To improve early warnings for landslides driven by reservoir fluctuations and rainfall, this study introduces an adaptive computer modeling framework. By embedding environmental forces into the analysis, our method achieves sub-millimeter precision. Validated with ten years of field data, this tool detects landslide acceleration earlier to protect communities.

We developed a correction model based on laboratory data, taking into account elements such as fluid density and viscosity. Our model showed an ideal accuracy and outperformed other models. When applied in real situations, it significantly reduced the differences in calculated stresses for different fracturing fluids.

We have developed a novel flexible measurement array for deep landslide displacement and measurement processes, which enables higher accuracy in full-hole multidimensional deformation measurement. It provides a more comprehensive monitoring tool for disaster prevention and reduction.

We estimate the slip susceptibility of the faults in the Yishu fault zone based on slip tendency analysis based on coupled tectonic stress profiles. Results show that the overall stress accumulation degree is relatively low. The overall seismic risk is not high in the study area, while a transition zone of seismic risk from medium to low exists in the southeastern part of Yishu fault zone. These results provide geomechanical evidence for evaluating the regional crustal dynamics.