为了快速、有效监测滑坡稳定性变化趋势,以三峡库区976个长江沿岸滑坡为研究对象,将与滑坡稳定性有较大影响的8类因子作为研究的基本指标,利用关联规则算法挖掘属性数据与空间数据的特征形成多维判据。在以矢量数据为输入流的滑坡数据快速监测过程中构建算法流程,调用空间函数处理多维判据并对376处实测滑坡的稳定性状况进行了预测研究。研究结果表明:当滑坡所在区地层岩性为软硬相间、坡度在[15°,45°]范围内、距河距离在[0.1~117.90) m时越可能发生危险;基于关联规则和矢量数据库理论的滑坡稳定性判别流程具有较好的适用性,综合正确率达82.45%。研究成果将地灾矢量数据的入库与稳定性评判统一起来,第一时间生成滑坡稳定性分区图,使快速监测成为可能。
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.
关键词
滑坡 /
多维判据 /
矢量数据库 /
稳定性评价 /
快速监测
Key words
landslide /
multidimensional criterion /
vector database /
stability evaluation /
rapid monitoring
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基金
国家重点研发计划课题项目(2017YFB0503701);湖北省自然科学基金青年基金项目(2019CFB173);湖北省教育厅中青年人才项目(Q20191504)
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