摘要
应用主分量方法对广东年降水量进行统计分析,结果表明,它对年降水场的逼近收剑性比较快,前5项特征值占年降水总方差的78.7%,即前5项特征向量已可反映年降水场最重要的特征.通过主分量和特征向量的配合,将逐年年降水场进行了分型,较清楚地显示出年降水量的气候背景.
To make the statistical analysis of annual rainfall in Guangdong, we use the method of principal component in this paper. The results show that, the convergency is very well in proximation of variance for the field of annual rainfall, the first five eigenvalues represent 78 7 percent in total variances, i.e. the first five eigenvectors represent the most important characteristics of annual rainfall. Combining the principal component and eigenvector, we classify the pattern of annual rainfall year by year. It represents obviously the background of climate of annual rainfall.
出处
《中山大学学报(自然科学版)》
CAS
CSCD
北大核心
1998年第S2期130-134,共5页
Acta Scientiarum Naturalium Universitatis Sunyatseni
关键词
广东年降水量
旱涝
类型
主分量分析
annual rainfall in Guangdong, drought and flood, pattern, principal component analysis