Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

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.     

Distribution of actinomycetes in oil contaminated ultisols of the Niger Delta (Nigeria)

The distribution of actinomycetes in oil contaminated sandy loam ultisols of the Niger Delta region of Nigeria was studied to aid in understanding the effect of hydrocarbons on indigenous microbial population in tropical soils. The average total counts of actinomycetes in all the oil samples analysed was 103 cfu/g. Higher counts of actinomycetes were observed during the dry season than during the wet season. The counts of hydrocarbonoclastic actinomycetes correlated positively with the total count of actinomycetes.The actinomycetes were generally restricted to the top soil(0-10 cm soil depth) although a seemingly deeper(down to 40 cm soil depth) distribution was noticed in the dry season. The isolates included oil degrading species of Actinoplanes, Norcadia,Streptomyces and Streptosporangium. Their high oil utilization ability indicates their positive potential and role in the bioremediation of oil-spilled soils.     

高级氧化技术机理及在水处理中的应用进展

综述了近年来发展迅速的高级氧化技术，主要包括Fenton法、臭氧氧化法、湿式氧化技术、超临界水氧化法、纳米光催化氧化法电化学催化降解法及超声降解法等。介绍了各种高级氧化技术的基本原理及在废水处理中的应用进展，并对其特点进行了评述。     

石灰石-石灰乳二段中和法处理矿山酸性废水

分析了处理含重金属离子矿山酸性废水的处理工艺。通过实例说明石灰石-石灰乳二段中和法与传统的石灰乳中和工艺相比，有较大的优越性，可以降低处理成本和减少沉渣的产生量。     

制革废水治理方法的研究

对制革废水进行了实验研究，提出了制革废水的处理方法．即首先对铬鞣废水进行单独处理，回收鞣革液，再采用聚合硅酸系混凝剂和聚丙烯酰胺（ＰＡＭ）来处理混合废水的新方法．     

单级与两级序批式反应器用于牛场污水处理的比较研究

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     

可发性聚苯乙烯废水处理工程的设计与运行

介绍了采用中和混凝 水解酸化 生物接触氧化 化学除磷工艺对可发性聚苯乙烯 (EPS)废水的处理工艺。在废水中的CODCr、TP、SS、NH3 N分别为 194 0mg L、112mg L、5 92mg L、2 3 6mg L的条件下 ,废水经过处理后 ,出水CODCr、TP、SS、NH3 N分别为 70mg L、0 38mg L、2 6mg L、0 32mg L ,均可达到《污水综合排放标准》中的一级标准 ,废水中CODCr、TP、SS、NH3 N的平均去除率分别为 96 4 %、99 3%、95 6 %、98 6 %。     

混凝沉淀-酸化水解-接触氧化工艺处理聚苯乙烯生产废水

采用混凝沉淀酸化水解生物接触氧化工艺处理聚苯乙烯生产废水,通过治理工程实际运行,结果表明:当废水CODCr平均浓度为1160mg/L时,CODCr去除率为882%,出水水质稳定,能达到设计要求。     

水解酸化＋两级生物接触氧化处理高盐度水产品加工废水

介绍了“水解酸化＋两级生物接触氧化”处理水产品加工废水的运行效果和工程实例，结果表明：对C1^-浓度平均6000mg／L的高盐度水产品加工废水，系统对COD、SS、氨氮的去除率分别超过了88％、90％、85％，出水COD、SS、氨氮分别低于100mg／L、70mg／L、15mg／L，出水完全可以达到《污水综合排放标准》（GB8978—1996）一级排放标准。     

物化法处理炼油废水

阐述了加热隔油与两级气浮相串联的物化法处理高粘度炼油废水的试验原理、过程及注意事项。结果表明：该试验流程处理效率高、四季运行稳定、出水能够达标排放。同时可回收浮油和泡沫油，具有显著的经济效益。