Abstract
A novel road slope monitoring and early warning system was developed by integrating 3D image recognition technology and 3D numerical modeling technology for monitoring and predicting slope deformation. It was applied for monitoring and early warning for a road slope in Nanping, Fujian, China. The system consists of equipment information management, data management, forecast and early warning, information release and model visualization modules. It can carry out point-surface-body monitoring, 3D model visualization, damage trend prediction and early warning of landslides. From year 2022, three rainfall events (January 22:19.8 mm/day, April 30:29.2 mm/day, and May 27:31.8 mm/day) were predicted and verified using this system. The results show that: (1) The displacement results of the severely deformed region predicted by numerical simulation are similar to the displacement results of image recognition. With the increase in rainfall intensity, the surface layer of some areas shed 0.18–1.1 m, and the error was within 15%; (2) The predicted position of the deformation area is consistent with the position identified by the image, all of which are at the top of the slope, and a small part is on the right side of the middle of the slope; (3) The fluctuation range of the displacement tangent angle of the three rainfall events is 0–44.32°, the slope is relatively stable as a whole, and it is in the stage of no warning. The successful implementation could provide a reference for slope disaster monitoring and early warning.
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The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.
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Funding
This work was supported by the Outstanding Youth Fund of Jiangxi Province [No. 20212ACB214005], the Science and Technology Cooperation Program of Fujian Academy of Sciences [No. 2022T3051], the Transportation Science and Technology Project of Fujian Province [No. 201911], and the National Natural Science Foundation of China [No. 52064016].
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XG: conceptualization, methodology, software, investigation, writing—original draft. WN: conceptualization, funding acquisition, resources, supervision, writing—review & editing. TZ: software, data curation and analysis. JG: investigation, funding acquisition, data analysis and interpretation. CY: visualization, data curation, software. SZ: design, data processing, formal analysis.
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Gu, X., Nie, W., Geng, J. et al. Road slope monitoring and early warning system integrating numerical simulation and image recognition: a case study of Nanping, Fujian, China. Stoch Environ Res Risk Assess 37, 3819–3835 (2023). https://doi.org/10.1007/s00477-023-02482-5
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DOI: https://doi.org/10.1007/s00477-023-02482-5