Abstract: In an attempt to monitor the trend of landside stability rapidly and effectively, 976 landslides along the Yangtze River in the Three Gorges Reservoir Area were selected as the objects of study. Eight categories of factors which have greatest impacts on the stability of landslide were determined as basic indicators. The features of attribute data and spatial data were mined using the algorithm of association rules to build a multidimensional criterion. Furthermore, the algorithm flow was established with vector data as input stream, and the multidimensional criterion was processed by using spatial function. The stability conditions of 376 landslides were predicted using the proposed method. Results demonstrated that hazards are more likely to occur when landslides are located in soft-and-hard intercalated rock strata and [0.1, 117.90) m from rivers with a slope gradient ranging from 15° to 45°. The proposed estimation method is of good adaptability with a comprehensive precision reaching 82.45%. The method makes rapid monitoring possible by generating zoning map of landslide stability through integrating vector data input and stability evaluation.

Key words: landslide, multidimensional criterion, vector database, stability evaluation, rapid monitoring