城市生活垃圾机械生物处理效果

采用机械生物处理工艺研究了淋洗水解、脱水与好氧生物干燥对城市生活垃圾的处理效果.结果表明:在淋洗水解及压榨脱水机械生物处理阶段,控制淋洗液与生活垃圾重量比2∶1,停留时间1.2 ～1.4 d条件下,生活垃圾可以减量49.7％.而过程中产生的淋滤液COD为32 939 mg/L、pH为5.1、COD∶N∶P=261∶5∶3.6,可以进行厌氧消化处理或作为碳源进行资源化利用.在好氧生物干燥阶段,通风量采用0.08 m3/min,2～3d堆体温度可升至73℃,7d左右即可产出LCV高达15 000 kJ/kg左右的高品位垃圾衍生燃料(RDF),其产率为38.2％,氯元素含量低于0.5％,重金属含量较低,满足燃料要求.     

强化垂直流可渗透反应墙处理渗滤液污染物

针对垃圾渗滤液污染物组分多、处理难度大、可生化性差的特点,基于可渗透反应墙(PRB)被动修复技术,通过多种填料的组合构建三重垂直流PRB强化的砂箱模型,对垃圾渗滤液进行连续动态处理研究。实验结果表明,填料的组合顺序对强化PRB系统净化能力有较大的影响,由无烟煤、沸石、钢渣依次组成的强化垂直流PRB系统(2#砂箱)对NH+4-N、NO-3-N、NO-2-N、COD、PO3-4-P的平均去除率分别为96.12%、30.36%、75.24%、39.03%和30.47%,处理效果明显好于相同条件下依次由无烟煤、钢渣、沸石组成的强化垂直流PRB系统(1#砂箱)。与常规PRB处理系统相比,强化垂直流可渗透反应墙系统可实现垃圾渗滤液中多种污染物同步有效去除,是极具发展潜力的新型技术。     

植物内重金属的赋存形态及分布特征分析方法研究进展

植物内重金属分析不仅有助于阐述重金属迁移转化规律,揭示植物修复机理,也是监测评价大气、水及土壤环境重金属污染状况的重要依据。研究针对植物样品中重金属赋存形态及分布特征的分析方法进行综述,分别介绍了其原理、优缺点及应用。提出制定统一高效的分析检测方法,深化植物内重金属的赋存形态及分布特征与环境相关性的研究以及建立数据共享平台是植物样品重金属信息分析方法的未来发展方向。     

燃煤电厂超低排放气态污染物监测技术综述

介绍了燃煤电厂超低排放气态污染物监测系统的采样系统和分析单元,分析了其各自的优缺点。对稀释抽取式、冷干抽取式和热湿抽取式3种采样方法,以及非分散红外吸收法(NDIR)、非分散紫外吸收法(NDUV)、紫外差分吸收法(DOAS)、紫外荧光法(UVF)和化学发光法(CL)5种分析方法进行对比。结果表明,冷干抽取式+紫外差分法以及稀释抽取式+紫外荧光法+化学发光法可以较好地符合燃煤电厂超低排放监测的要求。     

Application of 1D and 2D MFR reactor technology for the isolation of insecticidal and anti-microbial properties from pyrolysis bio-oils

Valuable chemicals can be separated from agricultural residues by chemical or thermochemical processes. The application of pyrolysis has already been demonstrated as an efficient means to produce a liquid with a high concentration of desired product. The objective of this study was to apply an insect and microorganism bioassay-guided approach to separate and isolate pesticidal compounds from bio-oil produced through biomass pyrolysis. Tobacco leaf (Nicotianata bacum), tomato plant (Solanum lycopersicum), and spent coffee (Coffea arabica) grounds were pyrolyzed at 10°C/min from ambient to 565°C using the mechanically fluidized reactor (MFR). With one-dimensional (1D) MFR pyrolysis, the composition of the product vapors varied as the reactor temperature was raised allowing for the selection of the temperature range that corresponds to vapors with a high concentration of pesticidal properties. Further product separation was performed in a fractional condensation train, or 2D MFR pyrolysis, thus allowing for the separation of vapor components according to their condensation temperature. The 300–400°C tobacco and tomato bio-oil cuts from the 1D MFR showed the highest insecticidal and anti-microbial activity compared to the other bio-oil cuts. The 300–350 and 350–400°C bio-oil cuts produced by 2D MFR had the highest insecticidal activity when the bio-oil was collected from the 210°C condenser. The tobacco and tomato bio-oil had similar insecticidal activity (LC₅₀ of 2.1 and 2.2 mg/mL) when the bio-oil was collected in the 210°C condenser from the 300–350°C reactor temperature gases. The 2D MFR does concentrate the pesticidal products compared to the 1D MFR and thus can reduce the need for further separation steps such as solvent extraction.     

Fenton试剂处理汽车油漆废渣

采用Fenton试剂处理汽车油漆废渣。考察了FeSO_4用量、H_2O_2用量、反应温度、反应时间对处理效果的影响。实验结果表明,在FeSO_4用量为20.5 mg/g、H_2O_2用量为0.6 g/g、反应温度为80 ℃、反应时间为3 h的最优条件下,清漆渣、色漆渣、底漆渣3种漆渣的干基减量率均为20%左右,湿基减量率分别为67.9%、48.2%和64.2%,3种产物的脱水性能均有不同程度的提高,处理后废液的COD均为2 000 mg/L左右。采用Fenton试剂处理后的清漆渣产物粒径与原料相似,产物颗粒球形度高,表面粗糙,内部为多孔结构,产物作为固体燃料时燃烧更充分。Fenton试剂处理未对漆渣中的树脂主体产生较大的破坏。     

Trait space of rare plants in a fire‐dependent ecosystem

The causes of species rarity are of critical concern because of the high extinction risk associated with rarity. Studies examining individual rare species have limited generality, whereas trait‐based approaches offer a means to identify functional causes of rarity that can be applied to communities with disparate species pools. Differences in functional traits between rare and common species may be indicative of the functional causes of species rarity and may therefore be useful in crafting species conservation strategies. However, there is a conspicuous lack of studies comparing the functional traits of rare species and co‐occurring common species. We measured 18 important functional traits for 19 rare and 134 common understory plant species from North Carolina's Sandhills region and compared their trait distributions to determine whether there are significant functional differences that may explain species rarity. Flowering, fire, and tissue‐chemistry traits differed significantly between rare and common, co‐occurring species. Differences in specific traits suggest that fire suppression has driven rarity in this system and that changes to the timing and severity of prescribed fire may improve conservation success. Our method provides a useful tool to prioritize conservation efforts in other systems based on the likelihood that rare species are functionally capable of persisting.     

渗滤液耦合矿化垃圾制备甲烷氧化菌菌液

利用甲烷氧化菌菌液增加材料中甲烷氧化菌的数量,可以得到高甲烷氧化率的填埋场甲烷生物氧化覆盖材料。研究发现,渗滤液原水和渗滤液处理尾水均能促进甲烷氧化菌的生长,可利用渗滤液耦合矿化垃圾混合培养制备甲烷氧化菌菌液用于填埋场甲烷减排。填埋龄长的渗滤液原水有着较好的培养效果,得到的菌液在4 d内最高甲烷氧化速率达到2.68 mL/h,超过甲烷氧化菌培养液(nitrate minimal salt medium,NMS)的实验结果。渗滤液中总氮、无机碳、总有机碳和Ni元素的含量对甲烷氧化菌的培养过程影响较大,适用于甲烷氧化培养的渗滤液应满足:总氮1 400 mg/L,总有机碳55 mg/L,Ni元素0.4 mg/L,总磷含量较高。     

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.     

Multi-response optimization of Fenton process for applicability assessment in landfill leachate treatment

Fenton process, as a pretreatment method, was found to be effective in the primary treatment of mature/medium landfill leachate. However, the main problem of the process is the large amount of produced sludge that requires an accurate feasibility evaluation for operational applications. In this study, the response surface methodology was applied for the modeling and optimization of Fenton process in three target responses, (1) overall COD removal, (2) sludge to iron ratio (SIR) and (3) organics removal to sludge ratio (ORSR), where the latter two were new self-defined responses for prediction of sludge generation and applicability assessment of the process, respectively. The effective variables included the initial pH, [H₂O₂]/[Fe²⁺] ratio and Fe²⁺ dosage. According to the statistical analysis, all the proposed models were adequate (with adjusted R² of 0.9116–0.9512) and had considerable predictive capability (with prediction R² up to 0.9092 and appropriate adequate precision). It was found that all the variables had significant effects on the responses, specifically by their observed role in dominant oxidation mechanism. The optimum operational conditions obtained by overlay plot, were found to be initial pH of 5.7, [H₂O₂]/[Fe²⁺] ratio of 17.72 and [Fe²⁺] of 195 mM, which led to 69% COD removal, 2.4 (l sludge/consumed mole Fe²⁺) of SIR and 16.5 (gCOD removed/l produced sludge) for ORSR in verification test, in accordance with models-predicted values. Finally, it was observed that [H₂O₂]/[Fe²⁺] ratio and Fe²⁺ dosage had significant influence on COD removal, while Fe²⁺ dosage and [H₂O₂]/[Fe²⁺] ratio had remarkable effects on SIR and ORSR responses, respectively.