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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IOP Conference Series: Earth and Environmental Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.