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.     

Effect of Cross-Linking Waste Protein with Dialdehydes on Its Biodegradation Under Anaerobic Conditions

Most native polymers used in processing and application technologies are admittedly disposable from the environment in a biologic manner, but products possess low mechanical strength. One of the paths to increasing this attribute (if feasible) is their cross-linking, which may, however, affect their readiness to biodegradation. In the presented work this condition was observed on the example of waste protein (Hykol B) cross-linking by means of glutardialdehyde and glyoxal. Degree and course of cross-linking were determined through impedance spectroscopy. The objective of this work also was to obtain data for constructing a sensor capable of following the cross-linking course in real time, for potential industrial application of Hykol in continuous production. Impedance spectroscopy proved to be applicable even to this kind of material marked by considerable water content and exhibiting relatively high electric conductivity; so far it had been used only for materials of low conductivity. An aqueous environment inoculated with digested anaerobic sludge from a municipal wastewater treatment plant was selected for modeling anaerobic conditions. The relation was studied between cross-linking degree given by content of cross-linking agent (determined by impedance spectroscopy) and biodegradation degree under anaerobic conditions. It was confirmed that network density as given by quantity of added agent not only reduced breakdown degree but also slowed the course of the process. This fact is particularly obvious with cross-linking by means of glyoxal; network density is thus dependent on type of employed substance, which affect type and structure of created network. That not merely forms an obstacle during polymer swelling and dissolution but also prevents access of bacteria to source of metabolized organic carbon.     

短程硝化—厌氧氨氧化组合工艺在脱氮领域的研究进展

基于全程硝化反硝化的传统生物脱氮工艺在硝化过程中需要大量氧气供应,反硝化过程需要有机物作为碳源,存在能耗与药耗过大的问题.为了降低废水脱氮的成本,短程硝化(PN)—厌氧氨氧化(ANAMMOX)组合工艺(PNA工艺)得到了高速发展.综述了PNA工艺的影响因素,重点介绍了4种基于PN与ANAMMOX原理开发的衍生PNA工艺...     

强制性内循环快速启动IC厌氧反应器过程的研究

如何在短时间内快速启动厌氧反应器是厌氧处理工程中的关键。本文对IC厌氧反应器分别进行强制性内循环启动和常规启动实验。结果表明 ,强制性内循环启动的反应器充分利用了内循环缓冲 pH和抗冲击负荷的能力 ,创造良好的微生物生长环境 ,最终只用了 5 4天就完成整个启动 ,比常规方式启动缩短近一个月 ,是一种值得借鉴的启动方式     

基于厌氧污泥接种的预处理工艺对分户厕所废水亚硝化反应启动的影响

采用分户处理的方式对厕所废水进行单独处理是迅速改善乡村地区生活卫生条件的捷径。部分亚硝化-厌氧氨氧化方法的出现为分户厕所废水的处理提供了更为可持续的工艺选项。亚硝化反应是厌氧氨氧化反应的先决性步骤。以分户厕所废水为处理对象,在不接种亚硝化污泥的前提下,考察了在厕所废水预处理单元接种厌氧污泥对亚硝化反应启动的影响。结果表明,厌氧污泥的接种可将亚硝化反应的启动周期缩短至正常周期的50%,其作用机理位削弱了异养细菌对氨氧化细菌的竞争性抑制。以上研究结果可为分户厕所废水部分亚硝化反应的快速启动提供参考。     

管式电化学反应器中试处理高浓度含氰废水与经济分析

基于对高浓度含氰废水处理的重大需求和现有破氰技术的共性缺点,采用管式电化学反应器工艺对西部某化工厂生产过程的高浓度含氰废水进行预处理的中试研究,并与次钠氯碱法和ClO₂氧化法进行了对比。以Ti/RuO₂为阳极的管式电化学反应器相比于其他工艺有最佳的处理效果,在20 mA·cm⁻²处理4 h后,对废水中TCN、COD和间苯二腈的去除率分别可以达到81.74%、57.71%和81.33%,长期运行效果也处于最佳。此外,尽管管式电化学反应器的建设成本较高,单位能耗高,但由于该工艺无需加药,其运行成本低廉,仅为次钠氯碱法的13.10%,故总体运行成本较低。同时,还对管式电化学反应器的运行过程进行了参数优化及机理探究。在综合考虑建设、运行和折旧,管式电化学反应器具有良好的应用前景。     

外循环厌氧处理工艺中布水和三相分离的改进研究

污水处理中的布水设备和三相分离设备存在很多缺点,通过旋流配水装置和传统配水装置、小间距斜板三相分离装置和传统三相分离装置的比较试验,研究了旋流配水装置和小间距斜板三相分离装置的性能.研究结果表明:在相同膨胀率的条件下,旋流配水装置所需的回流量小,能耗相对较少;在水力上升流速为8 m/h时,采用旋流配水装置进水时,污泥分布曲线较平缓,污泥在高度上分布较均匀,而采用传统配水装置进水时,污泥主要分布在反应器底部,污泥浓度分布不均匀;在上升流速相同的情况下,采用小间距三相分离装置的反应器出水携带的颗粒污泥浓度较小;在相同的进水COD浓度时,小间距三相分离装置分离的沼气量较多.改进的布水和三相分离装置的性能明显优于传统的布水和三相分离装置.     

两相厌氧工艺的研究进展

为了了解两相厌氧工艺的研究状况,对两相厌氧反应器及相分离方法进行了综述,并指出了今后两相厌氧工艺的研究方向.     

含锌废水处理技术的研究进展

综述了传统的物理化学法和生物法处理含锌废水的原理,系统阐述了其研究进展.微生物固定技术是一种新兴而有效的生物处理技术,尤其是硫酸盐还原菌固定化技术,将厌氧活性污泥包埋,构建稳定高效的微生物体系,以加强其抗毒性和处理效率.因此,在含锌废水处理方面具有很大的发展潜力,有望得到广泛应用.