Optimization of Nitrogen Removal in Solid Carbon Source SND for Treatment of Low-Carbon Municipal Wastewater with RSM Method
| Autor: | Shu-geng Li, Pei-fen He, You-wen Huang, Deng-min Wang, Li-qiu Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Hydraulic engineering
0208 environmental biotechnology Geography Planning and Development chemistry.chemical_element Future application 02 engineering and technology 010501 environmental sciences Aquatic Science Simultaneous nitrification-denitrification 01 natural sciences Biochemistry Nitrogen removal simultaneous nitrification and denitrification lcsh:Water supply for domestic and industrial purposes lcsh:TC1-978 solid carbon source response surface models 0105 earth and related environmental sciences Water Science and Technology lcsh:TD201-500 Chemistry Pulp and paper industry Nitrogen 020801 environmental engineering nitrogen removal low-carbon wastewater Wastewater Solid carbon Aeration Carbon |
| Zdroj: | Water, Vol 10, Iss 7, p 827 (2018) Water Volume 10 Issue 7 |
| ISSN: | 2073-4441 |
| Popis: | In this work, a loofah sponge was used as the solid carbon source and the carrier in a biofilm reactor. Simultaneous nitrification and denitrification (SND) technology was used to achieve nitrogen removal in low-carbon municipal wastewater in a sequencing batch biofilm reactor (SBBR). At room temperature, the effects of filling ratio, dissolved oxygen (DO), pH, C/N(CODCr/TN), and aeration time on the removal of nitrogen were systematically studied. In addition, the removal efficiency of total nitrogen (TN) was used as the evaluation index in response surface models (RSM) for optimization of nitrogen removal. The results showed that DO, pH, and aeration time affected nitrogen removal significantly. Therefore, DO, pH, and aeration time were used as the independent variables in RSM. The optimum conditions for nitrogen removal were found to be as follows in RSM: DO = 4.09 mg/L, pH = 7.58, aeration time = 10.47 h. Under the optimum conditions, the maximum TN removal efficiency reached 86.27%. The results also demonstrated that the deviation between the experimental and predicted TN removal efficiency was only 0.58%, the predicted model was reliable for future application. |
| Databáze: | OpenAIRE |
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