Bomba A. Ya., Klymiuk Yu. Ye.: Mathematical modeling of spatial singular-perturbed filtration-convection-diffusion processes. TzOV firma "Assol", Rivne 2014.
Bomba A. Ya., Prysiazhniuk I. M., Prysiazhniuk O. V.: Methods of perturbation theory for predicting heat transfer processes in porous and microporous media. O. Zen, Rivne 2017.
Bomba A. Ya., Safonyk A. P.: Modeling of nonlinearly perturbed processes of purification of liquids from multicomponent contaminants. NUVHP, Rivne 2017.
Edzwald J.: Water Quality & Treatment. A Handbook on Drinking Water, McGraw-Hill Professional, 2010.
Heikkinen M., Poutiainen H., Liukkonen M., Heikkinen T., Hiltunen Y.: Self-organizing maps in the analysis of an industrial wastewater treatment process. Mathematics and Computers in Simulation 82(3), 2011, 450–459.
DOI: https://doi.org/10.1016/j.matcom.2010.10.021
Hendricks D. W.: Fundamentals of water treatment unit processes: physical, chemical, and biological. CRC Press, Boca Raton 2011.
Ives K. J.: Deep-bed water filters. New developments. Filtr. and Separ. 6(1), 1969, 42–48.
Kalteh A. M., Hjorth P., Berndtsson R.: Review of the self-organizing map (SOM) approach in water resources: analysis, modelling and application. Environmental Modelling and Software 23(7), 2008, 835–845.
DOI: https://doi.org/10.1016/j.envsoft.2007.10.001
Klimjuk Ju. Je.: Construction of filtration fields for rapid filters conical shape with homogeneous porous loads. Proceedings of II International scientific conference “World Science in 2016: Results”. Lulu Press, Morrisville 2017, 95–99.
Klimjuk Ju. Je.: Prediction of changes in the characteristics of filter materials in rapid cone-shaped waterpurifying filters. Innovative solutions in modern science 8(27), 2018, 72–84.
Nevzorova A.B.: Fundamentals of automation of water supply and sanitation. UO BelGUT, Gomel 2005.
Maleki A., Pajootan E., Hayati B.: Ethyl acrylate grafted chitosan for heavy metal removal from wastewater: Equilibrium, kinetic and thermodynamic studies. Journal of the Taiwan Institute of Chemical Engineers 51(0), 2015, 127–134.
DOI: https://doi.org/10.1016/j.jtice.2015.01.004
Maier H. R., Dandy G. C.: Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environmental Modelling and Software 15(1), 2000, 101–124.
DOI: https://doi.org/10.1016/S1364-8152(99)00007-9
Makarevich N. A., Bogdanovich N. I.: The theoretical basis of adsorption. SAFU, Arkhangelsk 2015.
Mincz D. M.: Theoretical foundations of water purification technology. Strojizdat, Moscow 1964.
Safonyk A. P.: Modelling the filtration processes of liquids from multicomponent contamination in the conditions of authentication of mass transfer coefficient. International Journal of Mathematical Models and Methods in Applied Sciences 9, 2015, 189–192.
Sakalova H. V., Vasylinych T. M.: Investigation of the efficiency of purification of heavy metal ions from wastewater using natural adsorbents. TOV Tvory, Vinnytsia 2019.
Vries D., Bertelkamp C., Schoonenberg Kegel F., Hofs B., Dusseldorp J., Bruins J. H., de Vet W., van den Akker B.: Iron and manganese removal: Recent advances in modelling treatment efficiency by rapid sand filtration. Water Research 109, 2017, 35–45.
DOI: https://doi.org/10.1016/j.watres.2016.11.032
Zevi Y., Dewita S., Aghasa A., Dwinandha D.: Removal of Iron and Manganese from Natural Groundwater by Continuous Reactor Using Activated and Natural Mordenite Mineral Adsorption. International IOP Conf. Ser., Earth Environ. Sci, 111, 2018, 012016, 1–7.
DOI: https://doi.org/10.1088/1755-1315/111/1/012016
