基于支持向量机的绿潮灾害影响因素的权重分析  

Weight analysis of each influence factor of the green tide disaster based on SVM

作　　者：何世钧[1] 唐莹莉 张婷[1] 李煜[1] 谢圣东 于克锋[2] 何培民[2,3] 

机构地区：[1]上海海洋大学信息学院,上海201306 [2]上海海洋大学水产与生命学院,上海201306 [3]上海海洋大学海洋科学研究院,海洋生态环境与修复研究所,上海201306

出　　处：《中国环境科学》2015年第11期3431-3436,共6页China Environmental Science

基　　金：国家科技支撑计划项目课题(2012BAC07B03)

摘　　要：根据2012~2013年南黄海海域绿潮浒苔遥感监测分布面积数据及温度、天气状况、风向、风力、浪高5个影响绿潮浒苔扩散的气候因子,建立了相应的支持向量机回归模型.通过模型中各影响因素权重的变化分析绿潮灾害的发展过程,并与传统的单因素分析法进行对比,支持向量机回归更能准确得出各影响因素的权重及权重的变化规律.通过对权重变化规律的分析,给出在绿潮发生过程中漂浮、爆发和消亡阶段的划分依据.According to the green tide algae-Ulvaprolifera remote sensing data of the Southern Yellow Sea in 2012~2013, climate factors including temperature, weather, wind direction, wind force and wave height which effect the Ulvaproliferadiffusion, the corresponding support vector regression model（SVR） was established. By analyzing the development of the disaster using the model＇s weight change, the result of SVM was more accurately draw the right weight of each factor and weight conversion lawcompared with traditional single factor analysis method. Then through the analysis for the change rule of weight, give the division basis of the various stages of green tide.

关 键 词：支持向量机回归 影响因子 权重分析 灾害过程 

分 类 号：X55[环境科学与工程—环境工程]