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Ding L, Li C, Lei Z, Zhang C, Wei L, Guo Z, Li Y, Fan X, Qi D, Wang J. Spatiotemporal evolution of deformation and LSTM prediction model over the slope of the deep excavation section at the head of the South-North Water Transfer Middle Route Canal. Heliyon 2024; 10:e26301. [PMID: 38390192 PMCID: PMC10881434 DOI: 10.1016/j.heliyon.2024.e26301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 11/27/2023] [Accepted: 02/09/2024] [Indexed: 02/24/2024] Open
Abstract
Slope deformation is one of the focal issues of concern during the normal operation and maintenance of the South-North Water Transfer Middle Route Project. To study the slope deformation evolution in the deep excavation section at the head of the canal, we applied 88 views of Sentinel-1A ascending image data from 2017 to 2019 and MT-InSAR(Multi-temporal InSAR) deformation monitoring technology to obtain long-time series deformation rates and cumulative deformation fields over the slope in the study area. Based on the analysis of the time-series monitoring data of the deformation field sample points, a LSTM (Long Short Term Memory Network) slope deformation predictive model was constructed to predict the slope deformation for the next 12 months at 12 sample points of the deep excavation slope. The impact of rainfall on slope deformation was investigated, and the reliability of the LSTM model was verified by using the measured data. The results show that the average annual deformation rate of the slope ranges from 10mm/a to 25mm/a, the maximum cumulative deformation is about 60 mm, and the slope of the excavated section is generally in an uplifted state. The rainfall-induced repeated uplift or subsidence of the canal slopes together with the peak deformation was closely related to the amount of rainfall during the wet season, and the longer the duration of the wet season, the more obvious the crest. Among the12 sample sites, the minimum and maximum deformation predicted using the LSTM model were 51.7 mm and 73.9 mm respectively, with the lowest correlation coefficient of 0.994 and the highest of 0.999. The maximum and minimum values of RMSE (Root Mean Square Error) were 4.4 mm and 3.6 mm respectively, indicating reliable prediction results. The results of the study can provide reference for the prevention and control of geological hazards in the South-North Water Transfer Canal.
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Affiliation(s)
- Laizhong Ding
- School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China
- Institute of Surveying Mapping and Geoinformation, Zhengzhou, 450007, China
| | - Chunyi Li
- School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China
| | - Zhen Lei
- Institute of Surveying Mapping and Geoinformation, Zhengzhou, 450007, China
| | - Changjie Zhang
- Institute of Surveying Mapping and Geoinformation, Zhengzhou, 450007, China
| | - Lei Wei
- Institute of Surveying Mapping and Geoinformation, Zhengzhou, 450007, China
| | - Zengzhang Guo
- School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China
| | - Ying Li
- Institute of Surveying Mapping and Geoinformation, Zhengzhou, 450007, China
| | - Xin Fan
- Institute of Surveying Mapping and Geoinformation, Zhengzhou, 450007, China
| | - Daokun Qi
- State Grid Henan Economic Research Institute, Zhengzhou, 450007, China
| | - Junjian Wang
- Institute of Surveying Mapping and Geoinformation, Zhengzhou, 450007, China
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