Assessment of the hydro-ecological situation of the Verkhno-Ivachivsk Reservoir in Ternopil using the fuzzy logic apparatus

IF 0.4 Q4 GEOSCIENCES, MULTIDISCIPLINARY
V. Hrubinko, H. Humeniuk, V. V. Humeniuk, Tetiana V. Andrusushyn, V. O. Khomenchuk, N. Harmatiy, I. B. Chen
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Abstract

The work purpose is to investigate the water parameters of the Verkhno-Ivachivsk water intake, Ternopil and develop a model of water quality assessment and management. Common methods of hydroecological studies of surface water were used to determine hydrochemical indicators. A model based on fuzzy logic and neural networks implemented in Matlab software was used to assess the water quality of the water intake. As a result of a complex hydroecological study of the water intake, which provides the drinking water majority supply in Ternopil, the content of the main pollutants (compounds of nitrogen, phosphorus, petroleum products, phenols, surface active agents) was determined (May, June, November, January 2019-2020). We compared the obtained indicator values with the ecological regulations and drinking water quality standards and we also assessed the ecological danger by the content of individual substances and the ecotoxicological situation in general. It was established that the water is slightly alkaline, which contributes to the presence of carbon dioxide in the form of a hydrogen carbonate ion, ensuring an environ-mentally acceptable gas regime of water. The reason for water alkalinity is the rotting of organic substances from the agricultural sector. The water quality according to the phosphate indicator is good even in the conditions of intensive supply of phosphates with sewage, due to their transition into insoluble forms and accumulation in sediments (silt), which is also facilitated by the low alkalinity of the water. An increased content of nitrogen compounds (ammonium, nitrates) in the water was revealed. Pollution and disruption of the nitrogen-containing compound cycle can be associated with the inflow of nitrogen compounds from surface runoff water and municipal and household washes, the organic substance decomposition in the agricultural sector and a violation of the production and destruction process ratio. The aquifer significant pollution by anthropogenic origin organic substances is reflected in the value of BOD5 indicator, which is higher than the permissible level. The established values indicate high organic pollution and correlates with the formation of significant ammonia amounts which is a product of anaerobic and aerobic organic substance oxidation. After defuzzification of all neural connections in Matlab program we obtained a model for evaluating the quality of water intake at an average level with an indicator of 1.52, which corresponds to the rating scale - an average level in the range (1.36-2.18).
用模糊逻辑仪评价捷尔诺波尔维尔赫诺-伊瓦奇夫斯克水库的水文生态状况
工作目的是调查Ternopil Verkhno-Ivachivsk取水口的水参数,并建立水质评估和管理模型。采用常用的地表水生态研究方法测定水化学指标。采用Matlab软件实现的模糊逻辑和神经网络模型对进水口水质进行了评价。由于对捷尔诺波尔提供大部分饮用水的取水进行了复杂的水文生态研究,因此确定了主要污染物(氮、磷、石油产品、酚类化合物、表面活性剂)的含量(2019年5月、6月、11月、1月-2020年)。将所得的指标值与生态法规和饮用水水质标准进行比较,并根据个别物质的含量和总体生态毒理学状况进行生态危险性评价。经证实,水是微碱性的,这有助于以碳酸氢离子形式存在的二氧化碳,确保水的环境可接受的气体状态。水呈碱性的原因是农业部门的有机物腐烂了。根据磷酸盐指标,即使在污水密集供应磷酸盐的情况下,由于它们转变为不溶性形式并积聚在沉积物(淤泥)中,而且水的低碱度也促进了这一点。水中的氮化合物(铵、硝酸盐)含量增加。含氮化合物循环的污染和破坏可能与地表径流水、市政和家庭洗涤中氮化合物的流入、农业部门的有机物分解以及生产和破坏过程比的违反有关。水体受人为源性有机物污染严重体现在BOD5指标高于允许水平。所建立的值表明有机污染程度高,并与形成大量氨有关,氨是厌氧和好氧有机物氧化的产物。在Matlab程序中对所有神经连接进行去模糊化后,我们得到了一个平均水平取水质量评价模型,该模型的指标为1.52,对应于评分量表- 1.36-2.18范围内的平均水平。
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来源期刊
Journal of Geology Geography and Geoecology
Journal of Geology Geography and Geoecology GEOSCIENCES, MULTIDISCIPLINARY-
自引率
40.00%
发文量
57
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