Objective: To establish comprehensive baseline geochemical data for heavy metal distribution patterns in bottom sediments of the Kamyanka River Basin within the broader context of the Ukrainian Shield geodynamic evolution and long-term tectonic stability. This research aims to characterize the relationship between deep crustal processes spanning over 3.8 billion years of geological history and contemporary environmental geochemistry, with a specific focus on distinguishing between natural background metal concentrations derived from crustal weathering processes and potential anthropogenic contamination sources in this geodynamically stable continental platform setting. Methodology: Advanced spectrophotometric analytical techniques, including inductively coupled plasma mass spectrometry (ICP-MS) and atomic absorption spectroscopy (AAS), were systematically employed to analyze sediment samples collected from strategically selected representative sites reflecting the full spectrum of diverse geomorphological and hydrological conditions within a geodynamically stable cratonic domain. The comprehensive sampling strategy encompassed various depositional environments ranging from headwater reaches influenced by groundwater discharge to downstream areas subject to urban runoff and agricultural inputs. Sequential extraction procedures and bioavailability assessments were integrated to evaluate metal speciation and environmental mobility. At the same time, quality control measures included certified reference materials, duplicate analyses, and blank determinations to ensure analytical reliability and environmental significance of the obtained results. Results: Pronounced dominance of iron (3,862 mg/kg) and aluminum (1,906 mg/kg) was established, reflecting characteristic aluminosilicate weathering signatures of Precambrian crystalline basement rocks typical of the Ukrainian Shield geological province. Essential trace metals, including copper (5.2 mg/kg), chromium (7.8 mg/kg), and nickel (2.5 mg/kg), were detected at natural background levels, while potentially toxic elements such as mercury, cadmium, and bismuth remained consistently below analytical detection limits. The Al/Fe ratio 0.49 indicates typical continental weathering signatures without unusual enrichment or depletion patterns. The geochemical signature corresponds to a sedimentary environment dominated by natural terrigenous input derived from stable continental weathering processes operating under conditions of prolonged geodynamic stability, with minimal anthropogenic contamination pressure reflecting the relatively stable geodynamic setting and effective environmental management within the study area. Scientific novelty: The complex relationship between Ukrainian Shield geodynamic evolution and contemporary heavy metal distribution patterns in fluvial sedimentary systems has been comprehensively characterized for the first time, establishing the critical importance of long-term tectonic stability in controlling environmental geochemistry. A novel integrated conceptual model of metal accumulation mechanisms under stable cratonic conditions has been developed, incorporating thermodynamic equilibrium relationships, surface complexation processes, and biogeochemical cycling pathways. This research demonstrates that geodynamic controls fundamentally determine metal fate and transport in hydrogeological systems, where long-term tectonic stability has allowed the development of distinctive weathering profiles and hydrogeochemical regimes that control heavy metal mobility and bioavailability in continental platform environments. Practical significance: The findings establish a robust scientific foundation for evidence-based environmental management strategies in geodynamically stable regions worldwide and provide critical baseline data for future environmental monitoring and ecological risk assessment within similar geological and climatic settings across the Ukrainian Shield region. The results support sustainable development initiatives and ecosystem protection programs within the context of ongoing urbanization processes affecting ancient crystalline shield terrains, while contributing to the development of effective environmental management strategies for regions characterized by ancient crystalline basement rocks. This research has important implications for environmental policy development and provides essential data for supporting climate adaptation and urban sustainability initiatives in continental platform settings.
- Alpatova, O., Maksymenko, I., Patseva, I., Khomiak, I., & Gandziura, V. (2022). Hydrochemical state of the post-military operations water ecosystems of the Moschun, Kyiv region. In 16th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment (Vol. 2022, pp. 1-5). https://doi.org/10.3997/2214-4609.2022580145
- Cao, H., Xu, C., Zhang, X., Qin, S., Geng, W., Zhai, B., & Li, X. (2024). Hydrodynamic modeling of heavy metal transport in coastal sediments. Marine Pollution Bulletin, 189, 115327. https://doi.org/10.1016/j.marpolbul.2024.115327
- Chen, Y., Dong, X., Sun, Z., Xu, C., Zhang, X., & Wu, N. (2024). Biogeochemical processes in deep-sea sediments: Implications for metal cycling. Frontiers in Microbiology, 5, 1369102. https://doi.org/10.3389/fmicb.2024.1369102
- Cheng, Y. H., & Su, C. K. (2024). Advanced analytical techniques for trace element determination in environmental samples. Mikrochimica Acta, 191(10), 598. https://doi.org/10.1007/s00604-024-06691-9
- Claesson S., Bibikova E., Bogdanova S., Skobelev V. Archaean terranes, Palaeoproterozoic reworking, and accretion in the Ukrainian Shield, East European Craton. European Lithosphere Dynamics. Geological Society, London, Memoirs. 2006. Vol. 32. P. 645–654. https://doi.org/10.1144/GSL.MEM.2006.032.01.39
- Correggia, M., Di Iorio, L., Bastianoni, A. B., Yücel, M., Cordone, A., & Giovannelli, D. (2024). Analytical protocols for trace elements in hydrothermal systems. Open Research Europe, 4, 90. https://doi.org/10.12688/openreseurope.15699.2
- Custodio, M., Fow, A., De la Cruz, H., Chanamé, F., & Huarcaya, J. (2024). Potential ecological risk from heavy metals in surface sediment of lotic systems in central region Peru. Frontiers in Water, 5, 1295712. https://doi.org/10.3389/frwa.2023.1295712
- Hatje, V., Bruland, K. W., & Flegal, A. R. (2024). The global biogeochemical cycle of the rare earth elements. Global Biogeochemical Cycles, 38, e2024GB008125. https://doi.org/10.1029/2024GB008125
- Hu K., Zhang C., Huang Y., Yin Y., Chen J. Geochemical baselines of heavy metals in the sediments of two large freshwater lakes in China: implications for contamination character and history. Applied Geochemistry. 2012. Vol. 27, № 10. P. 1963-1974. https://doi.org/10.1016/j.apgeochem.2012.04.003
- Huang, H. J., Chai, Y. Z., Xu, C. G., Lei, J. C., & Guo, F. (2024). Determination and application of soil heavy metal geochemical baseline in the Yangtze River Basin. Scientific Reports, 15, 86404. https://doi.org/10.1038/s41598-025-86404-1
- ICOG. The mineral resources of Ukraine. Tierra y Tecnología, Instituto Colegial de Geólogos. 2022. URL: https://www.icog.es/TyT/index.php/2022/05/the-mineral-resources-of-ukraine/
- ISO 11464:2006. Soil quality — Pretreatment of samples for physico-chemical analysis. Geneva : International Organization for Standardization, 2006. 11 p.
- ISO 11466:1995. Soil quality — Extraction of trace elements soluble in aqua regia. Geneva : International Organization for Standardization, 1995. 6 p.
- ISO 5667-12:2017. Water quality — Sampling — Part 12: Guidance on sampling of bottom sediments from rivers, lakes and estuarine areas. Geneva : International Organization for Standardization, 2017. 42 p.
- Issakhov, A., Bulgakov, R., & Zhandaulet, Y. (2023). Numerical modeling of pollutant transport in coastal waters using machine learning approaches. Ocean Engineering, 267, 113789. https://doi.org/10.1016/j.oceaneng.2023.113789
- John, P. M., & Gopinath, A. (2024). An overview of heavy metal pollution in aquatic sediments around the world. In Contaminated Land and Water (pp. 245-278). Springer. https://doi.org/10.1007/978-3-031-65129-8_9
- Jørgensen, B. B. (2021). Sulfur biogeochemical cycle of marine sediments. Geochemical Perspectives, 10(2), 145-307. https://doi.org/10.7185/geochempersp.10.2
- Kapelista I., Kireitseva H., Tsyhanenko-Dziubenko I., Khomenko S. and Vovk V. (2024) Review of innovative approaches for sustainable use of Ukraine's natural resources. Grassroots Journal of Natural Resources 7(3): s378–s395. https://doi.org/10.33002/nr2581.6853.0703ukr19
- Khan, S., Naushad, M., Lima, E. C., Zhang, S., Shaheen, S. M., & Rinklebe, J. (2021). Global soil pollution by toxic elements: current status and future perspectives. Journal of Hazardous Materials, 417, 126039. https://doi.org/10.1016/j.jhazmat.2021.126039
- Liu, T., Johnson, K. S., & Claustre, H. (2022). Sediment release controls trace metal biogeochemistry in upwelling systems. Global Biogeochemical Cycles, 36, e2022GB007466. https://doi.org/10.1029/2022GB007466
- Montazeri, S., Shokri, M., & Zhao, L. (2022). Machine learning approaches for predicting metal bioavailability in coastal sediments. Chemosphere, 308, 136324. https://doi.org/10.1016/j.chemosphere.2022.136324
- Morel, F. M. M., Milligan, A. J., & Saito, M. A. (2023). The biogeochemical cycles of trace metals in the oceans. Science, 300(5621), 944-947. https://doi.org/10.1126/science.1083545
- Mosalem, A., Redwan, M., & Abdel Moneim, A. A. (2024). Distribution, speciation, and assessment of heavy metals in sediments from Wadi Asal, Red Sea, Egypt. Environmental Monitoring and Assessment, 196, 215. https://doi.org/10.1007/s10661-024-12363-1
- NIST SRM 2704. Buffalo River Sediment. Certificate of Analysis. Gaithersburg National Institute of Standards and Technology, 2019. 8 p. URL: https://www.nist.gov/srm
- Peijnenburg, W., Zhao, J., & Vijver, M. (2024). Machine learning applications in environmental risk assessment of potentially toxic elements. Environmental Science & Technology, 58, 8945-8956. https://doi.org/10.1021/acs.est.4c01234
- Quevauviller P., Rauret G., López-Sánchez J. F., Rubio R., Ure A., Muntau H. Certification of trace metal extractable contents in a sediment reference material (CRM 601) following a three-step sequential extraction procedure. Science of the Total Environment. 1997. Vol. 205, № 2-3. P. 223-234. https://doi.org/10.1016/S0048-9697(97)00205-2
- Robledo Ardila, P. A., Álvarez-Alonso, R., Árcega-Cabrera, F., Durán Valsero, J. J., Morales García, R., Lamas-Cosío, E., Oceguera-Vargas, I., & DelValls, A. (2024). Assessment and review of heavy metals pollution in sediments of the Mediterranean Sea. Applied Sciences, 14(4), 1435. https://doi.org/10.3390/app14041435
- Sikakwe, G. U., Orem, W. H., & Tatu, C. A. (2024). Geochemical modeling and hydrochemical analysis for water quality determination around mine drainage areas. Water Environment Research, 96, e10937. https://doi.org/10.1002/wer.10937
- Tang, H., Wu, Q., & Zhang, L. (2024). Advanced kinetic modeling of heavy metal desorption using machine learning algorithms. Journal of Hazardous Materials, 465, 133254. https://doi.org/10.1016/j.jhazmat.2024.133254
- Tsyhanenko-Dziubenko I., Kireitseva H., Demchuk L. and Vovk V. (2023) Hydrochemical determination of the Teteriv River and the Kamianka River eutrophication potential. In 17th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment Vol. 2023(1): 1–5. https://doi.org/10.3997/2214-4609.2023520089
- Tsyhanenko-Dziubenko I., Kireitseva H., Shomko O., Gandziura V. and 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. https://doi.org/10.23939/ep2025.02.135
- Wang, F., Liu, X., & Chen, M. (2023). Hydrodynamic effects on heavy metal release kinetics from contaminated sediments. Water Research, 234, 119821. https://doi.org/10.1016/j.watres.2023.119821
- Yaseen, Z. M., Ebtehaj, I., Kim, S., Sanikhani, H., Asadnia, M., Ghareb, M. I., Bonakdari, H., Wan Mohtar, W. H. M., Al-Ansari, N., & Shahid, S. (2024). Novel hybrid data intelligence model for forecasting monthly rainfall with uncertainty analysis. Water, 16, 1238. https://doi.org/10.3390/w16091238
- Yu, L., Zhang, W., Liu, L., & Yang, X. (2024). Impacts of cadmium accumulation on archaeal communities in marine sediments. Science of the Total Environment, 918, 170795. https://doi.org/10.1016/j.scitotenv.2024.170795
- Zhang, X., Wu, K., Han, Z., Chen, Z., Liu, Z., Sun, Z., Shao, L., Zhao, Z., & Zhou, L. (2022). Microbial diversity and biogeochemical cycling potential in deep-sea sediments. Frontiers in Microbiology, 13, 1029564. https://doi.org/10.3389/fmicb.2022.1029564
- Zhuang, S., Lu, X., Yu, B., Fan, X., & Yang, Y. (2021). Ascertaining the pollution, ecological risk and source of metal (loid)s in the upstream sediment of Danjiang River, China. Ecological Indicators, 125, 107502. https://doi.org/10.1016/j.ecolind.2021.107502