Open AccessOptimization and Modelling of Chemical Oxygen Demand Removal by ANAMMOX Process Using Response Surface Methodology
Author(s) -
Ali Jalilzadeh,
Ramin Nabizadeh,
Alireza Mesdaghinia,
A A Azimi,
Simin Nasseri,
Amir Hossein Mahvi,
Kazem Naddafi
Publication year - 2013
Publication title -
journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.436
H-Index - 50
eISSN - 2090-9063
pISSN - 2090-9071
DOI - 10.1155/2013/930352
Subject(s) - anammox , chemistry , chemical oxygen demand , response surface methodology , ammonium , anaerobic exercise , oxygen , pulp and paper industry , environmental chemistry , nitrogen , chromatography , environmental engineering , wastewater , denitrification , organic chemistry , environmental science , denitrifying bacteria , engineering , physiology , biology
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
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