用活性污泥模型研究、生物动力学计算和模拟一个真实的联合工业废水生物处理过程

IF 1.3 Q4 ENVIRONMENTAL SCIENCES Environmental Health Engineering and Management Journal Pub Date : 2022-10-21 DOI:10.34172/ehem.2022.35
B. Bina, N. Nikzad, Soudabeh Ghodsi, S. Momeni, H. Movahedian Attar, Mahsa Janati, F. Mohammadi
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引用次数: 0

摘要

背景:工业园区联合工业废水的处理是最复杂、最困难的废水处理工艺之一。此外,用于预测这些过程性能的生物模型的准确性还没有得到充分的评估。因此,本研究在伊朗伊斯法罕省的杰伊工业园区实施了国际水质协会(IAWQ) - 1号活性污泥模型(ASM1)。方法:杰伊IPWWTP工艺是厌氧与好氧生物工艺的结合。为了评价IPWWTP的整体性能,在6个月内测量了有机化合物、悬浮物、营养物质、附着生物量和一些运行参数。然后,利用Monod方程确定好氧过程的生物动力学系数。最后,使用在STOAT软件中实现的ASM1对有氧过程进行建模。结果:生物动力学系数K、Y、Ks、Kd和µmax分别为2.7d-、0.34 mg VSS/mg COD、133.36 mg/L COD、0.03d-和0.93 3d-。基于ASM模型的默认系数和条件,实验结果与模型预测的差异约为2% ~ 98%。ASM模型校正后,各参数的实验值与预测值的差值均降至10%以下。结论:调查表明,ASM1模型的默认系数和运行条件对复杂工业废水没有很好的可预测性,输出结果与实验结果相比精度较低。在标定了动力学系数和操作条件后,模型性能良好,预测结果与实验结果吻合较好。
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Investigation, biokinetic calculation, and modelling of a real combined industrial wastewater biological treatment process by activated sludge models
Background: Treatment of combined industrial wastewater from industrial parks is one of the most complex and difficult wastewater treatment processes. Also, the accuracy of biological models for the prediction of the performance of these processes has not been sufficiently evaluated. Therefore, in this study, the International Association on Water Quality (IAWQ(-Activated Sludge Model No. 1 (ASM1) was implemented for the Jey industrial park in Isfahan province, Iran. Methods: The Jey IPWWTP process is a combination of anaerobic and aerobic biological processes. To evaluate the overall performance of IPWWTP, organic compounds, suspended solids, nutrients, attached biomass, and some operating parameters were measured during 6 months. Then, the biokinetic coefficients of aerobic processes were determined using Monod equations. Finally, the aerobic processes were modeled using ASM1 implemented in STOAT software. Results: The values of the biokinetic coefficients K, Y, Ks, Kd, and µmax were calculated as 2.7d- , 0.34 mg VSS/mg COD, 133.36 mg/L COD, 0.03d- , and 0.93d- , respectively. Based on the default coefficients and conditions of the ASM model, the difference between the experiments and model prediction was about 2 to 98%. After calibrating the ASM model, the difference between the experiments and prediction in all parameters was reduced to less than 10%. Conclusion: Investigations showed that the default coefficients and operation conditions of the ASM1 model do not have good predictability for complex industrial wastewaters and the outputs show a low accuracy compared to the experiments. After calibrating the kinetic coefficients and operating conditions, the model performance is acceptable and the predictions show a good agreement with the experiments.
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来源期刊
CiteScore
2.40
自引率
37.50%
发文量
17
审稿时长
12 weeks
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