Assessment of water quality of Shlinsky reservoir by hydrochemical indicators

Author:

Lazareva Galina A.ORCID,Novikova Polina V.

Abstract

The paper presents the main results of assessing the water quality of the Shlinsky reservoir for the period 2015-2019. Based on the analysis of hydrochemical data obtained by standard chemical methods, according to 22 indicators. Monitoring of the reservoir water quality until 2021 was carried out by the Dubna Ecoanalytic Laboratory. The Shlinsky reservoir is located on the border of the Tver and Novgorod regions, is part of the Vyshnevolotsk water system. The reservoir provides releases for the needs of energy, water transport and improvement of water supply in Moscow. As a result of the study, priority pollutants were identified, the water quality of the reservoir was assessed based on the results of calculating the water pollution index (WPI) and the specific combinatorial index of water pollution (SCIWP). It is shown that there is no significant anthropogenic impact on the ecosystem of a water body. The water quality of the reservoir is assessed as "moderately polluted" water (according to the value of the water pollution index) and slightly polluted - polluted water (according to the value of the specific combinatorial index of water pollution).

Publisher

Peoples' Friendship University of Russia

Subject

General Medicine

Reference5 articles.

1. Grigorieva IL, Komissarov AB. Features of formation and characteristics of the chemical composition of water bodies of the Tver region. Questions of geography. 2012;(133):431–444. (In Russ.)

2. Lazareva GA, Novikova PV, Kovaleva OI. Estimation of polluting inflow from surface runoff in Shlino reservoir. International scientific research journal. ISSN 2303-9868 PRINT, ISSN 2227-6017 online, 2020;2(12(102)):74–77 Yekaterinburg 2020. (In Russ.)

3. Lazareva GA, Klenova AV. The estimation of surface water by integrated indicators (of Verhnevolgsky reservoir). Modern problems of science and education. 2015;(6):621. URL: http://www.science-education.ru/130-23406 (accessed: 10.11.2020) (In Russ.)

4. Lazareva GA. Estimation of water quality of Uglichsky reservoir by integrated hydrochemical factors. Bulletin of the Moscow State University. Series: Natural Sciences. 2016;(2):156–164. (In Russ.)

5. Lazareva GA, Korneva LG, Zhmylev PYu. Ecology of the aquatic environment. Dubna: University «Dubna»; 2020. 125 р. (In Russ.)

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