir area".Natural Hazards 107.2(2021).