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反硝化聚磷SBR与微动力曝气组合技术处理猪场废水的研究
摘要点击 1627  全文点击 2239  投稿时间:2007-07-06  修订日期:2007-11-09
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中文关键词  反硝化聚磷  SBR  微动力  同步脱氮除磷
英文关键词  DNPAO  SBR  low-intensity  simultaneous nitrogen and phosphorus removal
作者单位
吕梁 浙江大学生态环境研究中心, 杭州 310029 
王兆德 浙江大学生态环境研究中心, 杭州 310029 
张帅 浙江大学生态环境研究中心, 杭州 310029 
张志剑 浙江大学生态环境研究中心, 杭州 310029 
中文摘要
      在实验室模拟条件下, 以猪场废水(粪尿及冲洗水等混合废水)为例, 研究传统SBR(A/O模式)与反硝化聚磷(DNPAO)SBR在脱氮除磷及有机质降解方面的可行性及其功效. 结果发现,采用传统SBR工艺直接处理猪场废水, 其处理系统效率较低, 处理效果不稳定, 出水水质不佳, 废水处理后出水TN、TP和BOD5的去除率分别为89.08%、86.04%和93.88%. 而改用反硝化聚磷SBR,同时配以微动力曝气法, 采用废水输入两步法与双循环“厌氧-缺氧/微氧" 运行模式, 可实现猪场废水TN、TP和BOD5去除率分别高达93.95%、99.26%和99.93%. 由于其独特的工艺设计可使处理水NO-3 浓度和输出负荷 “双低". 同时ORP、pH与DO 3项关键参数的动态变化可以间接地揭示微动力曝气SBR技术运行状态及出水水质,但在实际条件下的中试运行成效有待于进一步研究.
英文摘要
      The wastewater from animal farms in China is threatening the quality and security of local water environment. In the laboratory scale, a traditional SBR(A/O) and a denitrifying phosphorus-accumulating organisms(DNPAO) sequencing batch reactor(SBR) in biologically removing nutrients and organic matters from swine manure were investigated in this study. When piggery wastewater was directly treated with a traditional SBR, the efficiency was low with unstable working state, the reduction of TN,TP and BOD5 reached 89.08%,86.04% and 93.88%, respectively. While it performs a good effect in treating high density of piggery wastewater using DNPAO SBR technology, with the help of low-density aeration, two-step of influent feeding and two circulations of anaerobic-anoxic-anaerobic-anoxic(An/Ax\-2), the reduction of TN,TP and BOD5 reached the maximums of 93.95%,99.26% and 99.93%, respectively. The specific operation of (An/Ax\-2) SBR contributed both low concentrations and limited export loads of NO-3. The temporal curves of ORP,pH and DO over time could be indicators for simultaneous removals of nitrogen and phosphorus along with biodegradation of organic matter during this specific SBR running. A pilot-scale investigation was recommended to further testify the feasibility and efficiency of this kind of SBR under the real-world condition.

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