| Issue |
BIO Web Conf.
Volume 160, 2025
IV International Conference on Improving Energy Efficiency, Environmental Safety and Sustainable Development in Agriculture (EESTE2024)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 6 | |
| Section | Environmental Safety and Biodiversity | |
| DOI | https://doi.org/10.1051/bioconf/202516002003 | |
| Published online | 12 February 2025 | |
Study and assessment of qualitative indicators of water sources in the Issyk-Kul mountain ecosystem
1 J. Balasagyn Kyrgyz National University, Bishkek, Kyrgyz Republic
2 Kyrgyz State Medical Academy named after I. K. Akhunbaev, Bishkek, Kyrgyz Republic
* Corresponding author: nurila.chem@mail.ru
In the work for the subsequent creation of models for forecasting and assessing the quality of water sources using machine learning methods on the basis of the obtained data, the selection and justification of research objects (water resource of the Issyk-Kul region) was carried out. Systematization of water resource objects (lake, river, waste, surface and groundwater) was carried out. Data collection for water quality testing in the Issyk-Kul region was carried out, including organoleptic indicators of investigated water samples from different sources (color, taste, odor, turbidity), determination of water hardness, assessment of heavy metal pollution - cation content (total iron), pH and temperature of water samples from each source. The qualitative characterization and systematization of the obtained data on water samples of different sources were studied and systematized to contribute to the database of future machine learning algorithms, which can be used as tools for analysis and prediction of water resources results.
© The Authors, published by EDP Sciences, 2025
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