基于无限边坡算法的降雨型滑坡预警系统的模型试验研究

滑坡预警系统是减少降雨型滑坡灾害的重要手段，其中针对具体单个滑坡失稳的预警系统，尽管具有较好的物理判断依据，但由于其构造机制较为复杂，目前仍然比较少见。基于无限边坡算法构建了较为简单的实验室降雨型滑坡技术性预警系统，并详细介绍了该系统的预警思路、预警时间计算原理、信息交流及反馈的实现。通过模型试验结果考察该预警系统在估算不同降雨强度及不同初始含水状态下滑坡失稳时间的表现，并对模型试验结果、预警能力进行分析。结果表明，基于无限边坡算法的预警系统的预警能力尽管受到降雨侵蚀、滑动面位置、初始含水状态的影响，但仍然具有较好的准确性。

Experimental study of early warning system model of landslide induced by rainfall based on infinite slope method

Landslide early warning system is an effective tool to reduce the rainfall induced landslide hazard. Warning system against single landslide has a huge potential based on reliable physical mechanism. However, the complicated system usually involves many parameters and algorithms so that it is not widely acknowledged until now. In our study, we constructed a relatively simple landslide technical warning system based on an infinite slope model in the laboratory. The details which include warning idea, calculation of warning time, and information transmission are introduced. Experimental results from physical model validated the performance of this technical warning system under the scenes of different rainfall intensities and the initial water contents. Although the errors caused by soil erosion, and uncertainty of slip surface, and disagreement of initial water content, the technical warning system is still proved to have a reliability in the evaluation of the physical landslide model failure.