Ground Water Quality and Multivariate Statistical Methods

被引：12
作者：
Viswanath N.C. [1 ]
Kumar P.G.D. [2 ]
Ammad K.K. [2 ]
Kumari E.R.U. [3 ]
机构：
[1] Department of Mathematics, Government Engineering College, Thrissur, Thrissur-9, Kerala
[2] Department of Civil Engineering, Government Engineering College, Kozhikode, Kozhikode, Kerala
[3] Department of Chemical Engineering, Government Engineering College, Kozhikode, Kozhikode, Kerala
来源：
Environmental Processes | 2015年 / 2卷 / 2期
关键词：
Ground water monitoring; Multiple linear regression; Principal component analysis; Statistical modeling; Structural equation modeling;
D O I：
10.1007/s40710-015-0071-9
中图分类号：
学科分类号：
摘要：
In this paper, an attempt was made to study the physico-chemical properties of ground water of the Kozhikode district, Kerala, India, by applying multivariate statistical methods on samples collected from various parts of the study area. Combining principal component analysis and multiple linear regression (MLR), we developed a regression model for predicting total dissolved solids (TDS) in terms of calcium, magnesium, nitrate, sodium, chloride, potassium, bicarbonate and sulfate. This study revealed that statistically, calcium is the most significant component of TDS in the study area. The relevance of the regression model with respect to experimental data was further evaluated by applying structural equation modeling (SEM). © 2015 Springer International Publishing Switzerland.
引用
收藏
页码：347 / 360
页数：13
相关论文
共 47 条
  • [1] Ali M.H., Fundamentals of Irrigation and On-farm Water Management, 1, (2010)
  • [2] Amiri B.J., Nakane K., Modeling the linkage between river water quality and landscape metrics in the Chugoku district of Japan, Water Resour Manag, 23, pp. 931-956, (2009)
  • [3] Eaton A.D., Clesceri L.S., Rice E.W., Greenberg A.E., Standard methods for the examination of water and wastewater, American Public Health Association, American Water Works Association and Water Environment Federation, (2012)
  • [4] Ashley R.P., Lloyd J.W., An example of the uses of factor analysis and cluster analysis in ground water chemistry interpretation, J Hydrol, 39, pp. 355-364, (1978)
  • [5] Barrett P., Structural equation modeling: Adjudging model fit, Personal Individ Differ, 42, 5, pp. 815-824, (2007)
  • [6] Bentler P.M., Causal modeling via structural equation systems, Handbook of Multivariate Experimental Psychology, pp. 317-335, (1988)
  • [7] Bentler P.M., Comparative fit indexes in structural models, Psychol Bull, 107, 2, pp. 238-246, (1990)
  • [8] Bhardwaj V., Singh D.S., Singh A.K., Water quality of the Chhoti Gandak River using principal component analysis, Ganga Plain, India, J Earth Syst Sci, 119, 1, pp. 117-127, (2010)
  • [9] Bollen K.A., Overall fit in covariance structure models: Two types of sample size effects, Psychol Bull, 107, 2, pp. 256-259, (1990)
  • [10] Byrne B.M., Structural Equation Modeling with AMOS, (2009)
12345