主成分分析法综合评价我国13个大气腐蚀站点的气候因素

中国腐蚀与防护学报, 2009, 29(5): 388-393. doi: 1005-4537（2009）05-0388-06

主成分分析法综合评价我国13个大气腐蚀站点的气候因素

贾志军赵泉林董超芳李晓刚

100083. 100083

Centre of Corrsion and Protection

University of Science and Technology Beijing

Beijing 100083

基金项目: 国家自然科学基金项目(50499333)和国家科技基础条件平台建设项目（2005DKA10400）资助

关键词：主成分分析 , weathering,correlation matrix , evaluation , null

EVALUATION OF WEATHERING CONDITIONS OF 13 CITIES IN CHINA BY PRINCIPAL COMPONENT ANALYSIS

JIA Zhijun ZHAO Quanlin DONG Chaofang LI Xiaogang

Keywords： principal component analysis , 气候 , 相关系数 , 综合评价

应用主成分分析法对我国13个大气腐蚀试验站点的气候因素的相关性进行了分析，并且根据各站点的主成分得分，得出各试验站的主要气候影响指标并对气候环境综合归类。并与我国的主要气候类型分类进行对比，证明对我国13个大气腐蚀试验站点按气候因素分类的正确性，验证各站点选址的气候典型，涵盖我国主要气候类型。可以依据上述各站点的主要自然环境影响因素指导环境试验，研究不同环境因素对材料性能的影响。

Based upon the principal component analysis, the correlation between the weathering conditions was investigated. With the correlation matrix, the primary factors of weathering condition were selected. And by the component matrix from component analysis, the 13 cities were classified to six groups and the classification was consistent with the prime climate type of China. According to the classification, we can supervise the aging experiment under nature weathering and investigate the effects of the weathering on the properties of materials.

参考文献

[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
[50]
[51]
[52]
[53]
[54]
[55]
[56]
[57]
[58]
[59]
[60]
[61]
[62]
[63]
[64]
[65]
[66]
[67]
[68]
[69]
[70]
[71]
[72]
[73]
[74]
[75]
[76]
[77]
[78]
[79]
[80]
[81]
[82]
[83]
[84]
[85]
[86]
[87]
[88]
[89]
[90]
[91]
[92]
[93]
[94]
[95]
[96]
[97]
[98]
[99]
[100]
[101]
[102]
[103]
[104]

上一张下一张

计量

下载量()
访问量()

作者相关

文章评分

您的评分：
1

0%
2

0%
3

0%
4

0%
5

0%

材料期刊网