Multi-index monitoring and comprehensive early warning of landslides in response to rainfall: An example of the Luo'ao landslide in southern Jiangxi Province

doi:10.13745/j.esf.sf.2021.7.17

Abstract

Abstract: Rainfall and displacement are currently the two most commonly used indicators for rain-induced landslide monitoring and warning. However, the rainfall and displacement measurements can only reflect the effect of rainfall on landslide deformation, but they cannot reveal historic landslides in response to rainfall as determined by the inherent physical and mechanical properties of these slides. Therefore, in addition to rainfall and displacement monitoring, one can establish a monitoring system that includes indicators such as water content and matric suction to monitor the dynamic evolution of historical landslides. Such a monitoring system will certainly become the most effective means to grasp the inherent trends in landslide evolution and to develop more accurate criteria for comprehensive early warning of landslides. In this paper, we conducted a demonstrative study on the multi-indicator monitoring and comprehensive early warning for a typical rainfall-type landslide, the Luo'ao landslide in southern Jiangxi Province. The results are: (1) Multiple indicators such as the moisture level, matric suction and temperature in the surface soil produced regular dynamic response to rainfall. (2) With the continuation of rainfall, the volumetric water content and matric suction strength changed after a significant delay since the onset of rainfall. (3) The rate of changes of both volumetric water content and matric suction strength showed significant positive correlation with slip displacement. (4) The soil temperature distribution pattern was influenced by both atmospheric temperature and volumetric water content. Based on the analysis of the measured landslide slope stability, a multi-indicator early warning method was established on the basis of correlating actual rainfall infiltration depth and landslide slope stability. The key indicators are daily rainfall, rate of volumetric water content increase, rate of matric suction strength decrease and displacement velocity. Furthermore, a comprehensive early warning system with defined warning thresholds for key indicators is proposed, aiming to provide a new model for accurate early warning of rainfall-induced landslides.

Key words: key index monitoring, volumetric water content, matric suction, displacement, integrated warning

CLC Number:

P642.22
X141

LI Gao, TAN Jianmin, WANG Shimei, LIN Xu, CHEN Yong, WANG Li, GUO Fei. Multi-index monitoring and comprehensive early warning of landslides in response to rainfall: An example of the Luo'ao landslide in southern Jiangxi Province[J]. Earth Science Frontiers, 2021, 28(6): 283-294.

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