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Mahria Hammami,Dorra Jellouli Ennigrou,Karima Horchani-Naifer,Mokhtar Ferid 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.2
The Polyelectrolyte-Assisted UltraFiltration technique has demonstrated its effectiveness in the recovery of neodymium from aqueous solutions. In this study, poly(sodium 4-styrenesulfonate) and polyethylene glycol were selected as the complexing agents. The ultrafiltration experiments were operated using a laboratory scale ultrafiltration system equipped with a polyethersulfone membrane. The effects of various parameters such as polyelectrolyte concentration, applied pressure, NaCl concentration, pH and operating time on neodymium retention and permeation flux were studied. It was observed that the better result was obtained with PSS. The maximum retention was observed at 2×10−4 mol L−1 and 3 bars for both polyelectrolytes. The results showed that the retention increased with the increase of pH. The ionic strength effect has shown a retention decrease with the increasing of salt concentration. Finally, the permeate flux declined following the increment in volume concentration factor, the retention remained constant around 98%.
LASSO-based predictor section in downscaling GCM data
Taesam Lee,Dorra Hammami,TTaesam Lee,Taha B. M. J. Ouarda 한국방재학회 2014 한국방재학회 학술발표대회논문집 Vol.2014 No.-
The objective of the current study is to compare the performances of a classical regression method (SWR) and the LASSO technique for predictor selection. A data set from 9 stations located in the southern region of Quebec that includes 25 predictors measured over 29 years (from 1961 to 1990) is employed. The results indicate that, due to its computational advantages and its ease of implementation, the LASSO technique performs better than SWR and gives better results according to the determination coefficient and the RMSE as parameters forcomparison.