邻氨基苯酚对污泥产率及微生物活性的影响

发布时间：2018-10-08 11:19

【摘要】：为了探讨化学解偶联剂在实现污泥减量的同时对污泥活性抑制作用,通过批次试验研究不同浓度邻氨基苯酚(oAP)对污泥减量效果、微生物活性以及由于微生物活性的改变对基质(NH_4~+-N、COD_(Cr))去除变化的影响.分别采用TTC-ETS(氯代三苯基四氮唑脱氢酶)活性、INT-ETS(碘硝基四氮唑脱氢酶)活性、AUR(氨摄取速率)和SOUR(比耗氧速率)4个指标考察污泥活性受oAP的抑制情况.结果表明:oAP添加量为12mg/L时,平均表观污泥产率Yobs由0.443下降到0.256mg MLSS/mg COD,污泥减量为42.20%.与有机物去除抑制相比,活性污泥系统对NH_4~+-N去除的抑制作用更加显著,而硝化细菌比异养菌对oAP响应更敏感.因此,NH_4~+-N去除率比COD_(Cr)去除率更能反映出oAP对污泥活性的影响.通过NH_4~+-N去除率的抑制对比,AUR是最能有效地表征oAP对活性污泥系统中的微生物抑制作用.通过IC50分析显示,TTC-ETS的活性为35.51mg/L,在所有指标最小,灵敏度最高,是表征oAP抑制污泥活性的最佳指标.
[Abstract]:In order to study the effect of chemical uncoupling agent on sludge reduction and sludge activity inhibition, the effect of different concentration of o-aminophenol (oAP) on sludge reduction was studied by batch test. Microbial activity and the effect of microbial activity on the removal of NH_4~-NCD _ (Cr). The inhibition of sludge activity by oAP was investigated by TTC-ETS (chloro triphenyl tetrazolium dehydrogenase) activity INT-ETS (iodonitro tetrazolium dehydrogenase) activity AUR (ammonia uptake rate) and SOUR (specific oxygen consumption rate). The results showed that the average apparent sludge yield (Yobs) decreased from 0.443 to 42.20 for 0.256mg MLSS/mg COD, sludge when the addition of 12mg/L was used. Compared with the inhibition of organic matter removal, the activated sludge system inhibited the removal of NH_4~ -N more significantly, while nitrifying bacteria were more sensitive to oAP than heterotrophic bacteria. Therefore, the removal rate of NH4- N is better than that of COD_ (Cr), which reflects the effect of oAP on sludge activity. Compared with the inhibition of NH_4~-N removal efficiency, our is the most effective way to characterize the microbial inhibition of oAP in activated sludge system. IC50 analysis showed that the activity of TTC-ETS was 35.51 mg / L, which was the lowest and the highest sensitivity in all indexes. It was the best indicator to characterize the activity of oAP in sludge inhibition.
【作者单位】：安徽工程大学建筑工程学院;河海大学环境学院;宁波市自来水有限公司;
【基金】：国家自然科学基金资助项目(51502106) 安徽高校自然科学基金重点项目(KJ2017A119)
【分类号】：X703

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