State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China.
J Hazard Mater. 2011 Jan 30;185(2-3):905-13. doi: 10.1016/j.jhazmat.2010.09.106. Epub 2010 Oct 7.
A full-scale test was conducted with an up-flow anaerobic sludge blanket (UASB) pre-treating pharmaceutical wastewater containing 6-aminopenicillanic acid (6-APA) and amoxicillin. The aim of the study is to investigate the performance of UASB in the condition of a high chemical oxygen demand (COD) loading rate from 12.57 to 21.02 kgm(-3)d(-1) and a wide pH from 5.57 to 8.26, in order to provide a reference for treating the similar chemical synthetic pharmaceutical wastewater containing 6-APA and amoxicillin. The results demonstrated that the UASB average percentage reduction in COD, 6-APA and amoxicillin were 52.2%, 26.3% and 21.6%, respectively. In addition, three models, built on the back propagation neural network (BPNN) theory and linear regression techniques were developed for the simulation of the UASB system performance in the biodegradation of pharmaceutical wastewater containing 6-APA and amoxicillin. The average error of COD, 6-APA and amoxicillin were -0.63%, 2.19% and 5.40%, respectively. The results indicated that these models built on the BPNN theory were well-fitted to the detected data, and were able to simulate and predict the removal of COD, 6-APA and amoxicillin by UASB.
采用上流式厌氧污泥床（UASB）对含有 6-氨基青霉烷酸（6-APA）和阿莫西林的医药废水进行了全规模试验。本研究旨在考察 UASB 在高化学需氧量（COD）负荷率（12.57-21.02 kg COD/m³/d）和宽 pH 值（5.57-8.26）条件下的运行性能，为处理含有 6-APA 和阿莫西林的类似化学合成医药废水提供参考。结果表明，UASB 对 COD、6-APA 和阿莫西林的平均去除率分别为 52.2%、26.3%和 21.6%。此外，基于反向传播神经网络（BPNN）理论和线性回归技术，建立了三个模型，用于模拟 UASB 系统在生物降解含有 6-APA 和阿莫西林的医药废水中的性能。COD、6-APA 和阿莫西林的平均误差分别为-0.63%、2.19%和 5.40%。结果表明，基于 BPNN 理论建立的这些模型与检测数据拟合良好，能够模拟和预测 UASB 对 COD、6-APA 和阿莫西林的去除。
