Algorithms for interpreting of the surface water quality indicators

Authors

  • Vsevolod S. Valiev Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences, 28, Daurskaya st., Kazan, 420087, Russia
  • Denis E. Shamaev Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences, 28, Daurskaya st., Kazan, 420087, Russia
  • Rustam R. Khasanov Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences, 28, Daurskaya st., Kazan, 420087, Russia
  • Dmitrii V. Ivanov Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences, 28, Daurskaya st., Kazan, 420087, Russia
  • Raisa A. Shagidullina Ministry of Ecology and Natural Resources of the Republic of Tatarstan, 75, Pavlyukhina st., Kazan, 420049
  • Rifgat R. Shagidullin Research Institute for Problems of Ecology and Mineral Wealth Use of Tatarstan Academy of Sciences, 28, Daurskaya st., Kazan, 420087, Russia

DOI:

https://doi.org/10.24852/2411-7374.2022.1.23.30

Keywords:

hydrochemical regime, water quality, specific combinatorial index of water pollution, spatial and temporal dynamics, monitoring, Sviyaga river

Abstract

The use of scientific interpretation for management decisions is a well-known problem that is difficult to solve due to different ways of evaluating the information received by departments and scientific research. In this regard, an urgent task is to create specialized software complexes that allow using the most modern methods of statistical analysis and system modeling for scientific purposes and at the same time having algorithms for interpreting the identified patterns in the form of simple formalized indicators and visualization. The article considers one of the approaches to solving this problem, as a result of which a modular software package for calculating and interpreting specific combinatorial indices of water pollution and bottom sediments is proposed and
implemented.

References

Valiev V.S., Ivanov D.V., Shagidullin R.R., Hasanov R.R., Shamaev D.E., Mustafina L.K., Shurmina N.V., Bogdanova O.A. Veroyatnostnaya ocenka zagryazneniya poverhnostnyh vod (na primere reki Kazanka) [Probabilistic assessment of surface water pollution (using the example of the Kazanka River)] // Voda: himiya i ekologiya [Water: chemistry and ecology]. 2019. № 1‒2. P. 69‒76.

Valiev V.S., Khasanov R.R., Shamaev D.E. Avtomatizaciya obrabotki pervichnyh dannyh monitoringa kachestva vod i donnyh otlozhenij poverhnostnyh vodnyh ob”ektov [Automation of processing of primary data for monitoring the quality of waters and bottom sediments of surface water bodies] // Rossijskij zhurnal prikladnoj ekologii [Russian journal of applied ecology]. 2021a. №3. P. 30‒35. doi: 10.24852/2411-7374.2021.3.30.35

Valiev V.S., Shamaev D.E., Ivanov D.V. Veroyatnostnye podhody k ocenke zagryaznennosti poverhnostnyh vod [Probabilistic approaches to the assessment of surface water pollution] // Rossijskij zhurnal prikladnoj ekologii [Russian journal of applied ecology]. 2021b. №3. P. 36‒42. doi: 10.24852/2411-7374.2021.3.36.42

RD 52.24.643‒2002. Metod kompleksnoj ocenki stepeni zagryaznennosti poverhnostnyh vod po gidrohimicheskim pokazatelyam [A method of complex assessment of the degree of contamination of surface waters by hydrochemical indicators].

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Published

2022-03-25

How to Cite

Valiev, V. S., Shamaev, D. E., Khasanov, R. R., Ivanov, D. V., Shagidullina, R. A., & Shagidullin, R. R. (2022). Algorithms for interpreting of the surface water quality indicators. Russian Journal of Applied Ecology, (1), 23–30. https://doi.org/10.24852/2411-7374.2022.1.23.30

Issue

No. 1 (2022)

Section

Статьи

License

Copyright (c) 2022 Vsevolod S. Valiev, Denis E. Shamaev, Rustam R. Khasanov, Dmitrii V. Ivanov, Raisa A. Shagidullina, Rifgat R. Shagidullin

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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