Establishing Thresholds for Rainfall‐Induced Shallow Landslides Using Fully Coupled Hydro-Mechanical Model

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CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 203))

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Abstract

The identification of landslide-triggering rainfall thresholds plays an important role in providing early warning information and implementing emergency remedial actions before landslide occurs. In this study, fully coupled hydro-mechanical model was conducted to establish intensity–duration (I-D) thresholds for shallow landslides upon rainfall. The numerical model was first verified against measurements obtained from a full-scale field test for slope. The simulation result shows good agreement with the experimental results, indicating that the proposed numerical model is appropriate for use in the simulation of unsaturated soil slope behavior subjected to rainfall infiltration. This approach was then used to determine new I-D thresholds for shallow landslides considering the different hydrological conditions. Finally, the critical rainfall threshold curves obtained for the study were compared with shallow landslides historic data. The result revealed that antecedent soil moistures through initial soil suctions is a critical factor affecting the I-D thresholds. The majority of landslide data recorded from literature through case studies located within the proposed thresholds corresponding initial suction of 2–10 kPa. The findings of this study can be implemented into the current activities for predicting the occurrence of shallow landslides in the future in Vietnam.

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Acknowledgements

This study was funded by the National University of Civil Engineering (NUCE), Viet Nam under grant number 18-2021/KHXD-TĐ. The financial supports are gratefully acknowledged.

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Correspondence to Thanh-Son Nguyen .

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Nguyen, TS., Pham, VA., Nguyen, BV., Yang, KH. (2022). Establishing Thresholds for Rainfall‐Induced Shallow Landslides Using Fully Coupled Hydro-Mechanical Model. In: Ha-Minh, C., Tang, A.M., Bui, T.Q., Vu, X.H., Huynh, D.V.K. (eds) CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure. Lecture Notes in Civil Engineering, vol 203. Springer, Singapore. https://doi.org/10.1007/978-981-16-7160-9_105

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  • DOI: https://doi.org/10.1007/978-981-16-7160-9_105

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