Abstract
Using physical simulation models, rainfall-induced landslides have been simulated under various rainfall intensities. During these simulations, we have monitored the physical and mechanical behaviors of the landslide over the slip surface at different heights of the model slopes, as well as taking the whole slope to identify its deformation and failure processes. The results show that the rainfall duration corresponding to the initiation of the debris landslide and is exponentially related to rainfall intensity. Corresponding to the three intervals of the rainfall intensity, there are three types of slope failure modes: (1) the small-slump failure at the leading edge of the slope; (2) the block-slump failure but sometimes there are large blocks sliding down; and (3) the bulk failure but sometimes there is the block-slump failure. Based on the total rainfall-lasting time and the associated proportion of failed mass volume, the early warning of debris landslide can be classified into five grades, i.e., red, orange to red, orange, yellow to orange and yellow, which correspond to the five slope failure modes, respectively.
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References Cited
Baum, R. L., Godt, J. W., 2010. Early Warning of Rainfall-Induced Shallow Landslides and Debris Flows in the USA. Landslides, 7(3): 259–272. https://doi.org/10.1007/s10346-009-0177-0
Cascini, L., Cuomo, S., Pastor, M., et al., 2010. Modeling of Rainfall-Induced Shallow Landslides of the Flow-Type. Journal of Geotechnical and Geoenvironmental Engineering, 136(1): 85–98. https://doi.org/10.1061/(asce)gt.1943-5606.0000182
Guzzetti, F., Peruccacci, S., Rossi, M., et al., 2007. Rainfall Thresholds for the Initiation of Landslides in Central and Southern Europe. Meteorology and Atmospheric Physics, 98(3/4): 239–267. https://doi.org/10.1007/s00703-007-0262-7
Huang, Z. Q., Jiang, T., Yue, Z. Q., et al., 2003. Deformation of the Central Pier of the Permanent Shiplock, Three Gorges Project, China: An Analysis Case Study. International Journal of Rock Mechanics and Mining Sciences, 40(6): 877–892. https://doi.org/10.1016/S1365-1609(03)00061-3
Iqbal, J., Dai, F. C., Hong, M., et al., 2018. Failure Mechanism and Stability Analysis of an Active Landslide in the Xiangjiaba Reservoir Area, Southwest China. Journal of Earth Science, 29(3): 646–661. https://doi.org/10.1007/s12583-017-0753-5
Lainas, S., Sabatakakis, N., Koukis, G., 2016. Rainfall Thresholds for Possible Landslide Initiation in Wildfire-Affected Areas of Western Greece. Bulletin of Engineering Geology and the Environment, 75(3): 883–896. https://doi.org/10.1007/s10064-015-0762-5
Lin, W., Shunsaku, N. S., Ichiro, U., et al., 2015. Case Histories of Slope Failure and Landslide Disaster Prevention by Using a Low Cost Tilt Sensor Monitoring System. Engineering Geology for Society and Territory, 2: 631–635. https://doi.org/10.1007/978-3-319-09057-3_105
Ma, S. Y., Xu, C., 2019. Applicability of Two Newmark Models in the Assessment of Coseismic Landslide Hazard and Estimation of Slope-Failure Probability: An Example of the 2008 Wenchuan Mw 7.9 Earthquake Affected Area. Journal of Earth Science, 30(5): 1020–1030. https://doi.org/10.1007/s12583-019-0874-0
Melchiorre, C., Frattini, P., 2012. Modelling Probability of Rainfall-Induced Shallow Landslides in a Changing Climate, Otta, Central Norway. Climatic Change, 113(2): 413–436. https://doi.org/10.1007/s10584-011-0325-0
Peleg, N., Ben-Asher, M., Morin, E., 2013. Radar Subpixel-Scale Rainfall Variability and Uncertainty: Lessons Learned from Observations of a Dense Rain-Gauge Network. Hydrology and Earth System Sciences, 17(6): 2195–2208. https://doi.org/10.5194/hess-17-2195-2013
Qi, S. W., Xu, Q., Lan, H. X., et al., 2010. Spatial Distribution Analysis of Landslides Triggered by 2008.5.12 Wenchuan Earthquake, China. Engineering Geology, 116(1/2): 95–108. https://doi.org/10.1016/j.enggeo.2010.07.011
Sassa, K., Picarelli, L., Yin, Y. P., 2009. Monitoring, Prediction and Early Warning. Landslides—Disaster Risk Reduction. Berlin, Heidelberg: Springer Berlin, Heidelberg, 351–375. https://doi.org/10.1007/978-3-540-69970-5_20
Sun, H., Wong, H., Ho, K., 1998. Analysis of Infiltration in Unsaturated Ground. In: Proceedings of the Annual Seminar on Slope Engineering in Hong Kong, 101–109
Tessema, K. B., Haile, A. T., Amencho, N. W., et al., 2020. Effect of Rainfall Variability and Gauge Representativeness on Satellite Rainfall Accuracy in a Small Upland Watershed in Southern Ethiopia. Hydrological Sciences Journal, 1–15. https://doi.org/10.1080/02626667.2020.1770766
Towhata, I., 2008. Geotechnical Earthquake Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-35783-4
Tu, X. B., Kwong, A. K. L., Dai, F. C., et al., 2009. Field Monitoring of Rainfall Infiltration in a Loess Slope and Analysis of Failure Mechanism of Rainfall-Induced Landslides. Engineering Geology, 105(1/2): 134–150. https://doi.org/10.1016/j.enggeo.2008.11.011
Uchimura, T., Towhata, I., Wang, L., et al., 2015. Precaution and Early Warning of Surface Failure of Slopes Using Tilt Sensors. Soils and Foundations, 55(5): 1086–1099. https://doi.org/10.1016/j.sandf2015.09.010
Villarini, G., Mandapaka, P. V., Krajewski, W. F., 2008. Rainfall Sampling Uncertainties: A Rain Gauge Perspective. Journal of Geophysical Research, 113: D11102. https://doi.org/10.1029/2007jd009214
Wang, G. H., Sassa, K., 2007. On the Pore-Pressure Generation and Movement of Rainfall-Induced Landslides in Laboratory Flume Tests. Progress in Landslide Science, 2007: 167–181. https://doi.org/10.1007/978-3-540-70965-7_12
Wang, L., Shunsaku, N., Ichiro, S., et al., 2015. Case Histories of Slope Failure and Landslide Disaster Prevention by Using a Low Cost Tilt Sensor Monitoring System. Engineering Geology for Society and Territory. 2: 631–635. https://doi.org/10.1007/978-3-319-09057-3_105
Wu, Y. M., Lan, H. X., Gao, X., et al., 2015. A Simplified Physically Based Coupled Rainfall Threshold Model for Triggering Landslides. Engineering Geology, 195: 63–69. https://doi.org/10.1016/j.enggeo.2015.05.022
Xu, Q., Liu, H. X., Ran, J. X., et al., 2016. Field Monitoring of Groundwater Responses to Heavy Rainfalls and the Early Warning of the Kualiangzi Landslide in Sichuan Basin, Southwestern China. Landslides, 13(6): 1555–1570. https://doi.org/10.1007/s10346-016-0717-3
Xu, Q., Tang, M. G., Xu, K. X., et al., 2008. Research on Space-Time Evolution Laws and Early Warning-Prediction of Landslides. Chinese Journal of Rock Mechanics and Engineering, 27(6): 1104–1112 (in Chinese with English Abstract)
Yang, Z. J., Qiao, J. P., Uchimura, T., et al., 2017. Unsaturated Hydro-Mechanical Behaviour of Rainfall-Induced Mass Remobilization in Post-Earthquake Landslides. Engineering Geology, 222: 102–110. https://doi.org/10.1016/j.enggeo.2017.04.001
Yang, Z. J., Wang, L. Y., Qiao, J. P., et al., 2020. Application and Verification of a Multivariate Real-Time Early Warning Method for Rainfall-Induced Landslides: Implication for Evolution of Landslide-Generated Debris Flows. Landslides, 17(10): 2409–2419. https://doi.org/10.1007/s10346-020-01402-w
Yin, Y. P., Cheng, Y. L., Liang, J. T., et al., 2016. Heavy-Rainfall-Induced Catastrophic Rockslide-Debris Flow at Sanxicun, Dujiangyan, after the Wenchuan Ms8.0 Earthquake. Landslides, 13(1): 9–23. https://doi.org/10.1007/s10346-015-0554-9
Zhang, L. L., Zhang, J., Zhang, L. M., et al., 2011. Stability Analysis of Rainfall-Induced Slope Failure: A Review. Proceedings of the Institution of Civil Engineers—Geotechnical Engineering, 164(5): 299–316. https://doi.org/10.1680/geng.2011.164.5.299
Acknowledgments
This research is financially supported by the National Natural Science Foundation of China (Nos. 41807274, 41630640), the Sichuan Science and Technology Program (No. 2019E0R2230230), the Scientific Foundation of the Chinese Academy of Sciences (No. KFJ-STS-QYZD-172). In addition, we would like to thank the predecessors for the guidance, advice and help. For guidance and advice on the design of experiment we thank Siming He, Guoqiang Ou, Quancai Wang, for advice on the revision of the manuscript we thank Siming He and Wei Liu, and we thank experiment Zhanlu Li for help during implement of the experiments. Also thanks the innominate reviewers for the encouragement, serious comments, and guidance. The final publication is available at Springer via https://doi.org/10.1007/s12583-020-1398-3.
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Li, Q., Huang, D., Pei, S. et al. Using Physical Model Experiments for Hazards Assessment of Rainfall-Induced Debris Landslides. J. Earth Sci. 32, 1113–1128 (2021). https://doi.org/10.1007/s12583-020-1398-3
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DOI: https://doi.org/10.1007/s12583-020-1398-3