Kinetic Model for Biological Nitrogen Removal Using Shortcut Nitrification-Denitrification Process in Sequencing Batch Reactor
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作者:
Gao, Dawen
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Harbin Inst Technol, State Key Lab Urban Water Resource & Environm, Harbin 150090, Peoples R China
NE Forestry Univ, Sch Forestry, Harbin 150040, Peoples R ChinaHarbin Inst Technol, State Key Lab Urban Water Resource & Environm, Harbin 150090, Peoples R China
Gao, Dawen
[1
,2
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Peng, Yongzhen
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Beijing Univ Technol, Sch Energy & Environm Engn, Beijing 100022, Peoples R ChinaHarbin Inst Technol, State Key Lab Urban Water Resource & Environm, Harbin 150090, Peoples R China
Peng, Yongzhen
[3
]
Wu, Wei-Min
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Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USAHarbin Inst Technol, State Key Lab Urban Water Resource & Environm, Harbin 150090, Peoples R China
Wu, Wei-Min
[4
]
机构:
[1] Harbin Inst Technol, State Key Lab Urban Water Resource & Environm, Harbin 150090, Peoples R China
[2] NE Forestry Univ, Sch Forestry, Harbin 150040, Peoples R China
[3] Beijing Univ Technol, Sch Energy & Environm Engn, Beijing 100022, Peoples R China
[4] Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA
A kinetic model for shortcut nitrification-denitrification process with sequencing batch reactor (SBR) was developed. To test this model, the kinetic parameters of the model including maximum specific rates and half-maximum rate concentrations for shortcut nitrification and denitrification were estimated from the results obtained from a laboratory-scale SBR fed with a soybean curd processing wastewater (400-800 mg COD L-1, 50-65 mg NH4+-N L-1) at 26 degrees C. In the nitrification step, two DO levels (0.5 and 3.5 mg L-1) were tested and the predicated nitrification rates under different NH4+-N concentrations using this model fit well with correlation coefficient R = 0.9902. In the denitrification step, the process of nitrite removal was close to a zero-order reaction if the concentration of electron donor was not so low (COD > 100 mg L-1), and concentrations of nitrite and organic matter (as COD) had limited effect on denitrification rate. The model can be used to predict nitrogen removal performance with different influent NH4+-N and COD concentrations and under various DO concentrations.
机构:
Shenyang Jianzhu Univ, Sch Municipal & Environm Engn, Shenyang, Peoples R ChinaShenyang Jianzhu Univ, Sch Municipal & Environm Engn, Shenyang, Peoples R China
Niu, Mingfen
Yu, Haijiao
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Shenyang Jianzhu Univ, Sch Municipal & Environm Engn, Shenyang, Peoples R ChinaShenyang Jianzhu Univ, Sch Municipal & Environm Engn, Shenyang, Peoples R China