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1.
A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH4+-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m3/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH4+-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH4+-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH4+-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R2) and lower root mean squared errors (RMSE) values. 相似文献
2.
IntroductionTeraphthalicacid (TA)isoneofthepetrochemicalswidelyusedinthesynthesisofpolyesterfiber,videofilmsandotherapplications .Sincebis (2 ethylhexyl)phthalate ,diethylphthalateanddimethylphthalatehavebeenclassifiedaspriorityhazardouscompoundsbyEPAofthe… 相似文献
3.
单级与两级序批式反应器用于牛场污水处理的比较研究 总被引:1,自引:0,他引:1
对序批式反应器 (SBR)的特点进行了简要的介绍。研究了水力停留时间和有机负荷率对单级和两级SBR用于牛场污水处理时污染物去除率和出水水质的影响 ,并对单级和两级SBR的污水处理性能进行了比较。研究结果表明 ,当用单级SBR处理 10 0 0 0mg LCODCr的污水时 ,1d水力停留时间即可获得较好的处理效果 ,但出水中仍含有一定量的氨。两级SBR可使用较短的水力停留时间而获得较高的污染物去除率和较好的出水水质 ,并可通过硝化过程实现氨的完全的去除 相似文献
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在结构简单、占地面积小、氧利用率高的多级环流曝气小型实验装置上,对某种石油化工排放污水进行了生化处理性能实验。分别利用间歇和连续两种装置进行污水的处理,均得到了良好的试验结果。间歇实验探索了污水降解与系统中溶解氧的变化情况的对比,摸索出了两者之间的初步关系。连续实验表明,污水的停留时间在3-5h时,出水COD可以降到80mg/L以下。 相似文献
5.
The degradation of fulvic acid(FA) by nanoparticle TiO2 in a submerged membrane photocatalysis(SMPC) reactor was studied. In this reactor, photocatalytic oxidation and membrane separation co-occured. The continuous air supplier provided O2 for the photocatalytical reaction and mixed the solution through an airflow controller. The particle TiO2 could automatically settle due to gravity without particle agglomeration so it could be easily separated by microfiltration(MF) membrane. It was efficient to maintain high flux of membranes. The effects of operational parameters on the photocatalytic oxidation rate of FA were investigated. Results indicated that photocatalyst at 0.5 g/L and airflow at 0.06 m^3/h were the optimum condition for the removal of fulvic acid, the removal efficiency was higher in acid media than that in alkaline media. The effects of different filtration duration on permeate flux rate of MF with P25 powder and with nanoparticle TiO2 were compared. Experimental results indicated that the permeate flux rate of MF was improved and the membrane fouling phenomenon was reduced with the addition of nanoparticle TiO2 catalyst compared with conventional P25 powder. Therefore, this submerged membrane photocatalysis reactor can faciliate potential application of photocatalytic oxidation process in drinking water treatment. 相似文献
6.
超深厌氧塘的技术特性 总被引:8,自引:0,他引:8
超深厌氧塘是一种稳定塘新工艺。与常规厌氧塘相比,具有BOD5容积负荷大、占地面积小,受温度影响小的优点。探讨了它的工作机理,本研究确定了负荷、水深和去除率之间的定量关系以供实际应用。 相似文献
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In this study, the two-stage upflow anaerobic sludge blanket (UASB) system and batch experiments were employed to evaluate
the performance of anaerobic digestion for the treatment of high concentration methanol wastewater. The acid resistance of
granular sludge and methanogenic bacteria and their metabolizing activity were investigated. The results show that the pH
of the first UASB changed from 4.9 to 5.8 and 5.5 to 6.2 for the second reactor. Apparently, these were not the advisable
pH levels that common methanogenic bacteria could accept. The methanogenic bacteria of the system, viz. Methanosarcina barkeri,
had some acid resistance and could still degrade methanol at pH 5.0. If the methanogenic bacteria were trained further, their
acid resistance would be improved somewhat. Granular sludge of the system could protect the methanogenic bacteria within its
body against the impact of the acidic environment and make them degrade methanol at pH 4.5. The performance of granular sludge
was attributed to its structure, bacteria species, and the distribution of bacterium inside the granule.
Translated from Acta Scientiae Circumstantiae, 2004, 24(4): 633–636 [译自: 环境科学学报] 相似文献
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