Open AccessSpecific features of potable water purification process
Author(s) -
Anastasiya Alekseeva,
I. Karpunina,
Vladimir Klyachkin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1889/3/032040
Subject(s) - potable water , turbidity , covariance matrix , process (computing) , variance (accounting) , limit (mathematics) , matrix (chemical analysis) , multivariate statistics , chlorine , covariance , work (physics) , computer science , statistics , environmental science , process engineering , mathematics , environmental engineering , engineering , chemistry , geology , chromatography , mechanical engineering , mathematical analysis , oceanography , accounting , organic chemistry , business , operating system
Under this consideration there is a process of potable water purification, where the chemical and physical characteristics (water turbidity and color, aluminum and chlorine content, etc) are monitored. To work with correlated characteristics it is necessary to apply to multivariate methods. The peculiarities of Hotelling charts plotting for individual observations are well known, but generalized variance charts plotting causes some problems connected with the assessment of covariance matrix for individual observations. Solving this problem one question arises: how often is it necessary to update the limit lines on the charts? We suggest applying to the test methods of the hypothesis on the equality of the mean.