References

  1. WHO, World Health Report 2013: The Quest for Universal Health Coverage, World Health Organization, Geneva, Switzerland, 2013.
  2. UNPD, Human Development Report 2009 Overcoming Barriers: Human Mobility and Development, United Nations Development Programme, New York, USA, 2009.
  3. S. Mukherjee, Mineral Chemistry, in: Applied Mineralogy, Springer International Publishing, Dordrecht, Netherlands, 2011, pp. 54–79.
  4. W. Kaim, B. Schwederski, A. Klein, Bioinorganic Chemistry-- Inorganic Elements in the Chemistry of Life: An Introduction and Guide, John Wiley & Sons, New York, USA, 2013.
  5. M. Larakeb, L. Youcef, S. Achour, Removal of zinc from water by adsorption on bentonite and kaolin, Athens J. Sci., 4 (2017) 47–58.
  6. M.I. Carretero, Clay minerals and their beneficial effects upon human health. A review, Appl. Clay Sci., 21 (2002) 155–163.
  7. R. Zhang, L. Zhou, F. Zhang, Y. Ding, J. Gao, J. Chen, H. Yan, W. Shao, Heavy metal pollution and assessment in the tidal flat sediments of Haizhou Bay, China, Mar. Pollut. Bull., 74 (2013) 403–412.
  8. G. Mimanne, K. Benhabib, A. Benghalem, S. Taleb, Study of the adsorption of heavy metals (Pb and Cd) in aqueous solution on activated carbon and sodium montmorillonite from Western Algeria, J. Mater. Environ. Sci., 5 (2014) 1298–1307.
  9. World Health Organization, International Agency for Research on Cancer (IARC), World Cancer Report: Cancer Research for Cancer Prevention, IARC, Geneva, Switzerland, 2020.
  10. A.V. Ramanakumar, M.-É. Parent, B. Latreille, J. Siemiatycki, Risk of lung cancer following exposure to carbon black, titanium dioxide and talc: results from two case-control studies in Montreal, Int. J. Cancer, 122 (2008) 183–189.
  11. S. Degrémont, Mémento technique de l’eau, Degrémont, 2005.
  12. M. Larakeb, L. Youcef, S. Achour, Etude comparative de l’élimination du zinc par adsorption sur la goethite et sur la bentonite de Maghnia, LARHYSS J., 19 (2014) 87–100.
  13. A. Politano, G. Chiarello, G. Benedek, E.V. Chulkov, P.M. Echenique, Vibrational spectroscopy and theory of alkali metal adsorption and co-adsorption on single-crystal surfaces, Surf. Sci. Rep., 68 (2013) 305–389.
  14. C. Vagner, Caractérisation de surface d’adsorbants carbonés et étude des équilibres et cinétiques d’adsorption en phase gazeuse, Université Paul Verlaine-Metz, France, 2003.
  15. M.D.A. Bolland, A.M. Posner, J.P. Quirkk, Zinc adsorption by goethite in the absence and presence of phosphate, Aust. J. Soil Res., 15 (1977) 279–286.
  16. M. Bali, H. Tlili, Removal of heavy metals from wastewater using infiltration-percolation process and adsorption on activated carbon, Int. J. Environ. Sci. Technol., 16 (2019) 249–258.
  17. M. Bashir, C. Mohan, S. Tyagi, A. Annachhatre, Copper removal from aqueous solution using chemical precipitation and adsorption by Himalayan Pine Forest Residue as Biochar, Water Sci. Technol., 86 (2022) 530–554.
  18. M. Djab, B. Makhoukhi, Adsorption of cadmium onto modified bentonites from aqueous solutions, J. Mater. Environ. Sci., 9 (2018) 2238–2246.
  19. T. Kanti Sen, C. Khoo, Adsorption characteristics of zinc (Zn2+) from aqueous solution by natural bentonite and kaolin clay minerals: a comparative study, Comput. Water Energy Environ. Eng., 2 (2013) 1–6.
  20. F. Mohammed-Azizi, S. Dib, M. Boufatit, Removal of heavy metals from aqueous solutions by Algerian bentonite, Desal. Water Treat., 51 (2013) 4447–4458.
  21. F. Al Mardini, B. Legube, Effect of the adsorbate (Bromacil) equilibrium concentration in water on its adsorption on powdered activated carbon. Part 3: competition with natural organic matter, J. Hazard. Mater., 182 (2010) 10–17.
  22. K. Addouch, S. Seddari, H. Cherifi, R. Yous, R. Khalladi, Raw clay for ibuprofen and chlortetracycline removal from aqueous solution, Desal. Water Treat., 265 (2022) 134–145.
  23. S. Guergazi, D. Amimeur, S. Achour, Elimination des Substances Humiques de deux Eaux de Surface Algériennes par Adsorption sur Charbon Actif et sur Bentonite, LARHYSS J., 13 (2013) 125–137.
  24. S.K. Bhagat, T.M. Tung, Z.M. Yaseen, Development of artificial intelligence for modeling wastewater heavy metal removal: state of the art, application assessment and possible future research, J. Cleaner Prod., 250 (2020) 119473, doi: 10.1016/j.jclepro.2019.119473.
  25. G. Alam, I. Ihsanullah, Mu. Naushad, M. Sillanpää, Applications of artificial intelligence in water treatment for optimization and automation of adsorption processes: recent advances and prospects, Chem. Eng. J., 427 (2022) 130011, doi: 10.1016/j.cej.2021.130011.
  26. Z.U. Ahmad, L. Yao, Q. Lian, F. Islam, M.E. Zappi, D.D. Gang, The use of artificial neural network (ANN) for modeling adsorption of sunset yellow onto neodymium modified ordered mesoporous carbon, Chemosphere, 256 (2020) 127081, doi: 10.1016/j.chemosphere.2020.127081.
  27. A. Kiraz, O. Canpolat, E.F. Erkan, Özer, Artificial neural networks modeling for the prediction of Pb(II) adsorption, Int. J. Environ. Sci. Technol., 16 (2019) 5079–5086.
  28. S. Joshi, S. Bajpai, S. Jana, Application of ANN and RSM on fluoride removal using chemically activated D. sissoo sawdust, Environ. Sci. Pollut. Res., 27 (2020) 17717–17729.
  29. M. Ferhat, Co-adsorption des métaux lourds sur la bentonite modifiée en présence de floculants minéral et biologique, University of Tizi Ouzou, Algeria, 2012.
  30. B. Anna, M. Kleopas, S. Constantine, F. Anestis, B. Maria, Adsorption of Cd(II), Cu(II), Ni(II) and Pb(II) onto natural bentonite: study in mono-and multi-metal systems, Environ. Earth Sci., 73 (2015) 5435–5444.
  31. M.A. Rauf, M.J. Iqbal, M. Ikram, N. Rauf, Adsorption studies of Ni(II) from aqueous solution onto bentonite, J. Trace Microprobe Tech., 21 (2003) 337–342.
  32. K. Kadirvelu, C. Faur-Brasquet, P. Le Cloirec, Removal of Cu(II), Pb(II), and Ni(II) by adsorption onto activated carbon cloths, Langmuir, 16 (2000) 8404–8409.
  33. Y.B. Onundi, A.A. Mamun, M.F. Al Khatib, Y.M. Ahmed, Adsorption of copper, nickel and lead ions from synthetic semiconductor industrial wastewater by palm shell activated carbon, Int. J. Environ. Sci. Technol., 7 (2010) 751–758.
  34. M. Fan, J. Hu, R. Cao, K. Xiong, X. Wei, Modeling and prediction of copper removal from aqueous solutions by nZVI/rGO magnetic nanocomposites using ANN-GA and ANN-PSO, Sci. Rep., 7 (2017) 18040, doi: 10.1038/s41598-017-18223-y.
  35. S. Mandal, S.S. Mahapatra, M.K. Sahu, R.K. Patel, Artificial neural network modelling of As(III) removal from water by novel hybrid material, Process Saf. Environ. Prot., 93 (2015) 249–264.
  36. R.R. Karri, J.N. Sahu, Modeling and optimization by particle swarm embedded neural network for adsorption of zinc(II) by palm kernel shell based activated carbon from aqueous environment, J. Environ. Manage., 206 (2018) 178–191.
  37. M. Bouhedda, Architectures neuronales pour la conversion analogique/numérique, Editions Universitaires Européennes, 2011.
  38. S. Rebouh, M. Bouhedda, S. Hanini, A. Djellal, Neural Modeling Adsorption of Copper, Chromium, Nickel, and Lead from Aqueous Solution by Natural Wastes BT - Progress in Clean Energy, I. Dincer, C.O. Colpan, O. Kizilkan, M.A. Ezan, Eds., Volume 1: Analysis and Modeling, Springer International Publishing, Cham, 2015, pp. 341–356.
  39. G.V.S.R. Pavan Kumar, K.A. Malla, B. Yerra, K. Srinivasa Rao, Removal of Cu(II) using three low-cost adsorbents and prediction of adsorption using artificial neural networks, Appl. Water Sci., 9 (2019) 44, doi: 10.1007/s13201-019-0924-x.
  40. J.A. Darsey, Neural Networks in Chemical and Physical Systems, World Scientific Press, London, UK, 2004.
  41. S. Mirjalili, Evolutionary Algorithms and Neural Networks, in: Studies in Computational Intelligence, Springer International Publishing, Cham, Switzerland, 2019.
  42. S. Rebouh, Utilisation des différentes techniques d’intelligence artificielle pour la modélisation du procédé de séparation par adsorption solide-liquide: étude comparative, University of Medea, Algeria, 2015.
  43. M. Hassoun, Fundamentals of Artificial Neural Networks, MIT Press, Cambridge, Massachusetts, USA, 2003.
  44. P.S. Pauletto, G.L. Dotto, N.P.G. Salau, Optimal artificial neural network design for simultaneous modeling of multicomponent adsorption, J. Mol. Liq., 320 (2020) 114418, doi: 10.1016/j.molliq.2020.114418.
  45. A. El Hanandeh, Z. Mahdi, M.S. Imtiaz, Modelling of the adsorption of Pb, Cu and Ni ions from single and multicomponent aqueous solutions by date seed derived biochar: comparison of six machine learning approaches, Environ. Res., 192 (2021) 110338, doi: 10.1016/j.envres.2020.110338.
  46. M. Ashrafi, H. Borzuie, G. Bagherian, M.A. Chamjangali, H. Nikoofard, Artificial neural network and multiple linear regression for modeling sorption of Pb2+ ions from aqueous solutions onto modified walnut shell, Sep. Sci. Technol., 55 (2020) 222–233.
  47. M.K. Sahu, S. Mandal, S.S. Dash, P. Badhai, R.K. Patel, Removal of Pb(II) from aqueous solution by acid activated red mud, J. Environ. Chem. Eng., 1 (2013) 1315–1324.
  48. R. Yous, R. Khalladi, H. Cherifi, Simultaneous sorption of heavy metals on Algerian bentonite: mechanism study, Water Sci. Technol., 84 (2021) 3676–3688.
  49. K. Bellir, M.B. Lehocine, A.H. Meniai, Zinc removal from aqueous solutions by adsorption onto bentonite, Desal. Water Treat., 51 (2013) 5035–5048.
  50. O. Abollino, M. Aceto, M. Malandrino, C. Sarzanini, E. Mentasti, Adsorption of heavy metals on
    Na-montmorillonite. Effect of pH and organic substances, Water Res., 37 (2003) 1619–1627.
  51. R. Yous, H. Cherifi, R. Khalladi, Kinetic models of competitive adsorption of cadmium-iron mixture on montmorillonite, Desal. Water Treat., 221 (2021) 207–217.
  52. N. Karapinar, R. Donat, Adsorption behaviour of Cu2+ and Cd2+ onto natural bentonite, Desalination, 249 (2009) 123–129.