| Issue |
E3S Web of Conf.
Volume 390, 2023
VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023)
|
|
|---|---|---|
| Article Number | 05002 | |
| Number of page(s) | 8 | |
| Section | Chemical, Ecological, Oil-and-Gas Engineering and Natural Resources | |
| DOI | https://doi.org/10.1051/e3sconf/202339005002 | |
| Published online | 01 June 2023 | |
Modeling the content of chloroform in drinking water infiltration intake by periods of the annual cycle: low-water and permanent watercourse
Ufa State Petroleum Technological University, Ufa, Russia
* Corresponding author: physicspoems@yandex.ru
The results of a study to find a relationship between the chloroform content in drinking water and the parameters characterizing water quality over an eighteen-year period of the infiltration water intake operation are presented. To increase the reliability of the model, the annual cycle is divided into two periods: an extended flood, including four months (April - June) and a period of low water and permanent watercourse, including eight months (August - March). Three time series were formed from the initial data: from the monthly average values of the parameters for the entire observation period; as a result of averaging the parameter values corresponding to each year; average values characterizing the low-water period and permanent watercourse for the entire observation period. It was found that the period of low water and permanent watercourse can be described by regression equations characterized by a smaller value of the average approximation error and a large value of the correlation coefficient. It was revealed that April introduces a significant stochasticity in the annual period. It is shown that the results obtained can be used to assess the value of the chloroform content in drinking water.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.