Please use this identifier to cite or link to this item: https://sci.ldubgd.edu.ua/jspui/handle/123456789/12127
Title: Prediction of benzene migration parameters resulting from continuous flow in a mountain river
Other Titles: Прогнозування параметрів міграції бензолу внаслідок його неперервного надходження у гірську річку
Authors: Шуригін, Владислав Ігорович
Карабин, Василь Васильович
Кузик, Андрій Данилович
Keywords: environmental safety
benzene
diffusion
migration
mathematical model
Issue Date: 10-Oct-2023
Publisher: Ecological Engineering & Environmental Technology
Citation: Shuryhin, V., Karabyn, V., Kuzyk, A. (2023). Prediction of Benzene Migration Parameters Resulting from Continuous Flow in a Mountain River. Ecological Engineering & Environmental Technology, 24(8), 73–81. https://doi.org/10.12912/27197050/171529
Series/Report no.: 24;8
Abstract: Using a mathematical model that includes the influence of bottom sediments, a comprehensive study of the migration of benzene (C6H6 ) as a result of its continuous release into a mountain river was conducted. The adopted migration model consists of two equations that accurately describe the movement of pollutants within the river system, considering crucial factors such as flow velocity, diffusion, sorption, and desorption by river sediments. Through meticulous laboratory experiments, the distribution parameters that govern the behavior of benzene (C6H6 ) within the water-sediment system were successfulully determined. Leveraging advanced computer modeling techniques, intricate spatiotemporal profiles illustrating benzene (C6H6 ) concentrations in both water and sediments were generated. Furthermore, consistent patterns in the fluctuations of benzene (C6H6 ) concentrations that exhibit strong correlation with the specific composition of river sediments were identified. Importantly, these foundational relationships can be extrapolated to diverse river systems and various categories of pollutants.
URI: https://sci.ldubgd.edu.ua/jspui/handle/123456789/12127
ISSN: 2719–7050
Appears in Collections:2023

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