摘要
主成分分析法能够在保证原始数据信息损失最小的情况下,以少数的综合变量取代原有的多维变量,使数据结构大为简化,并且客观地确定变量权数,避免了主观随意性.应用主成分分析法对长春市地面水环境进行评价,且与其它评价方法相比较,结果显示主成分分析法更客观且指导性较强,是一种行之有效的水质评价方法.通过主成分分析进行水质评价,可为水资源规划、利用、开发和环境系统优化提供更为客观的参考依据.
The principal component analysis could substitute a small number comprehensive variable for original multidimensional variable and obviously simplify data structure in the precondition of minimizing loss of original data information. The principal component analysis could objectively give weight and avoid subjective random problem. The principal component analysis was used to evaluate the surface water environment and compared with others evaluation methods. The results shows; The principal component analysis is more objective and a efficient method of water quality evaluation. By means of the principal component analysis offers more objective references for water resources planning, utilizing, exploitation and environmental systems optimization.
出处
《数学的实践与认识》
CSCD
北大核心
2008年第8期85-90,共6页
Mathematics in Practice and Theory
基金
安徽科技学院自然科学基金项目(2006YZ005)
关键词
主成分分析
水质评价
评价方法
principal component analysis
water quality evaluation
evaluation method
