基于SVM的降雨型滑坡灾害影响因子研究  

Research on Impact Factors of Rainfall Landslide Disaster Based on SVM

作　　者：卫星君[1] 赵晓萌[2] 肖敏敏[1] Wei Xingjun;Zhao Xiaomeng;Xiao Minmin(Shaanxi Energy Institute,Xianyang Shaanxi 712000,China;Shaanxi Provincial Climate Center,Xi'an Shaanxi 710014,China)

机构地区：[1]陕西能源职业技术学院,陕西咸阳712000 [2]陕西省气候中心,陕西西安710014

出　　处：《信息与电脑》2018年第16期32-33,共2页Information & Computer

基　　金：陕西能源职业技术学院科研项目(项目编号:17KYP02)

摘　　要：滑坡灾害严重影响社会经济的发展,以陕南地区为研究对象,采集滑坡灾害点最近区域站逐小时和前期综合雨量,使用SVM算法,选择合适的决策函数,以不同时段降雨为特征对滑坡灾害点进行两次分类。分析降雨对滑坡灾害的影响,为地区降雨型滑坡灾害研究提供依据。Landslide disaster seriously affects social and economic development,the southern part of Shaanxi as the research object,Hourly and pre-integrated rainfall is collected at the nearest regional station at the landslide hazard point,SVM algorithm is used,the appropriate decision function is selected,landslide hazard points are divided into two categories based on rainfall during different periods.The basis for the study is provided as a regional rainfall landslide disaster to analysis of the impact of rainfall on landslide disasters.

关 键 词：降雨 滑坡灾害 SVM 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]