Nitrogen recovery in an integrated system for wastewater treatment and tilapia production

An integrated system, consisting of Up-flow Anaerobic Sludge Blanket (UASB)-duckweed-tilapia ponds was used for recovery of sewage nutrients and water recycling. A UASB reactor with 40 liter working volume was used as pre-treatment unit followed by a series of three duckweed ponds for nitrogen recovery. The treated effluent and duckweed biomass was used to feed fishponds stocked with Nile tilapia (Oreochromis niloticus). The UASB reactor was fed with raw, domestic sewage at 6 h hydraulic retention time. The three duckweed ponds were stocked with Lemna gibba and fed with UASB effluent at 15 days hydraulic retention time. Nitrogen recovery from UASB effluent via duckweed biomass represented 81% of total nitrogen removal and 46.5% from the total nitrogen input to the system. In subsequent fishponds the nitrogen recovery from duckweed as fish feed was in the range of 13.4–20%. This nitrogen in fish biomass represented 10.6–11.5 g N from the total nitrogen in the raw sewage fed to the UASB reactor. The growth performance of tilapia (Oreochromis niloticus) showed specific growth rates (SGR) in the range of 0.53–0.97. The range of feed conversion ratio (FCR) and protein efficiency ratio (PER) were 1.2–2.2 and 2.1–2.28, respectively. The results of the experiments showed total fish yield and net fish yield in the range of 17–22.8 ton/ha/y and 11.8–15.7 ton/ha/y respectively. In conclusion UASB-duckweed-tilapia ponds provide marketable by-products in the form of duckweed and fish protein, which represent a cost recovery for sewage treatment.     

细微泥沙对活性污泥系统的影响及其恢复特征

不同地区、排水体制和季节下,我国城市污水厂进水中细微泥沙含量〔以ρ(ISS)/ρ(COD_Cr)表征,ISS为无机悬浮固体〕差异较大,细微泥沙进入生化处理单元将会对活性污泥系统的正常运行产生一定影响. 考察在不同进水细微泥沙浓度下,活性污泥系统各运行参数的变化及系统恢复情况,结果表明:①随着进水中细微泥沙浓度的增大,活性污泥系统ρ(MLVSS)/ρ(MLSS)、SOUR′(单位质量污泥活性)、CST(污泥毛细吸水时间)和SVI(污泥容积指数)降低;在影响期,ρ(MLVSS)/ρ(MLSS)最小值、SOUR′平均值、CST平均值与细微泥沙浓度均呈良好的线性关系,R2(相关系数)分别为0.963 7、0.979 9和0.786 5;系统恢复所需时间与进水细微泥沙浓度呈正相关. ②污泥中细微泥沙浓度的增加导致SOUR′下降,使得ρ(MLSS)和剩余污泥量增加,不利于污水厂的节能减排. 可见进水中细微泥沙浓度的增大不利于污水厂的稳定高效运行.      

超临界CO2回收线路板工艺研究

采用正交试验设计进行了超临界CO₂回收废弃印刷线路板的实验。以温度、压强、时间和夹带剂为实验因素,通过对实验前后样本在重量、厚度、弯曲强度和断裂强度四方面变化的分析考察了各实验因素对实验效果的影响。实验结果表明,影响超临界CO₂法回收印刷线路板的最主要因素为温度、时间和夹带剂,超临界CO₂法回收废弃印刷线路板的最佳工艺条件：温度270℃,压强大于7.38 MPa,时间3 h,夹带剂(水)160 mL。实验进一步验证了压强对实验结果的非显著性影响。     

Experimental investigation of a 250-kW turbine organic Rankine cycle system for low-grade waste heat recovery

An organic Rankine cycle (ORC) is generally used for converting low-grade heat into electricity. In this study, an extensive literature survey was conducted to identify current research gaps on experimental ORC systems. Specifically, there is limited experimental data and limited details on thermal and expander efficiencies of ORC systems. In order to address these gaps, the objective of this study included developing a turbine ORC with a power output exceeding 50 kW and thermal efficiency exceeding 8% for a heat source temperature < 120°C. The experimental results indicated that the system achieved a net power output of 242.5 kW and a thermal efficiency of 8.3% (the highest value for a turbine ORC system for the heat source temperature below 120°C). Thus, the study addressed the gaps identified in the research area of ORCs.     

碳酸根对磷酸钙沉淀反应回收磷的影响简

以模拟的厌氧消化液为处理对象,通过小试实验,考察不同初始磷浓度C_P、Ca/P物质的量比、pH和温度下,碳酸根（CO₃^2-）对磷酸钙沉淀反应回收磷的影响;利用扫描电镜（SEM）、X射线衍射仪（XRD）和傅里叶变换红外光谱（FTIR）对沉淀产物进行表征。结果表明,高浓度的CO₃^2-对以磷酸钙沉淀反应去除和回收磷的效率影响较大;C_P相同时,CO₃^2-浓度（C_CO3^2-）越大,P的去除率越低,低C_P（20 mg/L）时尤为显著;当C_CO3^2-相同时,随着C_P的增大,反应速率加快,P的去除率逐渐升高,但升高幅度越来越小;增大Ca/P比和pH能提高P的去除率,降低CO₃^2-对磷酸钙沉淀反应的抑制作用,综合考虑实际效果,应选择Ca/P比为3.33,pH为9.0作为适宜的反应条件;升高温度对降低CO₃^2-对磷酸钙沉淀反应的抑制作用贡献不大。在C_P为60 mg/L,Ca/P比为1.67,pH为9.0,温度为20℃的条件下,当C _CO3^2-为0时,得到的沉淀产物主要为羟基磷灰石HAP;当C _CO3^2-为30 mmol/L时,得到的沉淀产物为磷酸钙和碳酸合磷灰石的混合物。     

MBR-RO组合工艺污水回收中试研究

以A2/O-MBR为预处理工艺,构建了MBR-RO组合系统并用于城市污水的直接处理与回收,考察了MBR工艺作为RO预处理的可行性,评价了RO膜的出水水质,分析了不同操作条件对RO膜的渗透性能及膜污染的影响.研究表明,RO出水平均值为TOC＜1.3 mg/L、NH 4-N＜0.03 mg/L、TN＜0.1 mg/L,TP未检出,电导率和浊度分别小于30μS/cm和0.12 NTU,MBR出水中的无机离子已被RO完全截留,MBR-RO系统具有很高的污染物降解能力和脱盐能力,其出水水质可达饮用水水质标准.MBR作为RO的预处理是完全可行的,连续6个多月的运行中RO膜污染表现不严重.     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

北京大气颗粒物和重金属铅干沉降通量及季节变化

为了解大气颗粒物和重金属铅(Pb)干沉降通量的变化规律,采用聚氨酯泡沫膜片为代用面联合干湿沉降自动观测设备,于2013年12月~2014年11月在北京城区采集了颗粒物干沉降,利用微波消解和电感耦合等离子体质谱仪对样品中全量Pb和水溶性Pb进行了测试分析.结果表明,北京大气颗粒物和Pb干沉降通量分别为0.84 t·(hm~2·a)~(-1)和7.56mg·(m~2·a)~(-1),呈现出春季冬季秋季~夏季的特征.大气颗粒物中水溶性Pb干沉降通量为3.14 mg·(m~2·a)~(-1),占Pb干沉降总量的43%,这一比例呈现出冬春季高于夏秋季的特征.人为源排放不仅增加了大气颗粒物和Pb的干沉降通量,也改变了水溶性Pb干沉降通量的季节分布.研究结果对科学评估重金属沉降的生态影响和健康效应提供了科学基础,同时凸显了消减人为源重金属排放的重要性.     

不同聚合度的聚磷酸铵灭火性能研究*

为考察聚磷酸铵（APP）干粉灭火剂的聚合度对其灭火性能的影响,选用3种不同聚合度的APP,结合其晶体结构、粒度分布及热性能测试,并通过粉体杯式燃烧器进行小尺寸灭火实验,对比3种样品的灭火性能及灭火机理,研究聚合度与其灭火性能的关系。热性能测试结果显示,聚合度的升高会导致APP的热稳定性下降,随着聚合度从80升至1 500,其初始分解温度从326.11 ℃降低至321.54 ℃,失重率从75.21%增加至79.66%。实验结果表明:随着APP聚合度的增加,火焰降温速率升高,最小灭火浓度（MEC）降低,灭火性能增强,当聚合度为1 500时,MEC为118.143 g/m3。聚合度的升高有助于APP在进入火场后更早、更充分地与火焰发生反应,从而使灭火性能得到提升。     

采油作业“三废”控制技术研究与应用

针对采油作业产生的废酸、固废、废水处理成本高、技术不成熟等问题,研发改性废酸降压增注、深部调剖技术;高比重污泥悬浮研磨后的固废处理技术;低耗水打塞、原井液+CaCl2压井、原井液处理再利用技术,减少了"三废"的产生,解决了"三废"环保处理费高等问题,消除了环保隐患,实现了清洁生产,环境效益显著。