Probability analysis of water quality by turbidity

International Scientific Conference «AGRITECH-2019: Agribusiness, Environmental Engineering and Biotechnologies»

农业科学;生态环境科学;生物科学

Yalaletdinova, A.V.^1 ; Beloliptsev, I.I.^2 ; Galimova, Y.O.^3 ; Yu Vozhdaeva, M.^1^4 ; Kantor, E.A.^1

Ufa State Petroleum Technological University, 1 Kosmonavtov st., Ufa

450062, Russia^1

Financial University under the Government of the Russian Federation, Ufa Branch, 69/1 Mustaja Karima st, Ufa

450015, Russia^2

National Library of Bashkortostan, 4 Lenina st., Ufa

450077, Russia^3

MUE Ufavodokanal, 157/2 Rossiyskaya st., Ufa

450098, Russia^4

关键词: Cubic polynomial functions;    Empirical distribution functions;    Gamma distribution;    Kolmogorov-Smirnov test;    Order statistics;    Probability analysis;    Seasonal factors;    Turbidity values;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/315/6/062019/pdf
DOI  :  10.1088/1755-1315/315/6/062019

来源: IOP

【 摘 要 】

The distribution of turbidity values in given sample is analyzed. The results demonstrated that the nature of the distribution of turbidity values during the year largely depends on the seasonal factor, hence the analysis of the distribution of turbidity is performed separately for each month. Order statistic (variation series) is computed and an empirical distribution function of turbidity values is derived. It is concluded, that the distribution of turbidity in given water sample differs from normal, log-normal and gamma distributions. However, it can be described with sufficient accuracy by a cubic polynomial function. The turbidity distribution hypothesis is tested by the Kolmogorov-Smirnov test. The water turbidity distribution function predicts the probability of exceeding the specified values of turbidity and enables numerical assessment of its likelihood.