Regression model, artificial neural network, and cost estimation for biosorption of Ni(II)-ions from aqueous solutions by Potamogeton pectinatus-Reference-Cited by-同舟云学术

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Regression model, artificial neural network, and cost estimation for biosorption of Ni(II)-ions from aqueous solutions by Potamogeton pectinatus

Published:2018-03-21 Issue:4 Volume:20 Page:321-329
ISSN:1522-6514
Container-title:International Journal of Phytoremediation
language:en
Short-container-title:International Journal of Phytoremediation

Author:

Fawzy Manal¹^ORCID,Nasr Mahmoud²^ORCID,Adel Samar³,Helmi Shacker³

Affiliation:

1. Department of Environmental Sciences, Faculty of Science, Alexandria University, Alexandria, Egypt

2. Sanitary Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, Egypt

3. Department of Environmental Studies, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt

Publisher

Informa UK Limited

Subject

Plant Science,Pollution,Environmental Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/15226514.2017.1381941

Reference24 articles.

1. Strong Genetic Differentiation of Submerged Plant Populations across Mountain Ranges: Evidence from Potamogeton pectinatus in Iran

2. Degradation of four pharmaceuticals by solar photo-Fenton process: Kinetics and costs estimation

3. Kinetic, equilibrium and thermodynamic investigations of Ni(II), Cd(II), Cu(II) and Co(II) adsorption on barley straw ash

4. Nonlinear Relationship of Near-Bed Velocity and Growth of Riverbed Periphyton

5. Biosorptive uptake of Fe 2+ , Cu 2+ and As 5+ by activated biochar derived from Colocasia esculenta : Isotherm, kinetics, thermodynamics, and cost estimation

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