滑坡变形的模式识别

Model Recognition of Landslide Deformation

探讨利用变形模式的拓扑约束识别方法来识别滑坡块体的变形模式及其应用问题 ,并根据GPS多期监测数据对云阳宝塔滑坡体进行了块体识别与分析。实例证明 ,该方法对滑坡体的块体及块体变形参数的识别是有效的 ,其结果对于滑坡体的滑带弱化的扩展过程的认识及稳定性分析与监测系统、滑坡整治系统的设计具有一定的价值。

This paper proposes a method,topologically constrained recognition method (TCRM) which can simultaneously recognize the blocks and their deformation parameters of a landslide by using only the surface displacements.In TCRM,the blocks are recognized according to whether the displacements on the blocks fit their deformation model properly.The judgment is a recursive process.The recognizing process is constrained by a topological matrix.As a statistical model recognition method,its idea may be used to recognize the blocks of any other objects only if each block has continuous linear characteristics.The recognizing process is accomplished automatically. In this paper,TCRM is first used to deal with landslide deformation model recognition.Some problems in practical use ,such as the block concept,3D model and recognition approach,are discussed in detail.A famous landslide,called Baota Landslide,which lies in the Three Gorges Reservoir bank,is analyzed.The surface deformation of the Baota Landslide has been observed since 1997 using GPS receiver.We use the series observation data of six epochs to recognize the sliding block structure of every observation term.