A novel computer-aided multivariate water quality index

A computer-aided multivariate water quality index is developed based on partial least squares (PLS) regression. The index is termed as the partial least squares water quality index (PLS-WQI). Briefly, a training set was computationally generated based on the guideline of National Water Quality Stand...

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Bibliographic Details
Main Authors:	Jaafar, M.Z (Author), Lau, S. (Author), Ling, T.Y (Author), Sim, S.F (Author)
Format:	Article
Language:	English
Published:	Kluwer Academic Publishers 2015
Subjects:	algorithm ammonia Article biochemical oxygen demand chemical oxygen demand computer aided design computer simulation Computer Simulation Continuous variables dissolved oxygen electric conductivity environmental monitoring Environmental Monitoring fecal coliform guideline Large dataset Least squares approximations least squares method Malaysia methods Multivariate multivariate analysis National Water Quality Standards for Malaysia nitrogen Partial least square (PLS) partial least squares regression Partial least squares regression pH prediction Quality assurance reliability reproducibility salinity standards statistics and numerical data Tedious calculation turbidity Water Pollutants Water Pollution water quality Water quality Water Quality Water quality index Water quality indexes Water quality standard water standard water supply
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A novel computer-aided multivariate water quality index

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