Slope displacement forecasting with limited field data using time series model

=0.96). These results indicate that learned precipitation-displacement relationships transfer robustly across slopes. Overall, this study shows that lightweight, efficient time-series models like TTM can deliver accurate, real-time slope forecasts for early warning in resource-constrained geotechnical monitoring applications.

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Publication Details

Journal
Scientific Reports
Published
2026-04-14
DOI
https://doi.org/10.1038/s41598-026-47917-5
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00

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article

Slope displacement forecasting with limited field data using time series model

Sadik Khan, Yifei Li, A. Q. M. Zohuruzzaman, Shams E. Shifat et al.
Scientific Reports
Landslides and related hazards
article

Slope displacement forecasting with limited field data using time series model

Sadik Khan, Yifei Li, A. Q. M. Zohuruzzaman, Shams E. Shifat, Iftakhar Al Mahmud
article en

Abstract

=0.96). These results indicate that learned precipitation-displacement relationships transfer robustly across slopes. Overall, this study shows that lightweight, efficient time-series models like TTM can deliver accurate, real-time slope forecasts for early warning in resource-constrained geotechnical monitoring applications.

Scientific Reports
Jackson State University (US)
National Science Foundation, U.S. Department of Transportation, Mississippi Department of Transportation, Division of Civil, Mechanical and Manufacturing Innovation
Openalex Percentile: Top 13%
Landslides and related hazards
DOIOpen Access PDFOpenAlex
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