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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Caspian Journal of Environmental Sciences</JournalTitle>
				<Issn>1735-3033</Issn>
				<Volume>24</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Purification of river waters using plant bioindicators</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>485</FirstPage>
			<LastPage>493</LastPage>
			<ELocationID EIdType="pii">9634</ELocationID>
			
<ELocationID EIdType="doi">10.22124/cjes.2026.9634</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Rosa</FirstName>
					<LastName>Zhumakhanova</LastName>
<Affiliation>M.Auezov South Kazakhstan University, Shymkent City, Higher School of Science and Pedagogy, Department of Biology and Geography, Kazakhstan</Affiliation>

</Author>
<Author>
					<FirstName>Gulnar</FirstName>
					<LastName>Kylyshbayeva</LastName>
<Affiliation>Central Asian Innovation University, Department of Chemistry, Biology and Ecology, Shymkent, Kazakhstan</Affiliation>

</Author>
<Author>
					<FirstName>Aidos</FirstName>
					<LastName>Mussabekov</LastName>
<Affiliation>M.Auezov South Kazakhstan University, Shymkent City, Higher School of Science and Pedagogy, Department of Biology and Geography, Kazakhstan</Affiliation>

</Author>
<Author>
					<FirstName>Gulnar</FirstName>
					<LastName>Adyrbekova</LastName>
<Affiliation>M.Auezov South Kazakhstan University, Shymkent City, Higher School of Science and Pedagogy, Department of Biology and Geography, Kazakhstan</Affiliation>

</Author>
<Author>
					<FirstName>Nyshangul</FirstName>
					<LastName>Abduraimova</LastName>
<Affiliation>M.Auezov South Kazakhstan University, Shymkent City, Higher School of Science and Pedagogy, Department of Biology and Geography, Kazakhstan</Affiliation>

</Author>
<Author>
					<FirstName>Akmaral</FirstName>
					<LastName>Berdaliyeva</LastName>
<Affiliation>Central Asian Innovation University, Department of Chemistry, Biology and Ecology, Shymkent, Kazakhstan</Affiliation>

</Author>
<Author>
					<FirstName>Gulnar</FirstName>
					<LastName>Kemelbekova</LastName>
<Affiliation>M.Auezov South Kazakhstan University, Shymkent City, Higher School of Science and Pedagogy, Department of Biology and Geography, Kazakhstan</Affiliation>

</Author>
<Author>
					<FirstName>Gulmira</FirstName>
					<LastName>Yessentureyeva</LastName>
<Affiliation>Zhanibekov University, Department of biology, Faculty of Natural Sciences, Shymkent., Kazakhstan</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>05</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>This article discusses modern methods of river water purification using plant bioindicators, based on a field study conducted in the Almaty region and the lower Ili River of Kazakhstan between May and September 2025. We collected water, sediment, and plant samples from three river sections with different pollution levels (clean, moderate, and heavily polluted). Five aquatic and coastal plant species were examined: &lt;em&gt;Phragmites australis&lt;/em&gt;, &lt;em&gt;Typha angustifolia&lt;/em&gt;, &lt;em&gt;Potamogeton nodosus&lt;/em&gt;, &lt;em&gt;Ranunculus aquatilis&lt;/em&gt;, and &lt;em&gt;Iris pseudacorus&lt;/em&gt;. The results show that &lt;em&gt;P. nodosus&lt;/em&gt; (river pondweed) is the most effective accumulator, with bioconcentration factors (BCF) of 1.26 for lead and 1.85 for zinc at the polluted site, exceeding the hyperaccumulator threshold of 1.0. The same species removed 57–68% of dissolved heavy metals from water passing through dense stands. Visible symptoms (root blackening, leaf chlorosis, and stunted growth) correlated strongly with sediment metal levels (Spearman’s ρ = 0.91), enabling rapid visual bioindication without laboratory equipment. &lt;em&gt;T. angustifolia&lt;/em&gt; showed moderate accumulation (BCF up to 0.78), while &lt;em&gt;Phragmites&lt;/em&gt; and &lt;em&gt;Iris&lt;/em&gt; contributed mainly to stabilisation. The strong correlation between sediment and plant root metal concentrations (r &gt; 0.95) confirms that plants can serve as reliable sentinels. The study demonstrates the dual role of aquatic and coastal plants in reducing pollution, accumulating heavy metals and biogenic elements, and restoring the ecological state of aquatic ecosystems. The use of phytobioindication allows simultaneous monitoring and biological purification of water bodies. We recommend planting and protecting &lt;em&gt;P. nodosus&lt;/em&gt; in polluted river reaches, harvesting biomass annually, and training local communities to recognise visible bioindicator signs. These low‑cost, sustainable methods are particularly suitable for Kazakhstan’s continental climate and limited laboratory infrastructure.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Bioindicators</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Phyto purification</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">River waters</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Aquatic plants</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Pollution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ecosystem</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cjes.guilan.ac.ir/article_9634_616dc44a1649c9db49227d849bd6b15f.pdf</ArchiveCopySource>
</Article>
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