CAJ | 학술논문

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。
근거2012~2013년남황해해역록조호태요감감측분포면적수거급온도、천기상황、풍향、풍력、랑고5개영향록조호태확산적기후인자，건립료상응적지지향량궤회귀모형。통과모형중각영향인소권중적변화분석록조재해적발전과정，병여전통적단인소분석법진행대비，지지향량궤회귀경능준학득출각영향인소적권중급권중적변화규률。통과대권중변화규률적분석，급출재록조발생과정중표부、폭발화소망계단적화분의거。
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 theUlvaprolifera diffusion, 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.