基于SVM的降雨型滑坡灾害影响因子研究  

Research on impact factors of precipitation-induced landslide disaster based on SVM

作　　者：卫星君[1] 肖敏敏[1] WEI Xing-jun;XIAO Min-min(School of Mechanical Electrical and Information Engineering,Shaanxi Energy Institute,Xianyang 712000,China)

机构地区：[1]陕西能源职业技术学院机电与信息工程学院,陕西咸阳712000

出　　处：《陕西能源职业技术学院学报》2019年第1期8-10,共3页

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,根据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,it bi-categorizes landslide disaster points according to the characteristics of rainfall during different periods by taking the southern part of Shaanxi province as the research object,collecting hourly and pre-integrated rainfall at the nearest regional station at the landslide hazard point,using SVM algorithm and selecting the appropriate decision function.It hopes to provide the basis for the study of regional rainfall landslide disaster by analyzing 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]