多源数据滑坡时空演化规律研究 --以黄泥坝子滑坡为例.

Landslide evolution is a long‐term and complex process. Geo‐hazards have different characteristics in various data, and have certain applicability in different stages of landslide. This paper applies different characteristics and applicability of various data sources in landslide by the multi‐source data fusion method. The deformation and failure characteristics and temporal and spatial evolution law of Huangnibazi landslide during its dynamic evolution from pre‐sliding to mid‐sliding to post‐sliding are studied. The results show that the deformation and failure process of Huangnibazi landslide can be divided into four stages: startup stage, accelerated deformation (accelerated sliding) stage, front expansion (decelerated sliding) stage and gradual stabilization stage. Huangnibazi landslide is a creep ‐ pull ‐ split landslide formed under the influence of self‐weight, rainfall infiltration, earthquake and vibration caused by human engineering activities. The application of various data in different stages of landslide is summarized: interferometric synthetic aperture radar(InSAR) technology, optical image and topographic data are used to determine potential landslide body before sliding. Optical remote sensing image is used to observe the overall deformation and trend of landslide accumulation body during sliding. Global positioning system (GPS) is used to continuously observe local deformation after sliding. Field investigation is used to determine the characteristics of geological hazard body. [ABSTRACT FROM AUTHOR]