摘要
为了快速、有效地提取滑坡预报实时判据,本文以数据挖掘中的关联规则算法为基础,提出一种利用动态监测对滑坡相关监测指标进行充分挖掘的方法,并根据堆积层滑坡的演化机制和形成机理,结合地质灾害数据库基本特性,分析了三峡库区白家包滑坡相关数据的动态特征,获取了与该滑坡变形相关性较大的实时特征因子。研究结果表明:该方法执行效果良好,能在短时间内提取与滑坡破坏变形阶段相关的主要诱发因子,可为滑坡地质灾害实时预测提供准确的预报判据。
In order to quickly and effectively extract real-time criterion of landslide,this paper puts forward a method of using dynamic monitoring to fully tap the landslide monitoring indicators based on the association rules of data mining theory.According to formation mechanism and evolution mechanism of accumulation landslide and in combination with disaster database basic features,the paper analyses dynamic characteristics of data to obtain real-time characteristic factors having large correlation with landslide deformation.Experimental results show that the algorithm implementation effect is good,which can induce main factors associated with the destruction of landslide deformation given in a relatively short period of time.
出处
《安全与环境工程》
CAS
北大核心
2014年第6期47-52,共6页
Safety and Environmental Engineering
基金
国家高技术研究发展计划(863计划)项目(2012AA121303)
国土资源部重大科学研究项目(SXKY3-3-2)
国家重点基础研究发展计划(973计划)项目(2011CB710601)
关键词
关联规则
滑坡判据
动态监测
快速提取
association rules
landslide criterion
dynamic monitoring
rapid extraction
