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Résultats trouvés : Documents
Date de publicationTitreAuteur(s)
1997-07DEFLUORIDATION OF SEPTENTRIONAL SAHARA WATER OF NORTH AFRICA BY ELECTROCOAGULATION PROCESS USING BIPOLAR ALUMINIUM ELECTRODESLounici, Hakim
1999-03BATCH ZINC BIOSORPTION BY A BACTERIAL NONLIVING STREPTOMYCES RIMOSUS BIOMASSLounici, Hakim
1997-08Study of a new technique for fluoride removal from waterLounici, Hakim
1999-04Enhanced ultrafiltration of bovine serum albumin with pulsed electric field and fluidized activated aluminaLounici, Hakim
1999-01Novel technique to regenerate activated alumina bed saturated by fluoride ionsLounici, Hakim
1995-10Treatment of fishery washing water by ultrafiltrationLounici, Hakim
1999-02Enhancement of ultrafiltration flux by coupling static turbulence promoter and electric fieldLounici, Hakim
1998Adsorption, kinetic and equilibrium studies of Cr (VI) by hazelnut shell activated carbon. Authors M Drouiche, H Lounici, N Mameri, DL Piron, M Kharroune, D Erhan, M Kobya, S Elif, T Ozkan, WP Gardiner, G Gettinby, I Guttman, SS Wilks, JS Hunter, L Heys, AV Jamode, VS Sapkal, VS Jamode, SK Deshmukh, KA Krishnan, TS Anirudhan, G Saswati, UC Ghosh, R Schmubi, K Keizer, M Kobya Publication date 1998 Journal Journal of Applied Sciences Volume 6 Issue 11 Pages 551-558 Publisher orgz Description In this study a report on statistical evaluation of some operational factors that influence efficacy of adsorption as a treatment process was presented. A standard 24 factorial matrix was developed and four factors (stirring speed, adsorbent dose initial concentration of the adsorbate and co-ion concentration) were evaluated based on ability of the absorbent to remove cadmium from synthetic waste waters. The study revealed that cadmium adsorption was not significantly influenced by stirring speed of the solution to be treated. On the other hand, initial cadmium concentration, co-ion concentration and adsorbent dose significantly influenced efficiency of the process at 90% confidence level. Mathematical model for cadmium removal was found to be Y = 84.53- 1.83A + 2.59B - 4.18 C + 3.07D. The predictions given by the factorial experiments model agreed with the experimental data. It was then concluded that factorial …Lounici, Hakim