Prognosis models of nitrates and orthophosphates content in surface waters

The dynamics of hydrochemical parameters such as nitrates, and orthophosphates of surface waters were analyzed. Based on the analysis of wide temporal monitoring data, of prognosis nitrates and orthophosphates of the surface waters were carried out.The purpose is an assessment of the state of the su...

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Date:2022
Main Authors: Mitryasova, Olena P., Shybanova, Alla M., Dzhumelia, Elvira A.
Format: Article
Language:English
Published: Kyiv National University of Construction and Architecture 2022
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Online Access:https://es-journal.in.ua/article/view/273551
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Journal Title:Environmental safety and natural resources

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Environmental safety and natural resources
id es-journalinua-article-273551
record_format ojs
institution Environmental safety and natural resources
baseUrl_str
datestamp_date 2023-02-06T02:44:09Z
collection OJS
language English
topic nitrates
phosphates
prognosis models
water security
the prognosis of the environment state
spellingShingle nitrates
phosphates
prognosis models
water security
the prognosis of the environment state
Mitryasova, Olena P.
Shybanova, Alla M.
Dzhumelia, Elvira A.
Prognosis models of nitrates and orthophosphates content in surface waters
topic_facet нітрати
фосфати
прогнозні моделі
безпека водних ресурсів
прогноз стану довкілля
nitrates
phosphates
prognosis models
water security
the prognosis of the environment state
format Article
author Mitryasova, Olena P.
Shybanova, Alla M.
Dzhumelia, Elvira A.
author_facet Mitryasova, Olena P.
Shybanova, Alla M.
Dzhumelia, Elvira A.
author_sort Mitryasova, Olena P.
title Prognosis models of nitrates and orthophosphates content in surface waters
title_short Prognosis models of nitrates and orthophosphates content in surface waters
title_full Prognosis models of nitrates and orthophosphates content in surface waters
title_fullStr Prognosis models of nitrates and orthophosphates content in surface waters
title_full_unstemmed Prognosis models of nitrates and orthophosphates content in surface waters
title_sort prognosis models of nitrates and orthophosphates content in surface waters
title_alt Prognosis models of nitrates and orthophosphates content in surface waters
description The dynamics of hydrochemical parameters such as nitrates, and orthophosphates of surface waters were analyzed. Based on the analysis of wide temporal monitoring data, of prognosis nitrates and orthophosphates of the surface waters were carried out.The purpose is an assessment of the state of the surface water by nitrates and orthophosphates hydrochemical parameters and their regression analysis.The object of research – was to determine nitrates and orthophosphates indicators of the river water state during 12 years.The regression analysis method using the Windows Excel CurveExpert software was used to determine the empirical dependencies and search for connections.Against the background of high regulation of the Inhul river basin (the presence of 770 ponds and an irrigation system on 33 hectares, water use is carried out by more than 20 enterprises) showed the periodic nature of changes in hydrochemical parameters. Based on the obtained functions, prognoses to 2030 on annual averages were developed. The study is the basis for determining the mathematical model of natural fluctuations of the research indicators. Regression analysis allows obtaining a sinusoidal dependence on the orthophosphates content, which demonstrates 13 years fluctuation (R = 0.90). We have an 11-year sinusoidal wave with a period of 10 years and fairly high representativeness (R = 0.85) for nitrate content. The determined sinusoidal dependences of the integrated indicators of water quality allowed determining the average time of fluctuations concerning the processes of self-organization of river waters, which is about 11 years, and confirms the theory of "waves of life". The surface waters of the river are capable of self-renewal and their hydrochemical status has not yet reached a critical point, after which irreversible changes in the river ecosystem may occur.
publisher Kyiv National University of Construction and Architecture
publishDate 2022
url https://es-journal.in.ua/article/view/273551
work_keys_str_mv AT mitryasovaolenap prognosismodelsofnitratesandorthophosphatescontentinsurfacewaters
AT shybanovaallam prognosismodelsofnitratesandorthophosphatescontentinsurfacewaters
AT dzhumeliaelviraa prognosismodelsofnitratesandorthophosphatescontentinsurfacewaters
first_indexed 2025-07-17T11:18:58Z
last_indexed 2025-07-17T11:18:58Z
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spelling es-journalinua-article-2735512023-02-06T02:44:09Z Prognosis models of nitrates and orthophosphates content in surface waters Prognosis models of nitrates and orthophosphates content in surface waters Mitryasova, Olena P. Shybanova, Alla M. Dzhumelia, Elvira A. нітрати фосфати прогнозні моделі безпека водних ресурсів прогноз стану довкілля nitrates phosphates prognosis models water security the prognosis of the environment state The dynamics of hydrochemical parameters such as nitrates, and orthophosphates of surface waters were analyzed. Based on the analysis of wide temporal monitoring data, of prognosis nitrates and orthophosphates of the surface waters were carried out.The purpose is an assessment of the state of the surface water by nitrates and orthophosphates hydrochemical parameters and their regression analysis.The object of research – was to determine nitrates and orthophosphates indicators of the river water state during 12 years.The regression analysis method using the Windows Excel CurveExpert software was used to determine the empirical dependencies and search for connections.Against the background of high regulation of the Inhul river basin (the presence of 770 ponds and an irrigation system on 33 hectares, water use is carried out by more than 20 enterprises) showed the periodic nature of changes in hydrochemical parameters. Based on the obtained functions, prognoses to 2030 on annual averages were developed. The study is the basis for determining the mathematical model of natural fluctuations of the research indicators. Regression analysis allows obtaining a sinusoidal dependence on the orthophosphates content, which demonstrates 13 years fluctuation (R = 0.90). We have an 11-year sinusoidal wave with a period of 10 years and fairly high representativeness (R = 0.85) for nitrate content. The determined sinusoidal dependences of the integrated indicators of water quality allowed determining the average time of fluctuations concerning the processes of self-organization of river waters, which is about 11 years, and confirms the theory of "waves of life". The surface waters of the river are capable of self-renewal and their hydrochemical status has not yet reached a critical point, after which irreversible changes in the river ecosystem may occur. Проаналізовано динаміку таких гідрохімічних показників, як нітрати та ортофосфати поверхневих вод. На основі аналізу даних широкого часового моніторингу проведено прогноз нітратів і ортофосфатів поверхневих вод. Мета – оцінка стану поверхневих вод за гідрохімічними показниками нітратів і ортофосфатів та їх регресійний аналіз. Мета дослідження – визначення нітратно-ортофосфатних показників стану води річки упродовж 12 років. Для визначення емпіричних залежностей та пошуку зв’язків використовувався метод регресійного аналізу з використанням програми Windows Excel CurveExpert. На фоні високої зарегульованості басейну річки Інгул (наявність 770 ставків та зрошувальної системи на 33 га, водокористування здійснюють понад 20 підприємств) показано періодичний характер зміни гідрохімічних показників. На основі отриманих функцій здійснено прогнози до 2030 р. за середньорічними показниками. Дослідження є основою для визначення математичної моделі закономірних коливань досліджуваних показників. Регресійний аналіз дозволив отримати синусоїдальну залежність вмісту ортофосфатів, яка охоплює 13-річне коливання (R = 0,90). Отримано 11-річну синусоїду з періодом 10 років і досить високу репрезентативність (R = 0,85) за вмістом нітратів. Визначені синусоїдальні залежності інтегральних показників якості води дозволили визначити середній час коливань щодо процесів самоорганізації поверхневих вод, який становить близько 11 років і підтверджує теорію «хвиль життя». Поверхневі води річки здатні до самовідновлення, а їх гідрохімічний стан ще не досяг критичної точки, після якої можуть відбутися незворотні зміни в річковій екосистемі. Kyiv National University of Construction and Architecture 2022-12-29 Article Article application/pdf https://es-journal.in.ua/article/view/273551 10.32347/2411-4049.2022.4.30-43 Environmental safety and natural resources; Vol. 44 No. 4 (2022): Environmental safety and natural resources; 30-43 Екологічна безпека та природокористування; Том 44 № 4 (2022): Екологічна безпека та природокористування; 30-43 2616-2121 2411-4049 10.32347/2411-4049.2022.4 en https://es-journal.in.ua/article/view/273551/268922 Copyright (c) 2022 O.P. Mitryasova, A.M. Shybanova, E.A. Dzhumelia http://creativecommons.org/licenses/by/4.0