Prognosis models of nitrates and orthophosphates content in surface waters

O. Mitryasova, A. M. Shybanova, Elvira A. Dzhumelia
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引用次数: 1

Abstract

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.
地表水硝酸盐和正磷酸盐含量预测模型
分析了地表水硝酸盐、正磷酸盐等水化学参数的动态变化。在对大范围监测资料进行分析的基础上,对地表水的预测硝酸盐和正磷酸盐进行了研究。目的是用硝酸盐和正磷酸盐的水化学参数及其回归分析来评价地表水的状态。研究的目的是测定12年间河流水状态的硝酸盐和正磷酸盐指标。采用回归分析方法,利用Windows Excel CurveExpert软件确定经验依赖关系,寻找联系。在Inhul河流域高度管制的背景下(在33公顷的土地上有770个池塘和一个灌溉系统,用水由20多个企业进行)显示了水化学参数变化的周期性。根据所获得的函数,以年平均值进行了至2030年的预测。该研究是确定研究指标自然波动数学模型的基础。回归分析允许获得正磷酸盐含量的正弦依赖关系,这表明13年的波动(R = 0.90)。我们有一个周期为10年的11年正弦波,硝酸盐含量具有较高的代表性(R = 0.85)。确定的水质综合指标的正弦依赖关系可以确定河流水自组织过程波动的平均时间,约为11年,并证实了“生命之波”理论。河流的地表水具有自我更新的能力,其水化学状态尚未达到临界点,在此之后,河流生态系统可能发生不可逆转的变化。
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