Besharati Fard Moein, Mirbagheri Seyed Ahmad, Pendashteh Alireza, Alavi Javad
1Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran.
2Department of Chemical Engineering, University of Guilan, Rasht, Iran.
J Environ Health Sci Eng. 2019 Jul 6;17(2):731-741. doi: 10.1007/s40201-019-00389-4. eCollection 2019 Dec.
In this study three modeling approaches consisting Modified Stover-Kincannon, multilayer perceptron neural network (MLPANN) and B-Spline quasi interpolation were applied in order to predict effluent of up-flow anaerobic sludge blanket (UASB) reactor and also to find the reaction kinetics. At first run, the average total chemical oxygen demand (TCOD) removal efficiency was 48.3% with hydraulic retention time (HRT) of 26 h and 63.8% with HRT of 37 h, at OLR of 0.77-1.66 kg TCOD/m d. At the second run, UASB reactor operated with OLR of 1.94-3.1 kg TCOD/m d and achieved the average TCOD removal efficiency of 64.74 and 72.48% with HRT of 26 and 37 h, respectively. The Modified Stover-Kincannon performed well in terms of kinetic determination with a high value of regression coefficient over 0.98. The B-Spline quasi interpolation and MLPANN indicated a great fit for effluent prediction with average R of 0.9984 and 0.9986, and MSE of 157.6050 and 129.7796, respectively; however, they gave no information about reactions occurred in the system.
在本研究中，应用了三种建模方法，即修正的Stover-Kincannon法、多层感知器神经网络（MLPANN）和B样条准插值法，以预测上流式厌氧污泥床（UASB）反应器的出水，并找出反应动力学。在第一次运行中，在有机负荷率（OLR）为0.77-1.66kg TCOD/m³·d的情况下，水力停留时间（HRT）为26小时时，平均总化学需氧量（TCOD）去除效率为48.3%，HRT为37小时时为63.8%。在第二次运行中，UASB反应器在OLR为1.94-3.1kg TCOD/m³·d的条件下运行，HRT为26小时和37小时时，平均TCOD去除效率分别达到64.74%和72.48%。修正的Stover-Kincannon法在动力学测定方面表现良好，回归系数高达0.98以上。B样条准插值法和MLPANN在出水预测方面拟合度很高，平均R分别为0.9984和0.9986，均方误差（MSE）分别为157.6050和129.7796；然而，它们没有提供关于系统中发生的反应的信息。
