Optimizing the removal of strontium and cesium ions from binary solutions on magnetic nano-zeolite using response surface methodology (RSM) and artificial neural network (ANN)-Reference-Cited by-同舟云学术

Optimizing the removal of strontium and cesium ions from binary solutions on magnetic nano-zeolite using response surface methodology (RSM) and artificial neural network (ANN)

Published:2019-06 Issue: Volume:173 Page:397-410
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Abdel Rahman R.O.,Abdel Moamen O.A.,Abdelmonem N.,Ismail I.M.

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference69 articles.

1. Factorial design analysis for optimizing the removal of cesium and strontium ions on synthetic nano-sized zeolite;Abdel Moamen;J. Taiwan Inst. Chem. E.,2015

2. Thermodynamic analysis for the sorptive removal of cesium and strontium ions onto synthesized magnetic nano zeolite;Abdel Moamen;Microporous Mesoporous Mater.,2016

3. Comparative study of leaching conceptual models: Cs leaching from different ILW cement based matrices;Abdel Rahman;Chem. Eng. J.,2011

4. Modeling the long term leaching behavior of 137Cs, 60Co, and152,154Eu radionuclides from cement- clay matrices;Abdel Rahman;Hazard. Mater.,2007

5. Long-term performance of zeolite Na A-X blend as backfill material in near surface disposal vault;Abdel Rahman;Chem. Eng. J.,2009

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