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Mathematical Prediction of Sorption Processes of Heavy Metals on Cation Exchangers Using the Thomas Model

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
On a production scale, it is advisable to use mathematical models for predicting the treatment of effluents from heavy metal ions, which will increase the efficiency of enterprises. The sorption processes of copper, zinc, nickel and cadmium ions on the KU-2-8 cation exchange resin in the acid form at different concentrations were studied in this scientific work. At the same time, the sorption curves calculated were constructed using the Thomas model. The study results showed that this model very clearly describes the sorption processes of metals on the resin. Thus, it can be used to predict the processes of wastewater treatment in production.
Rocznik
Strony
232--236
Opis fizyczny
Bibliogr. 14 poz., rys., tab.
Twórcy
  • Admiral Makarov National University of Shipbuilding, 54025, Heroiv Ukrainy av. 9, Mykolaiv, Ukraine
  • Admiral Makarov National University of Shipbuilding, 54025, Heroiv Ukrainy av. 9, Mykolaiv, Ukraine
  • Kyiv Polytechnic Institute, National Technical University of Ukraine, 03056, Peremogy av. 37, Kyiv, Ukraine
Bibliografia
  • 1. Chen J.P. 2012. Decontamination of Heavy Metals: Processes, Mechanisms, and Applications. CRC Press/Taylor and Francis Group, USA.
  • 2. Dolina L.F. 2008. Sovremennaya tekhnika i tekhnologii dlya ochistki stochnykh vod ot soley tyazhelykh metallov: monografiya. Kontinent, Dnepropetrovsk. (in Russian)
  • 3. Hanbali M., Holail H., Hammud H. 2014. Remediation of lead by pretreated red algae: adsorption isotherm, kinetic, column modeling and simulation studies. Green Chemistry Letters and Reviews, 7(4), 342–358. DOI: 10.1080/17518253.2014.955062.
  • 4. Jaiswal A., Verma A., Jaiswal P. 2018. Detrimental Effects of Heavy Metals in Soil, Plants, and Aquatic Ecosystems and in Humans. J Environ Pathol Toxicol Oncol., 37(3), 183–197. DOI: 10.1615/JEnvironPatholToxicolOncol.2018025348.
  • 5. Koliehova A., Trokhymenko H., Melnychuk S., Gomelya M. 2019. Treatment of Wastewater Containing a Mixture of Heavy Metal Ions (CopperZinc, Copper-Nickel) using Ion-Exchange Methods. Journal of Ecological Engineering, 20(11), 146–151. DOI: 10.12911/22998993/112746
  • 6. Li R., Tang X., Guo W., Lin L., Zhao L., Hu Y., Liu M. 2020. Spatiotemporal distribution dynamics of heavy metals in water, sediment, and zoobenthos in mainstream sections of the middle and lower Changjiang River. Science of The Total Environment, 714, 136779. DOI: 10.1016/j.scitotenv.2020.136779.
  • 7. Mance G. 1987. Pollution threat of heavy metals in aquatic environments. Springer Netherlands, England.
  • 8. Mushtaq N., Singh D.V., Bhat R.A., Dervash M.A., Hameed O. 2020. Freshwater Contamination: Sources and Hazards to Aquatic Biota. Fresh Water Pollution Dynamics and Remediation. Springer, Singapore. DOI: 10.1007/978-981-13-8277-2_3
  • 9. Nwabanne J., Igbokwe P. 2012. Kinetic Modeling of Heavy Metals Adsorption on fixed bed Column. International Journal of Environmental Research, 6(4), 945–952. DOI: 10.22059/ijer.2012.565.
  • 10. Pawan K.B. 2012. Heavy Metals in Environment. Lambert Academic Publishing, Germany.
  • 11. Sonone S., Jadhav S., Singh Sankhla M., Kumar R. 2020. Water Contamination by Heavy Metals and their Toxic Effect on Aquaculture and Human Health through Food Chain. Letters in Applied NanoBioScience, 10, 2148–2166. DOI: 10.33263/LIANBS102.21482166.
  • 12. Thomas H.C. 1944. Heterogeneous Ion Exchange in a Flowing System. J. Am. Chem. Soc., 66, 1664–1666. DOI: 10.1021/ja01238a017.
  • 13. Xu Z., Cai J., Pan B. 2013. Mathematically modeling fixed-bed adsorption in aqueous systems. J. Zhejiang Univ. Sci. A., 14, 155–176. doi:10.1631/jzus.A1300029.
  • 14. Zhou Q., Yang N., Li Y., Ren B., Ding X., Bian H., Yao X. 2020. Total concentrations and sources of heavy metal pollution in global river and lake water bodies from 1972 to 2017. Global Ecology and Conservation, 22, e00925. DOI: 10.1016/j.gecco.2020.e00925.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-055865ed-4904-4420-a1af-c2a2deaba501
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