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.     

Characterization of microbial communities from coastal waters using microarrays

Molecular methods, including DNA probes, were used to identify and enumerate pathogenic Vibrio species in the Chesapeake Bay; our data indicated that Vibrio vulnificus exhibits seasonal fluctuations in number. Our work included a characterization of total microbial communities from the Bay; development of microarrays that identify and quantify the diversity of those communities; and observation of temporal changes in those communities. To identify members of the microbial community, we amplified the 16S rDNA gene from community DNA isolated from a biofilm sample collected from the Chesapeake Bay in February, 2000. The resultant 75 sequences were 95% or more similar to 7 species including two recently described Shewanella species, baltica and frigidimarina, that have not been previously isolated from the Chesapeake. When the genera of bacteria from biofilm after culturing are compared to those detected by subcloning amplified 16S fragments from community DNA, the cultured sample exhibited a strong bias. In oysters collected in February, the most common bacteria were previously unknown. Based on our 16S findings, we are developing microarrays to detect these and other microbial species in these estuarine communities. The microarrays will detect each species using four distinct loci, with the multiple loci serving as an internal control. The accuracy of the microarray will be measured using sentinel species such as Aeromonas species, Escherichia coli, and Vibrio vulnificus. Using microarrays, it should be possible to determine the annual fluctuations of bacterial species (culturable and non-culturable, pathogenic and non-pathogenic). The data may be applied to understanding patterns of environmental change; assessing the health of the Bay; and evaluating the risk of human illness associated with exposure to and ingestion of water and shellfish.     

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     

污水处理的新技术与新发展

介绍我国对水污染控制认识的发展和深化，阐述了污水生物处理方面的研究和新进展，包括在微生物方面的研究和新反应器、新工艺的发展。同时，讨论了新型、高效化学混凝剂和絮凝剂的开发成功，使化学法用于城市污水的处理成为可能。并提出任何一种新的处理工艺和反应器都各有其优缺点和适用条件，不能认为某一种就是最好，最先进的，可以无条件适用各种情况的。     

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。     

大气环境质量综合评价加权灰色关联模型的建立与应用

利用灰色理论建立大气环境质量综合评价加权灰色关联模型 ,运用污染贡献率确定权重系数。与其它评价模型相比 ,加权灰色关联模型还具有排序功能 ,实例表明该模型是简便有效的     

UASB反应器快速启动的试验研究

在中温条件下投加颗粒活性炭可加快ＵＡＳＢ反应器颗粒化进程。通过对比试验,表明投加和不投加活性炭的反应吕处理石化石废水污泥颗粒化时间分别为３９ｄ和６２ｄ。投加活性炭反应器的颗粒污泥粒径也较大。最大ＣＯＤ去除率在８６％以上。并且投加活性炭反应器的有机负荷为不投加的２倍,运行效果更稳定。     

尿素合成塔内衬腐蚀规律研究

本文归纳总结了水溶液全循环工艺尿素合成塔内衬腐蚀规律。研究表明使用超过13年的尿素合成塔内衬均匀腐蚀规律开始分化,个别塔内衬腐蚀加剧明显;而且尿素合成塔中偏上部筒节一般为剩余壁厚最薄的筒节,可通过适当调节该筒节塔盘间距或塔板筛孔数,减少该处局部反应时间,改善温度分布,延长整塔使用寿命。另外,多塔并联使用时,应注意管道分压导致各塔氧含量不均引发的不均匀腐蚀。     

生物滴滤池法处理废气动力学模式研究

基于物料平衡和微生物降解废水中污染物的动力学模式,以丙酮、甲苯为处理对象提出了生物滴滤池处理废气的模式。当入口浓度C_(in)较低,小于临界浓度C_(crit),时,C=C_(in)EXP((-B/V_g)·H);当人口浓度C_(in)较高,大于临界浓度C_(crit)时,C=C_(in)-(K_0X/V_g)·H。研究表明,实验结果与模式计算结果吻合较好。