Rice husk: green adsorbent for Pb(II) and Cr(VI) removal from aqueous solution-column study and GA-NN modeling

被引：51

作者：

Mitra, Tania ^{[1
]}

Bar, Nirjhar ^{[1
]}

Das, Sudip Kumar ^{[1
]}

机构：

[1] Univ Calcutta, Dept Chem Engn, 92 APC Rd, Kolkata 700009, W Bengal, India

来源：

SN APPLIED SCIENCES | 2019年 / 1卷 / 05期

关键词：

Rice husk; Fixed-bed adsorption; Thomas model; Yoon-Nelson model; Genetic algorithm; ARTIFICIAL NEURAL-NETWORK; FIXED-BED COLUMN; ACTIVATED CARBON; ADSORPTIVE REMOVAL; HEAVY-METALS; WASTE-WATER; ANN; EQUILIBRIUM; PREDICTION; KINETICS;

D O I：

10.1007/s42452-019-0513-5

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Due to the harmful effects of heavy metal ions such as lead, chromium, and others, an economic and eco-friendly removal process using green adsorbent is required to make water bodies safe. Rice husk is used as an adsorbent in continuous column mode for the removal of Pb(II) and Cr(VI) ions. The variations of column process parameters like influent metal concentration, bed height, the rate of flow, etc., are investigated to study the breakthrough behavior. The higher bed height but lower flow rate and influent concentration give the better result. The experimental data fitted well to that of the empirical models. The Thomas model and Yoon-Nelson model fit the experimental data well. GA-ANN-based hybrid network has been used for modeling purpose.

引用

页数：15

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