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SBR亚硝化处理化肥厂氨氮废水影响因素分析
引用本文:庞荣辉,黄智宁,曹蔓.SBR亚硝化处理化肥厂氨氮废水影响因素分析[J].大众科技,2014(6):81-84.
作者姓名:庞荣辉  黄智宁  曹蔓
作者单位:[1]南宁化工集团,广西南宁530000 [2]广西大学环境学院,广西南宁530004
摘    要:利用SBR亚硝化处理化肥厂实际废水,研究其短程生物脱氮过程中pH、溶解氧、进水氨氮负荷和温度等因素影响,并确定亚硝化处理的最佳操作条件。结果表明,pH过低会抑制亚硝酸盐的生成,过高则不利于反硝化菌反硝化过程TN的去除;当pH值控制在8.0左右时,亚硝化率保持较高水平,同时出水TN浓度控制较好。当DO浓度为0.2~0.3 mg/L时,亚硝化反应继续进行,但NH4+-N亚硝化反应速率较慢;当DO浓度为1.5~2.8 mg/l时,无法实现系统中亚硝化的运行,硝化作用成为主要反应。高氨氮负荷进水有利于亚硝酸盐的积累,但对出水氨氮去除效果不佳。较高的温度有利于亚硝化反应进行。当t=35℃,初始pH控制在7.8~8.2,DO控制在0.5~0.6mg/L,进水浓度NH4+-N为100mg/L时,SBR亚硝化操作过程为最佳,此时亚硝化率基本稳定在90%以上。

关 键 词:SBR法  亚硝化  影响因素  最佳条件

Influence factors of treatment by nitrosation in sequencing batch reactor with ammonia-nitrogen wastewater of fertilizer plant
Abstract:A lab-scale batch sequencing reactor (SBR) was used to treat ammonia-nitrogen wastewater of fertilizer plant and factors affecting the short-cut biological nitrogen removal, such as pH, DO, effluent of NH4+-N and temperature etc., were investigated. The optimum operating condition of nitrosation by SBR was confirmed. It reveals that pH value over low restrained generation of nitrite when pH value over high prejudiced the removal of TN through denitrification by denitrificans. Nitrosation rate remained high level and effluent of TN was well controlled as the pH value was approximately maintained 8.0. When DO was 0.2~0.3 mg/L, the reaction rate of nitrosation was slow as the partial nitrification was still going on. The nitrosation in system couldn’t achieved and nitrification became maim reaction while DO was 1.5~2.8 mg/l. Nitrite was abundantly accumulated at high ammonia nitrogen load from inflow while the removal efficiency of NH4+-N was not good. High nitrosation rate can be obtained at relatively high temperature. The optimum operating conditions were controlled as follows: temperature at 35℃, pH of initial inflow at 7.8 to 8.2, DO at 0.5 to 0.6 mg/L and influent concentration of NH4+-N at 100mg/L. The nitrosation rate can be retained above 90%in optimum operating conditions.
Keywords:SBR  nitrosation  influence factors  optimum operating condition
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