Probabilistic assessment of water quality by total hardness

Abstract

Monitoring of the total water hardness in the river was carried out by means of mathematical modeling and statistical processing. The distribution laws of the total hardness are found separately for each month, which more accurately reflects the impact on the seasonality index. It is determined that the obtained empirical distribution functions of the indicator do not correspond to normal and log-normal distributions, but are quite accurately described by polynomials, which is confirmed by Kolmogorov’s goodness-of-fit criterion. The resulting distribution functions of the total hardness of water make it possible to predict the probabilities that the indicator will take certain values.