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线性回归法在地下水水质分析中的应用
引用本文:白高峰,张燕君,宣学丽,张银妹,石睿. 线性回归法在地下水水质分析中的应用[J]. 地下水, 2014, 0(2): 14-16
作者姓名:白高峰  张燕君  宣学丽  张银妹  石睿
作者单位:石家庄经济学院,河北石家庄050000
摘    要:运用逐步线性回归的理论方法,分析研究区的地下水水质指标间的相关性,研究区属砷元素富集地区,对研究区建立砷含量与其他指标之间的线性回归模型,确定砷含量与HPO4-2、Fe、I-,Br-的含量相关性较显著。此模型可以用于研究区的地下水环境的规划、评价、研究工作中。

关 键 词:地下水水质    逐步线性回归分析

Application of Linear Regression in Groundwater Quality Analysis
BAI Gao - feng,ZHANG Yan- jun,XUAN Xue - li,ZHANG Yin - mei,SHI Rui. Application of Linear Regression in Groundwater Quality Analysis[J]. Groundwater, 2014, 0(2): 14-16
Authors:BAI Gao - feng  ZHANG Yan- jun  XUAN Xue - li  ZHANG Yin - mei  SHI Rui
Affiliation:( Shijiazhuang University of Economics, Shijiazhuang 050000 ,hebei)
Abstract:The paper tries to analyze the relationship between groundwater quality indexes in the studied area with Step- wise Linear Regression theory. As the studied area is with high level of arsenic, the paper builds a LRM ( Linear Regression Model) on the basis of the relationship between arsenic and other quality indexes. The model shows that content of arsenic has close relationship with the content of HPO4 -2, Fe, I- and Br-. The model can be applied to groundwater environment plan- ning, assessment and research.
Keywords:Groundwater quality  arsenic and Stepwise Linear Regession Analysis
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