基于GEP的库区滑坡体危险度模型挖掘及应用  

Mining and Application of Reservoir Landslide Risk Model Based on GEP

作　　者：何鲜峰[1,2] 李晓强 

机构地区：[1]黄河水利科学研究院,河南郑州450003 [2]水利部堤防安全与病害防治工程技术研究中心,河南郑州450003 [3]南京市水利规划设计院有限公司,江苏南京210006

出　　处：《人民黄河》2012年第3期91-94,共4页Yellow River

基　　金：国家重点基础研究发展计划项目(2007CB714100);黄河水利科学研究院院所长基金资助项目(HKY-JBYW-2009-2)

摘　　要：滑坡对大坝的危害程度受滑坡体滑落速度、滑坡体积、滑坡体至大坝的距离、滑坡发生时水库蓄水量等因素影响,通过分析库岸滑坡体影响大坝安全的因素,提出了滑坡危险度评价模型。基于基因自动编程算法,结合工程实际,挖掘了滑坡体影响大坝安全的危险度函数。算例分析结果表明:基于基因自动编程算法挖掘滑坡体危险度分析模型是一种比较有效的方法。The harm degree of landslide to dam is influenced by the landslide slip velocity, landslide volume, distance between the landslide and the dam, and the reservoir storage while landslide sliding. By analyzing the dam safety factors caused by reservoir bank landslide, landslide risk assessment model was proposed. And the risk function of dam caused by landslide was excavated based on GEP algorithm and engineering practice. The analysis results show that the landslide risk analytical mode based on GEP algorithm is a more effective method.

关 键 词：滑坡体 基因自动编程 危险度 模型挖掘 库岸滑坡 

分 类 号：P642.22[天文地球—工程地质学]