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鸟粪石结晶法回收市政污水中磷和氨氮的影响因素研究

Study on Recovery of Phosphorus and Ammonia Nitrogen from Municipal Sewage by Struvite Crystallization
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摘要 为了探究鸟粪石结晶法对市政污水的处理效果和以鸟粪石形式回收氮磷的可行性,利用该方法处理西安市某污水厂的污水和污泥厌氧消化上清液的混合液,探究不同反应条件对磷和氨氮去除效果的影响,并对回收产物进行分析。结果表明:鸟粪石法最佳工艺条件为p H=9.5、n(Mg)/n(P)为1.3、搅拌速度为200 r·min^(-1)、反应时间为20 min,在此条件下磷和氨氮的去除率分别为27.6%和18.5%。利用扫描电镜和X射线能谱仪器对回收产物进行分析发现,回收产物呈现典型的鸟粪石晶体形态,构晶元素的含量与鸟粪石相接近,重金属Cr未检出。因此,回收产物主要为鸟粪石晶体,有较好的回收利用价值。该方法可同步实现市政污水中磷和氨氮的去除和资源化利用。 In order to explore the effect of struvite crystallization method on municipal sewage treatment and the feasibility of nitrogen and phosphorus recovery in the form of struvite,this method was used to treat the mixture of sewage and sludge anaerobic digestion supernatant from a sewage plant in Xi'an city.The effects of different reaction conditions on the removal of phosphorus and ammonia nitrogen were explored,and the recovered products were analyzed.The results showed that the optimal process conditions of struvite method were as follows:the pH was 9.5,n(Mg)/n(P) was 1.3,the stirring speed was 200 r·min^(-1),reaction time was 20 min.Under the above condition,the removal rates of phosphorus and ammonia nitrogen were 27.6% and 18.5%,respectively.The recovered products were analyzed by scanning electron microscopy and X ray energy spectrum instruments.The recovered products showed typical struvite crystal morphology,the content of crystal structuring elements was close to struvite,and the heavy metal Cr was not detected.Therefore,the recovered products are mainly struvite crystals,having good recycling value.This method can simultaneously realize the removal and resource utilization of phosphorus and ammonia nitrogen in municipal sewage.
作者 马宁 沈哲 陈思 刘海华 李瑞娟 MA Ning;SHEN Zhe;CHEN Si;LIU Haihua;LI Ruijuan(Xiˊan Aeronautical Institute,Xiˊan Shaanxi 710003,China)
机构地区 西安航空学院
出处 《当代化工》 2025年第2期342-346,共5页 Contemporary Chemical Industry
基金 陕西省重点研发计划项目(项目编号:2022SF-334) 陕西省自然科学基础研究计划项目(项目编号:2021JQ-849)。
关键词 鸟粪石 市政污水磷回收 最佳工艺条件 回收产物表征 Struvite Municipal sewage phosphorus recovery Optimum condition Characterization of recovered product
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