Optimization and Modelling of Chemical Oxygen Demand Removal by ANAMMOX Process Using Response Surface Methodology
Joint Authors
Mesdaghinia, Alireza
Naddafi, Kazem
Mahvi, Amir Husayn
Azimi, Aliakbar
Nabizadeh, Ramin
Jalilzadeh, Ali
Nasseri, Simin
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-21
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A systematic model for chemical oxygen demand (COD) removal using the ANAMMOX (Anaerobic AMMonium OXidation) process was provided based on an experimental design.
At first, the experimental data was collected from a combined biological aerobic/anaerobic reactor.
For modelling and optimization of COD removal, the main parameters were considered, such as COD loading, ammonium, pH, and temperature.
From the models, the optimum conditions were determined as COD 97.5 mg/L, ammonium concentration equal to 28.75 mg-N/L, pH 7.72, and temperature 31.3°C.
Finally, the analysis of the optimum conditions, performed by the response surface method, predicted COD removal efficiency of 81.07% at the optimum condition.
American Psychological Association (APA)
Jalilzadeh, Ali& Nabizadeh, Ramin& Mesdaghinia, Alireza& Azimi, Aliakbar& Nasseri, Simin& Mahvi, Amir Husayn…[et al.]. 2013. Optimization and Modelling of Chemical Oxygen Demand Removal by ANAMMOX Process Using Response Surface Methodology. Journal of Chemistry،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-509053
Modern Language Association (MLA)
Jalilzadeh, Ali…[et al.]. Optimization and Modelling of Chemical Oxygen Demand Removal by ANAMMOX Process Using Response Surface Methodology. Journal of Chemistry No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-509053
American Medical Association (AMA)
Jalilzadeh, Ali& Nabizadeh, Ramin& Mesdaghinia, Alireza& Azimi, Aliakbar& Nasseri, Simin& Mahvi, Amir Husayn…[et al.]. Optimization and Modelling of Chemical Oxygen Demand Removal by ANAMMOX Process Using Response Surface Methodology. Journal of Chemistry. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-509053
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509053