Sliding surface is one of the most important basic characteristics of landslide, but the determination of the specific depth position of landslide sliding surface is an important problem for the analysis of landslide characteristics. Firstly, the paper analyzes the depth position of the landslide sliding surface based on the survey method, the deep displacement monitoring method of rock and soil mass and the theoretical analysis method, and the data of the two methods are analyzed to avoid the influence of uncertain factors. Then it has established the parallel structure fusion network composed of three local detectors based on survey method, deep displacement monitoring method, and theoretical analysis method, and the detector has statistical independent and distributed observation under H0 and H1, it has established the parallel structure distribution detection model of information fusion theory according to the relevant data flow, and solved the Bayesian minimum risk criterion. The analysis result shows that: (1) Three detection methods, according to the Bayes risk function minimum rule, the "majority logic" rule is the best; (2) The three detection methods are analyzed by information fusion theory, and the sliding surface depth is distributed in 13-21.5m depth along with the terrain.

Yu Shang. Study on the Position Determination Method of Landslide Sliding Surface Based on the Theory of Data Correlation and Information Fusion. Academic Journal of Architecture and Geotechnical Engineering (2024) Vol. 6, Issue 3: 59-67. https://doi.org/10.25236/AJAGE.2024.060310.

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