城市污泥-磷石膏陶粒的制备条件及性能分析

以城市污水处理厂剩余污泥和磷酸生产废渣磷石膏为原料制备多孔陶粒,考察不同配比、烧结温度及烧结时间对多孔陶粒堆积密度、吸水率及盐酸可溶率的影响。结果表明:在污泥与磷石膏混合比1∶4、烧结温度1 050℃、烧结时间15 min的条件下,可制得堆积密度为685.78 kg/m~3、吸水率27.34%、盐酸可溶率11.38%的陶粒,该陶粒内部含有丰富的膨胀气孔,可用作水处理滤料或建材骨料。     

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.     

城市污泥中重金属有效态分布特征研究

以沈阳市北部污水处理厂剩余活性污泥为研究对象,对污泥中重金属Cd,Pb,Cu,Zn的含量及其形态分布特性进行分析。结果表明:污泥中4种重金属的含量基本符合国家相关控制标准(GB 18918-2002和CJ248-2007)。采用8种提取剂(0.05 mol/L EDTA,0.01 mol/L CaCl2,0.01 mol/LCa2(NO3)2,0.1 mol/L NaNO3,1 mol/L NH4OAC,0.43 mol/LHAC,0.05mol/L NaHCO3和0.05 mol/L Tris-HCl)分别对污泥中重金属的螯合态,中性交换态,酸溶态,碱溶态和蛋白质结合态进行分离分析。结果表明:4种重金属螯合态存在的比例较大,分别占各重金属总量的5.9%~27.2%,其次为酸溶态和中性交换态,而以碱溶态和蛋白质结合态形式存在的比例较少,除Cd外均低于1%。污泥中Cd和Pb具有较高的活性,而Cu,Zn在碱性污泥中主要以稳定态存在。     

新型城市污水脱氮除磷工艺的试验研究与优化设计

提出了一种改进型A2/O脱氮除磷工艺(MAAO),通过工艺试验和活性污泥2D模型对其进行运行和设计优化.结果表明,系统对COD、TN、NH 4-N和TP的平均去除率分别为85.7%、66.8%、97.35%和78.1%;当COD在300mg/L以上时,脱氮除磷效果均较好,可分别达到70%和90%以上.基于试验结果建立的MMAO工艺数学模型仿真效果良好,可对各单元组合进行优化,校核预测不利工况下的工艺运行效果,实现工艺不同工况下的运行参数优化,较好地实现新工艺的机理性优化设计和运行. MMAO稳定运行出水可达到<城镇污水处理厂污染物排放标准>(GB 18918-2002)一级B标准.由于工艺省去内回流,增加厌氧混合液部分超越提供反硝化碳源,使得运行费用明显降低;系统总停留时间比目前传统的以去除有机污染物为主的生物处理工艺略低,该工艺非常适用于对不具有脱氮除磷功能污水厂的改造.     

厌氧-好氧生物反应器填埋工艺特性研究

基于生物反应器填埋技术,研究1种填埋场地循环操作的厌氧-好氧生物反应器填埋工艺,设计了该工艺模拟装置并研究了其运行工艺特性.厌氧阶段主要通过渗滤液回灌控制反应器工艺条件,主要试验结果为,pH值,R1在 6周后可上升至6.7～7.8,R2在17周内一直低于6.8;渗滤液COD浓度,R1在13周时下降至10?617 mg/L,R2在5周后上升至60?000 mg/L后长期趋于稳定;填埋气累计产量,R1在8周达到44%,R2几乎不产气.衡量稳定化可以分别采用渗滤液pH、COD浓度及BOD₅/COD的减少率、填埋气的累计产率等指标来判断,并据此转换为好氧填埋运行.好氧阶段主要是通过强制通风来减少恶臭和水分,主要试验结果为,通风19d氨气浓度降为1.16 mg/m³,通风23d后恶臭浓度降为19;通风14d后含水率降为26%.完成此阶段的工艺指标值可依据矿化垃圾开采的最终用途确定.对主要试验数据进行了数值模拟.厌氧-好氧填埋过程的微生物演替经RISA分析,有4个优势菌群,一些兼性菌群在厌氧-好氧阶段起着重要的承前启后作用.     

城市污水脱氮除磷中的化学问题

简述了污水中氮磷的来源、存在形式及危害,城市污水生物脱氮除磷基本原理。围绕生物脱氮除磷的化学原理,针对生物脱氮除磷工艺对pH值要求、污泥龄控制、碳源投加及脱氮新工艺进行了探讨。     

城市污泥两相厌氧消化沼气产量的技术分析

城市污水处理厂所产生的污泥,数量巨大,成分复杂。如何经济、有效地加以利用已成为目前环境工程中深为关注的课题之一。文章探讨了污泥资源化工作中厌氧消化工艺的温度、时间、污泥成分的最佳工艺备件和沼气产生量,以实现污泥工业化利用。     

国外生活垃圾厌氧发酵技术的工程应用

厌氧发酵技术能较好地实现城市生活垃圾的资源化、无害化和减量化,是目前垃圾处理技术一个新的重要发展方向,而国内尚无运行的厌氧发酵处理厂。针对国外厌氧发酵技术的应用情况和发展趋势,侧重于从工程应用方面总结已建厌氧发酵处理厂的发酵技术,为我国厌氧发酵处理厂的建设和运行提供一定的技术支持。     

Full-scale blending treatment of fresh MSWI leachate with municipal wastewater in a wastewater treatment plant

Fresh leachate, generated in municipal solid waste incineration (MSWI) plants, contains various pollutants with extremely high strength organics, which usually requires expensive and complex treatment processes. This study investigated the feasibility of blending treatment of MSWI leachate with municipal wastewater. Fresh MSWI leachate was pretreated by coagulation–flocculation with FeCl₃ 2 g/L and CaO 25 g/L, plate-and-frame filter press, followed by ammonia stripping at pH above 12. After that, blending treatment was carried out in a full-scale municipal wastewater treatment plant (WWTP) for approximately 3 months. Different operational modes consisting of different pretreated leachate and methanol addition levels were tested, and their performances were evaluated. Results showed that throughout the experimental period, monitored parameters in the WWTP effluent, including COD (<60 mg/L), BOD₅ (<20 mg/L), ammonium (<8 mg/L), phosphorus (<1.5 mg/L) and heavy metals, generally complied with the Chinese sewage discharged standard. Under the experimental conditions, a certain amount of methanol was needed to fulfill TN removal. An estimation of the operation cost revealed that the expenditure of blending treatment was much lower than the total costs of respective treatment of MSWI leachate and municipal wastewater. The outcomes indicated that blending treatment could not only improve the treatability of the MSWI leachate, but also reduce the treatment cost of the two different wastewaters.     

Combined Municipal Solid Waste and biomass system optimization for district energy applications

Municipal Solid Waste (MSW) disposal has been a controversial issue in many countries over the past years, due to disagreement among the various stakeholders on the waste management policies and technologies to be adopted. One of the ways of treating/disposing MSW is energy recovery, as waste is considered to contain a considerable amount of bio-waste and therefore can lead to renewable energy production. The overall efficiency can be very high in the cases of co-generation or tri-generation. In this paper a model is presented, aiming to support decision makers in issues relating to Municipal Solid Waste energy recovery. The idea of using more fuel sources, including MSW and agricultural residue biomass that may exist in a rural area, is explored. The model aims at optimizing the system specifications, such as the capacity of the base-load Waste-to-Energy facility, the capacity of the peak-load biomass boiler and the location of the facility. Furthermore, it defines the quantity of each potential fuel source that should be used annually, in order to maximize the financial yield of the investment. The results of an energy tri-generation case study application at a rural area of Greece, using mixed MSW and biomass, indicate positive financial yield of investment. In addition, a sensitivity analysis is performed on the effect of the most important parameters of the model on the optimum solution, pinpointing the parameters of interest rate, investment cost and heating oil price, as those requiring the attention of the decision makers. Finally, the sensitivity analysis is enhanced by a stochastic analysis to determine the effect of the volatility of parameters on the robustness of the model and the solution obtained.