鼠李糖脂强化生物滴滤塔去除乙苯废气效能及菌群结构研究

对添加表面活性剂鼠李糖脂后生物滴滤塔(BTF)去除乙苯废气的效能及滴滤塔中微生物16S r DNA高通量测序结果进行分析,探讨了鼠李糖脂对生物滴滤塔处理有机废气效能的影响机理.结果发现:鼠李糖脂在浓度为21.6 mg·L~(-1)时对微生物生长的促进作用尤为明显,BTF2(添加鼠李糖脂)和BTF1(对照)在挂膜启动期间生物量都呈现出逐渐增加的趋势,添加鼠李糖脂的BTF2在第35 d时生物量比BTF1增加了39.62 mg·g-1.BTF2的挂膜启动时间比BTF1缩短了5 d,并且系统挂膜稳定后对乙苯废气的去除率提高了12%.BTF1和BTF2的微生物群落组成基本相同,主要优势菌群是变形杆菌门.在BTF1系统中,变形杆菌门占62.3%;在BTF2系统中,变形杆菌门占81.9%.在属水平上,BTF1下层系统的主要优势菌属占45.7%,在BTF2下层系统主要优势菌属占73.4%.研究表明,在BTF系统中添加鼠李糖脂可以促进优势菌的富集生长,缩短系统启动挂膜时间,强化BTF系统对乙苯的降解,并提高BTF的去除效率和稳定性.     

上流双层填料单级自养脱氮反应器启动与运行

通过接种亚硝化与厌氧氨氧化污泥,以无机高氨氮（110~130mg/L）废水为对象,研究上流式双层填料反应器的启动与运行.反应器上层与下层分别以沸石和聚氨酯海绵作为填料,启动两种填料高度比分别为2：3和3：2的1号和2号反应器,历时139d成功建立自养脱氮系统.结果表明,1号反应器最高总氮去除率达84.4%,2号最高总氮去除率达81.8%,总氮去除负荷分别达0.15,0.14kgN/（m³·d）.进水未添加有机碳源时,2号△NO₃^--N/△NH₄⁺-N一直稳定在特征值0.11附近,自养脱氮系统更为稳定.在添加有机碳源情况下,2个反应器总氮去除率都得到提升,△NO₃^--N/△NH₄⁺-N也更为稳定.说明一定浓度的有机物能强化系统稳定运行,提高系统脱氮性能.反冲洗稳定后,1号反应器出水NO₃^--N由未反冲洗前的17.61mg/L降低到10mg/L以下,说明适当的反冲洗可以有效恢复反应器运行,反冲洗与NOB抑制手段相结合能更好地维持反应器的长期稳定运行.     

Transient modeling of trickling filters for biological ammonia removal

A dynamic model for nitrifying trickling filters is developed, based on material balances in the biofilm and the bulk liquid. The model predicts the profile of ammonia as a function of the operating parameters (volumetric flow rate and feed ammonia concentration) and the biofilm thickness as a function of filter depth and time. This revised version was published online in July 2006 with corrections to the Cover Date.     

两种粉尘收集系统在环境治理中的应用和对比

针对粉尘治理工程设计中经常混淆的设计理念,介绍了两种粉尘收集系统在环境治理中的各自应用特点,通过对两个工程实例的系统分析和经验总结,得出以下结论:脉冲袋式除尘系统和真空负压吸尘系统是两种不同的粉尘收集系统,脉冲袋式除尘系统是以控制粉尘逸散为原则,在尘源点密闭的基础上形成一定的负压,须合理确定系统的设计风量和吸尘罩的设置;真空负压吸尘系统则是以尽可能多收集粉尘减少人工清扫强度为原则,须优化设计吸尘管网,保证最远处吸尘点能有效吸力。     

强化除磷曝气生物滤池反冲洗优化及其污泥特性

为探讨BAF(曝气生物滤池)最佳反冲洗强度及其选择依据,以某处理石化二级出水的强化除磷BAF为研究对象,采取不同的反冲洗强度进行气-水联合反冲洗,探讨反冲洗过程中出水污泥量峰值出现时间、污泥的SOUR(比好氧呼吸速率)变化、反冲洗前后微生物量和微生物脱氢酶活性(DHA)的变化以及反冲洗后的恢复效果,并对反冲洗强度参数的选择进行了优化. 结果表明:在该研究条件下,采用气洗〔强度为12 L/(m2·s)〕4 min,气-水联合洗〔气洗强度为12 L/(m2·s),水洗强度为6 L/(m2·s)〕5 min,最后用清水漂洗9 min的反冲洗方式,排水中污泥的ρ(SS)可在最短时间(3 min)达到峰值;反冲洗排水中污泥的SOUR较低,平均值为0.5 mg/(mg·h);距离底端进水口1.3和2.2 m处的滤料层微生物的量损失较小,分别为4.4%和5.3%,其相应微生物的活性有所增加. 研究显示,该条件下反冲洗可有效清除滤料颗粒间所截留及滤料表面脱落的老化生物膜,并可保留适量活性较高的生物膜,强化了传质条件,反冲洗后对污染物的处理能力能恢复迅速.      

Life cycle assessment of spray dried soluble coffee and comparison with alternatives (drip filter and capsule espresso)

This paper aims to evaluate the environmental burdens associated with spray dried soluble coffee over its entire life cycle and compare it with drip filter coffee and capsule espresso coffee. It particularly aims to identify critical environmental issues and responsibilities along the whole life cycle chain of spray dried coffee. This life cycle assessment (LCA) specifically uses foreground data obtained directly from coffee manufacturers and suppliers. Aside from energy consumption and greenhouse gases emissions, water footprint is also studied in detail, including regionalization of water impacts based on the ecological scarcity method 2006. Other impact categories are screened using the IMPACT 2002+ impact assessment method.The overall LCA results for a 1 dl cup of spray dried soluble coffee amounts approximately to 1 MJ of primary non-renewable energy consumption, to emissions of 0.07 kg of CO_2-eq, and between 3 and 10 l of non-turbined water use, depending on whether or not the coffee cultivation is irrigated and wet treated. When considering turbined water, use can be up to 400 l of water per cup. Pouch – and to a lesser extent metal can packaging alternatives – show lower environmental burdens than glass or sticks.On average, about one half of the environmental footprint occurs at a life cycle stage under the control of the coffee producer or its suppliers (i.e., during cultivation, treatment, processing, packaging up to distribution, along with advertising) and the other half at a stage controlled by the user (shopping, appliances manufacturing, use and waste disposal). Key environmental parameters of spray dried soluble coffee are the amount of extra water boiled and the efficiency of cup cleaning during use phase, whether the coffee is irrigated or not, as well as the type and amount of fertilizer used in the coffee field. The packaging contributes to 10% of the overall life cycle impacts.Compared to other coffee alternatives, spray dried soluble coffee uses less energy and has a lower environmental footprint than capsule espresso coffee or drip filter coffee, the latter having the highest environmental impacts on a per cup basis. This study shows that a broad LCA approach is needed to help industry to minimize the environmental burdens directly related to their products. Including all processes of the entire system is necessary i) to get a comprehensive environmental footprint of the product system with respect to sustainable production and consumption, ii) to share stakeholders responsibility along the entire product life cycle, and iii) to avoid problem shifting between different life cycle stages.     

Data fusion modeling for groundwater systems

Engineering projects involving hydrogeology are faced with uncertainties because the earth is heterogeneous, and typical data sets are fragmented and disparate. In theory, predictions provided by computer simulations using calibrated models constrained by geological boundaries provide answers to support management decisions, and geostatistical methods quantify safety margins. In practice, current methods are limited by the data types and models that can be included, computational demands, or simplifying assumptions. Data Fusion Modeling (DFM) removes many of the limitations and is capable of providing data integration and model calibration with quantified uncertainty for a variety of hydrological, geological, and geophysical data types and models. The benefits of DFM for waste management, water supply, and geotechnical applications are savings in time and cost through the ability to produce visual models that fill in missing data and predictive numerical models to aid management optimization. DFM has the ability to update field-scale models in real time using PC or workstation systems and is ideally suited for parallel processing implementation. DFM is a spatial state estimation and system identification methodology that uses three sources of information: measured data, physical laws, and statistical models for uncertainty in spatial heterogeneities. What is new in DFM is the solution of the causality problem in the data assimilation Kalman filter methods to achieve computational practicality. The Kalman filter is generalized by introducing information filter methods due to Bierman coupled with a Markov random field representation for spatial variation. A Bayesian penalty function is implemented with Gauss–Newton methods. This leads to a computational problem similar to numerical simulation of the partial differential equations (PDEs) of groundwater. In fact, extensions of PDE solver ideas to break down computations over space form the computational heart of DFM. State estimates and uncertainties can be computed for heterogeneous hydraulic conductivity fields in multiple geological layers from the usually sparse hydraulic conductivity data and the often more plentiful head data. Further, a system identification theory has been derived based on statistical likelihood principles. A maximum likelihood theory is provided to estimate statistical parameters such as Markov model parameters that determine the geostatistical variogram. Field-scale application of DFM at the DOE Savannah River Site is presented and compared with manual calibration. DFM calibration runs converge in less than 1 h on a Pentium Pro PC for a 3D model with more than 15,000 nodes. Run time is approximately linear with the number of nodes. Furthermore, conditional simulation is used to quantify the statistical variability in model predictions such as contaminant breakthrough curves.     

Insights into a novel nitrogen removal process based on simultaneous anammox and denitrification(SAD) following nitritation with in-situ NOB elimination

Simultaneous anammox and denitrification(SAD) is an efficient approach to treat wastewater having a low C/N ratio; however, few studies have investigated a combination of SAD and partial nitritation(PN). In this study, a lab-scale up-flow blanket filter(UBF) and zeolite sequence batch reactor(ZSBR) were continuously operated to implement SAD and PN advantages, respectively. The UBF achieved a high total nitrogen(TN) removal efficiency of over 70% during the start-up stage(days 1–50), and reached...     

Prediction of Total Sediment Load in Sand‐Bed Rivers in Korea Using Lateral Distribution Method

A new method for numerically predicting the total sediment load in a river is proposed. The method can be used to predict the total sediment load with information on channel geometry and slope, flow, and bed materials. The conventional method uses a 1D approach that assumes the channel has a wide rectangular shape. However, the proposed method computes depth‐averaged velocity over the width and predicts the total sediment load based on the flow computations. The new method, therefore, is expected to predict better if the flow changes significantly in the lateral direction. The proposed method was applied to three large sand‐bed rivers in Korea, where information is available regarding suspended sediment. Five formulas were tested of use in making total sediment load computations, namely Engelund‐Hansen's, Ackers‐White's, Yang's, Brownlie's, and Karim's formulas. The predicted total sediment loads are compared not only with measured data but also with results calculated using the 1D approach. Discrepancy ratios between the predicted and measured total sediment loads are given and the results are discussed.     

利用新型组合填料的生物滴滤塔净化混合废气研究

建立了生物滴滤中试装置,并将前期研发的纹翼多面球和空心多面柱作为组合填料,以甲苯和乙醇混合气为废气,研究了组合填料生物滴滤塔的污染物去除性能.结果表明,装有组合填料的生物滴滤塔能在8 d内完成挂膜,稳定运行时对甲苯和乙醇的去除负荷分别为97.14 g·(m3·h)~(-1)和113.10 g·(m3·h)~(-1).空床停留时间(EBRT)和进气浓度对甲苯去除效果影响明显,当EBRT为21.11 s,甲苯和乙醇最大去除负荷分别为123.34 g·(m3·h)~(-1)和206.36 g·(m3·h)~(-1);受营养液喷淋量影响不明显,本系统最佳液气比为6.82 L·m~(-3).模拟了不稳定工况对系统处理效果的影响,用Na OH溶液减轻填料层堵塞效果明显,并可以3 d内恢复对甲苯和乙醇的去除效果;停运10 d后继续运行,净化性能可迅速恢复.