Early warning model and model test verification of rainfall-induced shallow landslide

An early warning system can effectively reduce the damage caused by landslides. To study the change law of hydrological indexes with the evolution process, a rainfall-induced landslide model test was carried out. The changes of volumetric moisture content, matrix suction, and pore water pressure with time were obtained. It was shown that the volumetric moisture content maintained the maximum value before failure, and the pore water pressure increased; at the same time, the failure was accompanied by a sudden change of volumetric moisture content. Pore water pressure and volumetric moisture content are usually used as indicators for landslide early warnings. In many cases, a slope stability model based on pore water pressure is better than that based on volumetric moisture content. However, heavy rainfall sometimes causes failure after a small amount of positive pore water pressure forms. It is difficult to explain this instability using a traditional slope stability model; therefore, we established a model that focused on volumetric moisture content and its variation over time and early warning thresholds for two landslides with different permeabilities. The early warning model proposed in this study can be applied reliably for landslides not triggered by positive pore water pressure and provide early warning for slope instabilities triggered in saturated conditions or with low pore water pressure.

Automated summary

An early warning system plays an important role in reducing the damage caused by landslides. In this study, a model test was conducted to investigate the change pattern of hydrological indexes, and a new early warning model based on volumetric moisture content was proposed. This model can provide reliable predictions for slope instabilities triggered under different conditions.