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.     

The influence of sewage sludge properties on sludge-borne metal availability

With the advent of more stringent controls on wastewater treatment, sewage sludge production in Europe and many parts of the world is increasing. With this increase comes the problem of sludge disposal, and recycling to land arguably offers an economically and environmentally sustainable option. However, a major limitation of sewage sludge reuse is the potential release of heavy metals from the sludge and heavy metal accumulation to toxic levels in topsoils. The properties of the sludge play a crucial role in determining the initial release and subsequent availability of heavy metals in amended soils. Bioavailable forms of heavy metals in recently amended soils are most likely to be those that are bioavailable in the sewage sludge. In this paper, published research on the importance of sewage sludge characteristics on metal release and bioavailability will be reviewed and contrasted with original research. A selection of sludges from around Australia has been collected for this purpose. Through the use of incubation studies, isotope dilution techniques, ion-selective electrode measurements and ¹³C-NMR spectroscopy, the importance of a range of sludge properties on heavy metal behaviour in sludges and sludge-amended soils is addressed.     

厌氧升流式污泥层反应器内污泥颗粒化对固液分离效果的影响

厌氧升流式污泥层反应器在较高的COD容积负荷和水力负荷下稳定运行的关键是要有良好的固液分离,而固液分离的必要条件是污泥的沉降速度大于混合液在三相分离器的沉降区的最小断面上的向上流速。通过小型装置的试验表明,污泥的沉降速度与污泥的性状和浓度有关,使反应器内的污泥颗粒化能改善污泥沉降性、提高固液分离效果,使反应器能在相当高的COD容积负荷(20—30kgCOD/m~3·d)和水力负荷(0.8m~3/m~2·h)下稳定运行。本文叙述了厌氧升流式污泥层反应器内的污泥颗粒化过程,并简要地讨论了培养颗粒污泥的基本条件。     

铁岭市污水处理厂效益分析

调查城市生活和工业污染现状，进一步分析污水处理工程的环境效益，社会效益，经济效益，阐述铁岭市污水处理厂建设的重要性和必要性。     

活性污泥生长的控制

在污水处理过程中，针对不同的运行环境，我们选择适当的运行工艺和参数。通过控制菌胶团细菌和丝状菌平衡生长，或者是使固着型原生动物占优势，来获得良好的活性污泥，保证出水达标排放。     

灰色关联分析在城市污水处理厂规划改造决策中的应用

应用灰色系统理论中的灰色关联度定义 ,建立了城市污水处理厂改造的灰色决策模型 ,并对 1 1座污水处理厂进行了改造决策的综合评价 ,结果表明 ,其评价结果符合实际。     

SNP悬浮型填料处理生活污水

介绍了王台铺矿采用SNP悬浮型填料和先进的水下曝气技术对生活污水进行二级处理,与常规的半软性填料和鼓风曝气方法比较,投资少,成本低,管理方便,曝气均匀,水处理效果好。     

转炉污泥干法脱硫新技术应用

采用转炉污泥取代铸铁屑配制焦炉煤气脱硫剂,转炉污泥与稻壳体积配比为1∶2,水分30%～40%,pH值8～10。经过生产实践证明,脱硫效率达到996%～998%。既降低了煤气生产成本,减轻工人劳动强度,又提高了民用煤气质量,具有可观的环境效益与经济效益。     

二沉池漂泥原因及控制措施

二级污水处理厂二沉池漂泥有反硝化漂泥、活性污泥老化漂泥、生物泡沫导致的漂泥。最终的解决办法是：分析漂泥原因、对症下药、改善工艺运行状况、采取有效的控制措施.     

Possible Utilization of Silica Gel Sludge for the Removal of Phenol from Aqueous Solutions: Laboratory Studies

This paper discusses the adsorption capacity of silica gel sludge for phenol removal from aqueous solution. Kinetic experiments showed that phenol adsorption was completed after 2 h. Adsorption isotherms were measured for phenol from aqueous solution onto silica gel sludge under various pHs and temperatures. Results showed that the adsorption capacities for phenol was increased as pH decreased from 6.5 to 2. Temperature also was found to affect the adsorption isotherm. As temperature increases from 30 to 50°C, the adsorption capacity increases. The adsorption equilibrium of phenol on silica gel sludge was described by the linear Freundlich and Langmuir models. Furthermore, results showed that the isotherm parameters fit both linearized Langmuir and Freundlich adsorption isotherms. The Freundlich and Langmuir parameters at optimum pH was found as K _f=2.89, 1/n=0.23 and K _d=22.0, q _m=7.98, respectively. Whereas, for those at optimum temperature it was observed as K _f=2.87, 1/n=0.16 and K _d=20.93, q _m=7.91, respectively.