基于微藻培养的养猪废水氨氮吹脱预处理

发布时间：2018-04-03 01:39

  本文选题：微藻　切入点：养猪废水　出处：《浙江大学学报(工学版)》2017年10期

【摘要】：针对养猪废水中氨氮质量浓度过高,会限制微藻生长这一问题,研究3种能源微藻对不同氨氮质量浓度养猪废水的适应性,探讨利用吹脱法对养猪废水中氨氮进行预处理的可行性,考察pH、曝气量和氨氮初始质量浓度对氨氮吹脱效果的影响.结果表明,当废水中氨氮质量浓度≤130mg/L时,小球藻1068和近具刺链带藻CHX1能够很好地生长,葡萄藻765在氨氮质量浓度为90mg/L的废水中生长良好.经吹脱预处理的养猪废水可以满足小球藻、葡萄藻和近具刺链带藻3种微藻生长,且吹脱去除氨氮过程符合一级动力学方程.提高pH和曝气量有助于提高氨氮吹脱去除效率.在综合考虑经济投入和氨氮去除效果2个因素后,确定满足小球藻1068和近具刺链带藻CHX1生长的养猪废水吹脱预处理工艺参数如下:曝气量为1.5L/min、曝气时间为36h;满足葡萄藻765生长的养猪废水吹脱预处理工艺参数为:曝气量1.5L/min、曝气时间为42h,或曝气量为1.5L/min、曝气时间42h.
[Abstract]:For ammonia nitrogen in piggery wastewater by high concentration, this problem will limit the growth of microalgae, adaptability of 3 kinds of energy microalgae to different nitrogen concentration of swine wastewater, to investigate the feasibility of stripping method, the pretreatment of ammonia nitrogen in piggery wastewater on pH, aeration rate and initial ammonia concentration on the removal effect of ammonia nitrogen blowing effect. The results show that when the mass concentration of ammonia nitrogen in wastewater is less than 130mg/L, and nearly 1068 acanthomorphic desmid chain CHX1 can be a good growth of Chlorella, botryococcusbraunii 765 in the concentration of ammonia nitrogen wastewater 90mg/L grew well. The swine wastewater stripping pretreatment can meet the algae Chlorella, grape and near acanthomorphic chain desmid 3 microalgae growth and stripping ammonia removal process with a kinetic equation. The increase of pH and aeration is helpful to improve the removal efficiency of ammonia nitrogen stripping. Considering the economic input and ammonia removal efficiency The 2 factors, determined to meet the Chlorella 1068 and nearly acanthomorphic chain desmid CHX1 growth of swine wastewater stripping pretreatment process parameters are as follows: 1.5L/min of aeration, the aeration time is 36h; meet the 765 growth of swine wastewater botryococcusbraunii stripping pretreatment process parameters: 1.5L /min aeration, the aeration time is 42h or, the aeration was 1.5L/min, aeration time 42h.

【作者单位】： 浙江大学环境与资源学院;
【基金】：水体污染控制与治理科技重大专项资助项目(2014ZX07101-012)
【分类号】：X713
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本文编号：1703084