Abstract：Current early warning models for slope safety in hydropower engineering exhibit certain limitations，such as insufficient consideration of multi-point comprehensive analysis and neglect of stability differences across various slope regions. To address these issues，this study approaches from the perspectives of slope structural characteristics and overall stability. By employing multi-data fusion technology and integrating actual engineering practices，we develop early warning indicators. Firstly，the concept of“Safety Stability Rate”is introduced to quantify the impact of rock mass structural characteristics on slope stability. Secondly，a method for converting Safety Stability Rate to Hazard Weight is established，and a combined formula for Hazard Weight and Copula function is derived. Finally，an overall safety early warning indicator based on the Copula function for the operational period of slopes in hydropower engineering is proposed. Engineering case studies demonstrate that the early warning indicators can reflect the structural characteristics of rock slopes，indicate the overall trend of multi-point residuals，and ultimately reflect the overall stability of slopes in hydropower engineering. The early warning monitoring system provides theoretical support for evaluating the overall stability of slopes in hydropower engineering.
孙杰涛，李海枫. 基于多元数据融合的枢纽区边坡整体安全预警指标研究[J]. 岩石力学与工程学报, 2024, 43(9): 2242-2256.
SUN Jietao，LI Haifeng. Research on overall safety early warning indicator for hydropower project slopes based on muti-data fusion method. , 2024, 43(9): 2242-2256.
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2024, Vol. 43 
