Partial nitrification to nitrite using real-time aeration duration control - 文章详情页

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The　kinetic　mechanism　and　operation　for　partial　nitrification　using　real-time　aeration　duration　control　was　analyzed　for　municipal　wastewater　treatment.　The　validation　experiment　was　conducted　in　3　sequencing　batch　reactors　with　cross　section　shapes　and　various　volumes　using　domestic　wastewater　as　the　influent.　Analysis　shows　that　more　nitrogen　is　oxidized　by　ammonia　oxidizing　bacteria　(AOB)　than　by　nitrite　oxidizing　bacteria　(NOB)　with　more　growth　of　the　AOB　than　the　NOB　in　each　cycle　when　using　this　method.　The　nitrite　accumulation　increases　after　long-term　application　of　real-time　aeration　duration　control.　Partial　nitrification　to　nitrite　with　nitrite　accumulation　ratios　of　over　80%　was　successfully　achieved　using　real-time　control　in　the　three　reactors.

关键词：

Activated sludge process Ammonia Bacteria Batch reactors Nitration Nitrification Nitrogen removal Real time control Wastewater treatment

作者机构：

[ 1 ] [Guo, Jianhua]School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, China
[ 2 ] [Peng, Yongzhen]School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, China
[ 3 ] [Peng, Yongzhen]Key Laboratory of Beijing for Water Quality Science and Water Environmental Recovery Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Huang, Huijun]Key Laboratory of Beijing for Water Quality Science and Water Environmental Recovery Engineering, Beijing University of Technology, Beijing 100124, China
[ 5 ] [Zheng, Yanan]Key Laboratory of Beijing for Water Quality Science and Water Environmental Recovery Engineering, Beijing University of Technology, Beijing 100124, China
[ 6 ] [Wang, Zhongwei]Key Laboratory of Beijing for Water Quality Science and Water Environmental Recovery Engineering, Beijing University of Technology, Beijing 100124, China
[ 7 ] [Sun, Zhirong]Key Laboratory of Beijing for Water Quality Science and Water Environmental Recovery Engineering, Beijing University of Technology, Beijing 100124, China

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pyz@bjut.edu.cn

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