Nguyen T.-SPham V.-ANguyen B.-VYang K.-H.KUO-HSIN YANG2022-03-222022-03-22202223662557https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119450844&doi=10.1007%2f978-981-16-7160-9_105&partnerID=40&md5=a985fead29ec06912605ff3b9702201ehttps://scholars.lib.ntu.edu.tw/handle/123456789/598560The 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. ? 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Coupled hydro-mechanical modelRainfall thresholdsRainfall-triggered landslidesLandslidesNumerical modelsSoil moistureCoupled hydro mechanicalsEarly warningFully-coupledHydro-mechanical modelingRainfall-inducedRainfall-triggered landslideShallow landslideWarning informationsRain[SDGs]SDG13[SDGs]SDG15conference paper10.1007/978-981-16-7160-9_1052-s2.0-85119450844