Changes in the Ecological Status of the Surface Water Body Under Man-Made Conditions
Abstract
Purpose. Determining the adequacy of a mathematical model for analyzing the prediction of changes in the total anion content in the Dnieper basin.
Methods. Statistical analysis and mathematical modeling.
Results. A retrospective analysis and mathematical modeling based on samples of control water intake of the Dnieper River within the Basin Water Resources Management at 12 posts for the period from 2010 to 2019
The approach to determining the balance of the pollutant contained in the surface water body, which takes into account its lateral inflow, due to man-made impact and the process of decomposition in the aquatic environment. Accidental change of lateral inflows causes fluctuations of coefficients of disintegration and receipt of polluting substance. The stochastic equation of the balance of matter is derived, on the basis of which the equation for the density distribution of its concentration can be constructed. The solution of the equation showed that the density of the distribution obeys the lognormal distribution law. This approach is used to analyze the time series of the sum of anions in the water of a surface water body. The suitability of the lognormal distribution law is confirmed, and the distribution parameters are found. It was found that for the total content of anions the distribution is split into two lognormal branches, one - for high, the other - for low values. The application of statistical distributions for probabilistic prediction of extreme values of indicators is considered.
Conclusions. The probability of exceeding (providing) normative limits is calculated, the possibility of its use for the purposes of hydrochemical rationing is demonstrated. In the future, the proposed approach may be the subject of research on the analysis of time series of other pollutants entering the surface water body, due to man-made load on it.
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References
Fredys Simanca Herrera, Daniela Garzón Rubiano, Fabián Blanco Garrido, Pablo Carreño Hernández, Siby Garces Polo, Jenny Romero & Yulineth Gomez-Charris. (2020). Evaluation of water quality state through regulations and physicochemical indicators for the administration of water resources in the Integrated Management District of Salto del Tequendama. Procedia Computer Science, 177, 300-307. https://doi.org/10.1016/j.procs.2020.10.041
Xiaoran Cao, Clarisse Mukandinda Cyuzuzo, Ayaole Saiken & Bo Song. (2021). A linear additivity water resources assessment indicator by combining water quantity and water quality. Ecological Indicators, 121, 106990. https://doi.org/10.1016/j.ecolind.2020.106990
Ira Brückner, Silke Classen, Monika Hammers-Wirtz, Kassandra Klaer, Joachim Reichert & Johannes Pinnekamp. (2020). Tool for selecting indicator substances to evaluate the impact of wastewater treatment plants on receiving water bodies. Science of The Total Environment, 745, 140746. https://doi.org/10.1016/j.scitotenv.2020.140746
Hajkowicz, S. A. & Collins, K. (2006). Review of multiple criteria analysis for water resource planning and management. Water Resources Management, 21(9), 1553–1566. https://doi.org/10.1007/s11269-006-9112-5
Malekmohammadi, B. & Jahanishakib, F. (2017). Vulnerability assessment of wetland landscape ecosystem services using driver-pressure-state-impact-response (DPSIR) model. Ecological Indica-tors, 82, 293-303. https://doi.org/10.1016/j.ecolind.2017.06.060
Hortência de Sousa Barroso, Tallita Cruz Lopes Tavares, Marcelo de Oliveira Soares, Tatiane Martins Garcia, Brenda Rozendo, Alanne Simone Cavalcante Vieira, Patrícia Barros Viana, Thalita Melo Pontes, Tasso Jorge Tavares Ferreira, Jurandir Pereira Filho, Carlos Augusto França Schettini & Sandra Tédde Santaella. (2018). Intra-annual variability of phytoplankton biomass and nutrients in a tropical estuary during a severe drought. Estuarine, Coastal and Shelf Science, 213, 283-293. https://doi.org/10.1016/j.ecss.2018.08.023
Boehm, A.B. & Soller, J.A. (2020). Refined ambient water quality thresholds for human-associated fecal indicator HF183 for recreational waters with and without co-occurring gull fecal contamination. Microbial Risk Analysis, 16, 100139. https://doi.org/10.1016/j.mran.2020.100139
Ponomarenko, R.V., Plyatsuk, L.D., Tretyakov, О. В., Cherkashin,V. & Zatko, J. (2020). Forecasting of indicators of the oxygen regime of the surface source in the aquatic ecosystem of the Dnieper basin. Technogenic and ecological safety, 7 (1/2020), 51-56. Retrieved from http://repositsc.nuczu.edu.ua/bitstream/123456789/10754/3/51-56-Ponomarenko_Pljatsuk_Tretjakov_Cherkashyn_Zatko.pdf
Jiping Jiang, Sijie Tang, Dawei Han, Guangtao Fu, Dimitri Solomatine & Yi Zheng. (2020). A comprehensive review on the design and optimization of surface water quality monitoring networks. Environmental Modelling & Software, 132, 104792. https://doi.org/10.1016/j.envsoft.2020.104792
Bezsonnyi, V., Tretyakov, O., Khalmuradov ,B. & Ponomarenko, R. (2017). Examining the dynamics and modeling of oxygen regime of Chervonooskil water reservoir. Eastern-European Journal of Enterprise Technologies, 5(10 (89), 32–38. https://doi.org/10.15587/1729-4061.2017.109477
Eduardo Eiji Maeda, Filipe Lisboa, Laura Kaikkonen, Kari Kallio, Sampsa Koponen, Vanda Brotas & Sakari Kuikka. (2019). Temporal patterns of phytoplankton phenology across high latitude lakes unveiled by long-term time series of satellite data. Remote Sensing of Environment, 221, 609-620. https://doi.org/10.1016/j.rse.2018.12.006
Ponomarenko, R., Plyatsuk, L., Huret,s L., Polkovnychenko, D., Grigorenko, N., Sherstiuk, M. & Miakaiev, O. (2020). Determining the effect of anthropogenic loading on the environmental state of a surface source of water supply Eastern-European Journal of Enterprise Technologies, 3(10 (105), 54–62. https://doi.org/10.15587/1729-4061.2020.206125
Laura Melo Vieira Soares, Maria do Carmo Calijuri, Talita Fernanda das Graças Silva, Evlyn Marcia Leão de Moraes Novo, Carolline Tressmann Cairo & Claudio Clemente Faria Barbosa. (2020). A parameterization strategy for hydrodynamic modelling of a cascade of poorly monitored reservoirs in Brazil. Environmental Modelling & Software, 134, 104803. https://doi.org/10.1016/j.envsoft.2020.104803
Maurice A. Duka, Tetsuya Shintani & Katshuhide Yokoyama. (2020). Thermal stratification responses of a monomictic reservoir under different seasons and operation schemes. Science of the Total Environment, 767, 144423. https://doi.org/10.1016/j.scitotenv.2020.144423
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