Regression model, artificial intelligence, and cost estimation for phosphate adsorption using encapsulated nanoscale zero-valent iron

被引：43

作者：

Mahmoud, Ahmed S. ^{[1
]}

Mostafa, Mohamed K. ^{[2
]}

Nasr, Mahmoud ^{[3
]}

机构：

[1] Housing & Bldg Natl Res Ctr, Sanit & Environm Engn Res Inst, Giza, Egypt

[2] Zewail City Sci & Technol, Environm Engn Program, Giza, Egypt

[3] Alexandria Univ, Fac Engn, Sanit Engn Dept, Alexandria, Egypt

来源：

SEPARATION SCIENCE AND TECHNOLOGY | 2019年 / 54卷 / 01期

关键词：

Artificial neural network; cost analysis; nZVI/Ca-beads; phosphate adsorption; response surface methodology; CALCIUM ALGINATE BEADS; AQUEOUS-SOLUTION; WASTE-WATER; REMOVAL; NANOPARTICLES; EQUILIBRIUM; BIOSORPTION; GROUNDWATER; ADSORBENT; KINETICS;

D O I：

10.1080/01496395.2018.1504799

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

This study investigated the adsorption of PO43- onto encapsulated nanoscale zero-valent iron (nZVI). At initial PO43-: 10 mg center dot L-1, the optimum condition was initial pH: 6.5, nZVI dosage: 20 g center dot L-1, stirring-rate: 100 rpm, and time: 30 min, achieving PO43- removal of 42%. The effect of pH and time on the PO43- removal efficiency was quadratic-linear concave up, whereas the curve of nZVI dosage was quadratic-convex. Artificial neural network with a structure of 5-7-1 adequately predicted PO43- removal (R-2: 97.6%), and the sensitivity analysis demonstrated that pH was the most influential input. The cost of the adsorption unit was 3.15 $USD center dot m(-3).

引用

页码：13 / 26

页数：14

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