Please use this identifier to cite or link to this item: http://eztuir.ztu.edu.ua/123456789/8851
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dc.contributor.authorTsyhanenko-Dziubenko, I.-
dc.contributor.authorKireitseva, H.-
dc.contributor.authorShomko, O.-
dc.contributor.authorGandziura, V.-
dc.contributor.authorKhamdosh, I.-
dc.date.accessioned2025-06-17T07:58:02Z-
dc.date.available2025-06-17T07:58:02Z-
dc.date.issued2025-
dc.identifier.urihttp://eztuir.ztu.edu.ua/123456789/8851-
dc.descriptionTsyhanenko-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.isoenuk_UA
dc.relation.ispartofseriesJournal Environmental Problems;Vol. 10, No. 2-
dc.subjectheavy metalsuk_UA
dc.subjecturbanized hydroecosystemuk_UA
dc.subjectspa tial differentiationuk_UA
dc.subjectmigration patteruk_UA
dc.titleAnalytical assessment of heavy metals polyelement distribution in urbanized hydroecosystem components: spatial differentiation and migration patternsuk_UA
dc.typeArticleuk_UA
dc.description.abstractenThis 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
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