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dc.contributor.authorGataulina, Gulzira
dc.contributor.authorMendybaev, Yerbolat
dc.contributor.authorAikenova, Nuriya
dc.contributor.authorBerdenov, Zharas
dc.contributor.authorAtaeva, Gulshat
dc.contributor.authorSaginov, Kairat
dc.contributor.authorDukenbayeva, Assiya
dc.contributor.authorBeketova, Aidana
dc.contributor.authorAlmurzaeva, Saltanat
dc.date.accessioned2026-03-05T11:43:45Z
dc.date.available2026-03-05T11:43:45Z
dc.date.issued2025
dc.identifier.citationGulzira, G.; Yerbolat, M.; Nuriya, A.; Zharas, B.; Gulshat, A.; Kairat, S.; Assiya, D.; Aidana, B.; Saltanat, A. Ecological and Geochemical Characteristics of the Content of Heavy Metals in Steppe Ecosystems of the Akmola Region, Kazakhstan. Sustainability 2025, 17, 6576. https://doi.org/ 10.3390/su17146576ru
dc.identifier.issn2071-1050
dc.identifier.otherdoi.org/ 10.3390/su17146576
dc.identifier.urihttp://repository.enu.kz/handle/enu/29888
dc.description.abstractSoil quality assessment plays a critical role in promoting sustainable land management, particularly in fragile steppe ecosystems. This study provides a comprehensive geoecological evaluation of heavy metal contamination (Pb, Cd, Zn, Cu, Co, Ni, Fe, and Mn) in soils across five districts of the Akmola region, Kazakhstan. The assessment incorporates multiple integrated pollution indices, including the geochemical pollution index (Igeo), pollution coefficient (CF), ecological risk index (Er), pollution load index (PLI), and integrated pollution index (Zc). Spatial analysis combined with multivariate statistical techniques (PCA and clustering analysis) was used to identify pollutant distribution patterns and differentiate areas by risk levels. The findings reveal generally low to moderate contamination, with cadmium (Cd) posing the highest environmental risk due to its elevated toxic response coefficient, despite its low concentration. The study also explores the connection between current soil conditions and historical land-use changes, particularly those associated with the Virgin Lands Campaign of the mid-20th century. The highest PLI values were recorded in the Yesil and Atbasar districts (7.88 and 7.54, respectively), likely driven by intensive agricultural activity and lithological factors. PCA and cluster analysis revealed distinct spatial groupings, reflecting heterogeneity in both the sources and distribution of soil pollutants.ru
dc.language.isoenru
dc.publisherSustainabilityru
dc.relation.ispartofseries17, 6576;
dc.subjectheavy metalsru
dc.subjectsoilru
dc.subjectgeochemical indexru
dc.subjectecological risk indexru
dc.subjectcluster analysisru
dc.subjectPLIru
dc.titleEcological and Geochemical Characteristics of the Content of Heavy Metals in Steppe Ecosystems of the Akmola Region, Kazakhstanru
dc.typeArticleru


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