Determining the Effect of Anthropogenic Loading on the Environmental State of a Surface Source of Water Supply

R. Ponomarenko, L. Plyatsuk, L. Hurets, Dmytro Polkovnychenko, N. Grigorenko, Mykola Sherstiuk, O. Miakaiev
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引用次数: 9

Abstract

Based on an analysis of forecasting models of the state of surface objects, this paper has proven that it is advisable, when forming a system of operational prediction and evaluation of anthropogenic loads, to apply simpler models that make it possible to promptly conduct calculations. As an approach to the operative forecasting of anthropogenic loading, the application of an approximately necessary level of the reduction of harmful influence on the site of a surface water object in terms of pollutants received has been suggested. Based on a retrospective analysis of data, the mathematical modeling of the indicators of the Dnipro river ecological condition has been performed. It has been determined that the dependence of an increase in the pollutant concentrations on an increase in its mass, within the sections of a watercourse bounded by existing stationary sites, is described by a linear dependence. An analysis of the derived dependences has made it possible to establish that regardless of the type of pollutant, they have IV characteristic points that allow the rapid prediction of an increase in the mass flow rate of the examined contaminating substance and a change in its concentration. It has been established that at equal values of increasing concentrations for non-conservative substances, the increase in the mass flow rate would be less than that under the conditions of "clean dilution". In other words, at an actual water object, increasing the Sp concentration amplifies the natural processes of self-purification. The adequacy of the proposed approach has been tested at an actual surface water object, which has made it possible to establish the linear dependences for a change in the content of sulfates: ∆C sulfate =0.022∙∆m sulfate –0.001 and chlorides: ∆C chloride =0.0143∙∆m chloride –0.033. In its turn, the dependence of sulfate content on chloride content is as follows: ∆C sulfate =1.559∙∆m chloride +2.286. It has been found that for a section of the watercourse in the Dnipro river the linear dependence for phosphates takes the following form: ∆C phosphate =0.019∙∆m phosphate –0.020; for sulfates: ∆C sulfate =0.022∙∆m sulfate –0.001; for chlorides: ∆C chloride =0,0143∙∆m chloride –0,033. The dependence of phosphate content on sulfate content takes the following form: ∆C phosphate =0,066∙∆C chloride +0,422∆C sulfate –0,017. These equations make it possible in the first approximation to calculate an increase in the concentration of a single pollutant under the condition that the gain in the concentration of another one is known, which reduces data volumes and improves the efficiency of forecast calculations.
确定人为负荷对地表水源供应环境状况的影响
本文通过对地表物体状态预测模型的分析,论证了在形成人为负荷运行预测与评价体系时,宜采用便于及时计算的简单模型。作为对人为负荷进行有效预测的一种方法,已建议对地表水物体的地点按收到的污染物减少大约必要的有害影响。在回顾性分析资料的基础上,对第聂伯罗河生态状况指标进行了数学建模。已经确定,在以现有固定地点为界的水道段内,污染物浓度的增加与其质量的增加之间的依赖关系是线性依赖关系。对导出的依赖关系的分析可以确定,无论污染物的类型如何,它们都有四个特征点,可以快速预测所检查污染物质的质量流量的增加及其浓度的变化。已经确定,在非保守物质的增加浓度相等的情况下,质量流率的增加将小于“清洁稀释”条件下的增加。换句话说,在一个实际的水物体上,增加Sp浓度会放大自净的自然过程。在实际的地表水对象上测试了所提出方法的充分性,从而可以建立硫酸盐含量变化的线性依赖关系:∆C硫酸盐=0.022∙∆m硫酸盐-0.001和氯化物:∆C氯化物=0.0143∙∆m氯化物-0.033。硫酸盐含量对氯化物含量的依赖关系为:∆C硫酸盐=1.559∙∆m氯化物+2.286。已经发现,在第聂伯罗河的一段水道中,磷酸盐的线性依赖关系为:∆C磷酸盐=0.019∙∆m磷酸盐-0.020;硫酸盐:∆C硫酸盐=0.022∙∆m硫酸盐-0.001;氯化物:∆C氯=0,0143∙∆m氯-0,033。磷酸盐含量对硫酸盐含量的依赖性为:∆C磷酸盐=0,066∙∆C氯化物+0,422∆C硫酸盐-0,017。这些方程式使得在已知另一种污染物浓度增加的情况下,在第一个近似中计算一种污染物浓度的增加成为可能,这减少了数据量,提高了预报计算的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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