摘要
为了研究土壤盐分离子对浸提液电导率的敏感性,首先采用灰色关联分析法对影响土壤浸提液电导率的盐分离子进行初步分析,之后采用缺省因子法与主成分分析法进一步分析检验。结果表明:Cl-、Na+这两种离子对土壤浸提液电导率的变化最为敏感;灰色关联分析法所得结果与基于缺省因子法的主成分分析模型结果基本一致;影响土壤浸提液电导率的7种盐分离子之间存在多重共线性,应用主成分回归方法建立的电导率预测模型能够对实测变量作出合理的模拟。
A study was conducted on the sensitivity of soil salt ions to the electrical conductivity of soil extract to promote technical progress in improved alkaline field and salt-water movement theory in depth. A preliminary qualitative analysis was first made by applying grey relational analysis in electrical conductivity of soil extract and salt ions, and then by default factor analysis and principal component analysis for further authentication. The results show that： C1- and Na＋ ions are mors sensitive than any other ions to the electrical conductivity of soil extract; the results of gray relational analysis method are the same as the results of principal component analysis model based on the default factor method ; the seven salt ions have multicollinearity on electrical conductivity of soil extract, and the conductivity prediction model based on principal component regression method can make reasonable simulation of variables. This provides a new way for further study on salt - water movement theory.
出处
《干旱地区农业研究》
CSCD
北大核心
2011年第6期143-146,178,共5页
Agricultural Research in the Arid Areas
基金
新疆农业大学校前期资助课题(XJAU200921)
教育部/新疆农业大学棉花工程研究中心项目
新疆维吾尔自治区高校科研计划项目(XJEDU2010S14)
关键词
盐分离子
土壤浸提液电导率
敏感因子
主成分分析
灰色关联分析
salt ion
electrical conductivity of soil extract
sensitive factor
principal component analysis
grey relational analysis
