Yoon Seong-Hoon, Lee Sangho
Nalco Company, Global Research Center, Naperville, IL 60563-1198, USA.
Water Res. 2005 Sep;39(15):3738-54. doi: 10.1016/j.watres.2005.06.015.
Mathematical models were developed to elucidate the relationships among process control parameters and the effect of these parameters on the performance of anoxic/oxic biological wastewater processes combined with sludge disintegrators (A/O-SD). The model equations were also applied for analyses of activated sludge processes hybrid with sludge disintegrators (AS-SD). Solubilization ratio of sludge in the sludge disintegrator, alpha, hardly affected sludge reduction efficiencies if the biomass was completely destructed to smaller particulates. On the other hand, conversion efficiency of non-biodegradable particulates to biodegradable particulates, beta, significantly affected sludge reduction efficiencies because beta was directly related to the accumulation of non-biodegradable particulates in bioreactors. When 30% of sludge in the oxic tank was disintegrated everyday and beta was 0.5, sludge reduction was expected to be 78% and 69% for the A/O-SD and AS-SD processes, respectively. Under this condition, the sludge disintegration number (SDN), which is the amount of sludge disintegrated divided by the reduced sludge, was calculated to be around 4. Due to the sludge disintegration, live biomass concentration decreased while other non-biodegradable particulates concentration increased. As a consequence, the real F/M ratio was expected to be much higher than the apparent F/M. The effluent COD was maintained almost constant for the range of sludge disintegration rate considered in this study. Nitrogen removal efficiencies of the A/O-SD process was hardly affected by the sludge disintegration until daily sludge disintegration reaches 40% of sludge in the oxic tank. Above this level of sludge disintegration, autotrophic biomass concentration decreases overly and TKN in the effluent increases abruptly in both the A/O-SD and AS-SD processes. Overall, the trends of sludge reduction and effluent quality according to operation parameters matched well with experimental results found in literatures.
开发了数学模型以阐明过程控制参数之间的关系，以及这些参数对结合污泥分解器的缺氧/好氧生物废水处理工艺（A/O-SD）性能的影响。该模型方程还应用于分析与污泥分解器混合的活性污泥工艺（AS-SD）。如果生物质完全分解成更小的颗粒，污泥分解器中污泥的溶解率α对污泥减量效率几乎没有影响。另一方面，不可生物降解颗粒向可生物降解颗粒的转化效率β对污泥减量效率有显著影响，因为β与生物反应器中不可生物降解颗粒的积累直接相关。当每天有30%的好氧池污泥被分解且β为0.5时，预计A/O-SD和AS-SD工艺的污泥减量分别为78%和69%。在此条件下，污泥分解数（SDN），即分解的污泥量除以减少的污泥量，计算约为4。由于污泥分解，活性生物质浓度降低，而其他不可生物降解颗粒浓度增加。因此，实际的F/M比预计远高于表观F/M比。在本研究考虑的污泥分解率范围内，出水COD几乎保持恒定。直到每天的污泥分解量达到好氧池污泥的40%，A/O-SD工艺的脱氮效率才几乎不受污泥分解的影响。超过这个污泥分解水平，在A/O-SD和AS-SD工艺中，自养生物质浓度过度降低，出水总凯氏氮（TKN）突然增加。总体而言，根据运行参数得出的污泥减量和出水水质趋势与文献中的实验结果吻合良好。
