水文地质工程地质2012，Vol.39Issue(5)：26-30,5.
基于SVM的隧道涌水来源识别
Source identification of water inrush in tunnel based on SVM
摘要
Abstract
Source identification of water inrush in tunnel is quite important to water flow predication and prevention and cure on groundwater inundation. In order to offer scientific reference to the departments of construction and management, Support Vector Machines is introduced to build a model to identify source of groundwater inrush in tunnel, based on the chemical information of groundwater inrush in tunnel and its possible sources. Application of this model to the Tongluoshan tunnel in Dianjiang to Linshui expressway reveals that the karst water-bearing system in the Jialingjiang formation and Leikoupo formation is the major supplier rather than the water-bearing system in the factured Xujiahe formation, due to the difference of the water abundance. This conclusion corresponds to the phenomena reflected by dynamic monitoring of surface water, wells and springs, as well as water flow from mines, indicating that SVM is valuable to source identification of water inrush in tunnel.关键词
支持向量机/来源识别/隧道涌水/动态监测Key words
Support Vector Machines/ source identification/ water inrush in tunnel/ dynamic monitoring分类
矿业与冶金引用本文复制引用
刘建,刘丹..基于SVM的隧道涌水来源识别[J].水文地质工程地质,2012,39(5):26-30,5.基金项目
铁道部科技研究开发计划重点课题(2010Z001-D) （2010Z001-D）
