Analytical assessment of heavy metals polyelement distribution in urbanized hydroecosystem components: spatial differentiation and migration patterns

Tsyhanenko-Dziubenko, I.; Kireitseva, H.; Shomko, O.; Gandziura, V.; Khamdosh, I.

dc.contributor.author	Tsyhanenko-Dziubenko, I.
dc.contributor.author	Kireitseva, H.
dc.contributor.author	Shomko, O.
dc.contributor.author	Gandziura, V.
dc.contributor.author	Khamdosh, I.
dc.date.accessioned	2025-06-17T07:58:02Z
dc.date.available	2025-06-17T07:58:02Z
dc.date.issued	2025
dc.identifier.uri	http://eztuir.ztu.edu.ua/123456789/8851
dc.description	Tsyhanenko-Dziubenko, I., Kireitseva, H., Shomko, O., Gandziura, V., Khamdosh, I. (2025). Analytical assessment of heavy metals polyelement distribution in urbanized hydroecosystem components: spatial differentiation and migration patterns. Journal Environmental Problems, 10(2), 135−144.	uk_UA
dc.language.iso	en	uk_UA
dc.relation.ispartofseries	Journal Environmental Problems;Vol. 10, No. 2
dc.subject	heavy metals	uk_UA
dc.subject	urbanized hydroecosystem	uk_UA
dc.subject	spa tial differentiation	uk_UA
dc.subject	migration patter	uk_UA
dc.title	Analytical assessment of heavy metals polyelement distribution in urbanized hydroecosystem components: spatial differentiation and migration patterns	uk_UA
dc.type	Article	uk_UA
dc.description.abstracten	This study assesses heavy metal polyelement di stribution in the urbanized hydroecosystem of the Kamyanka River within Zhytomyr city, Ukraine. Concentrations of Fe, Cu, Cr, Mn, Zn, Ni, Pb, and Co were analyzed in water, bottom sediments, and the aquatic macrophyte Vallisneria spiralis L. using atomic emission spectrometry. The spatial entropy analysis, employing Shannon-Wiener diversity index (H′ = 0.75–1.55), evenness index (E = 0.47–0.98), and relative organization index (R = 0.17–0.64), revealed metal-specific distribution patterns across ecosystem compartments. Iron showed the most uniform distribution (E = 0.98), copper ex hibited more concentrated patterns (E = 0.47), while mangane se demonstrated the highest level of organization (R = 0.64). Bioaccumulation coefficients (ranging from 7,333 to 326,667) and sedimentation coefficients (ranging from 1,733 to 19,310) quantified the metal transfer processes between ecosystem components. This spatial differentiation analysis provides a novel framework for understanding heavy metal migration patterns in urbanized river systems and can inform monitoring approaches targeted at specific metals based on their unique distribution characteristics.	uk_UA