Neural fuzzy modelization of copper removal from water by biosorption in fixed-bed columns using olive stone and pinion shell

被引：37

作者：

Calero, M. ^{[1
]}

Ianez-Rodriguez, I. ^{[1
]}

Perez, A. ^{[1
]}

Martin-Lara, M. A. ^{[1
]}

Blazquez, G. ^{[1
]}

机构：

[1] Univ Granada, Dept Chem Engn, E-18071 Granada, Spain

来源：

BIORESOURCE TECHNOLOGY | 2018年 / 252卷

关键词：

ANFIS; Biosorption; Copper; Heavy metals; Simulation; Wastewater treatment; AQUEOUS-SOLUTION; HEAVY-METALS; WASTE-WATER; BREAKTHROUGH CURVES; RICE STRAW; EXPERIMENTAL-DESIGN; CD(II) BIOSORPTION; ACTIVATED CARBON; METHYLENE-BLUE; ADSORPTION;

D O I：

10.1016/j.biortech.2017.12.074

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

Continuous copper biosorption in fixed-bed column by olive stone and pinion shell was studied. The effect of three operational parameters was analyzed: feed flow rate (2-6 ml/min), inlet copper concentration (40-100 mg/L) and bed-height (4.4-13.4 cm). Artificial Neural-Fuzzy Inference System (ANFIS) was used in order to optimize the percentage of copper removal and the retention capacity in the column. The highest percentage of copper retained was achieved at 2 ml/min, 40 mg/L and 4.4 cm. However, the optimum biosorption capacity was obtained at 6 ml/min, 100 mg/L and 13.4 cm. Finally, breakthrough curves were simulated with mathematical traditional models and ANFIS model. The calculated results obtained with each model were compared with experimental data. The best results were given by ANFIS modelling that predicted copper biosorption with high accuracy. Breakthrough curves surfaces, which enable the visualization of the behavior of the system in different process conditions, were represented.

引用

页码：100 / 109

页数：10

共 49 条

[1] Experimental investigation on removal of heavy metals (Cu2+, Pb2+, and Zn2+) from aqueous solution by flax fibres [J].