高灵敏度红外图像式烟雾相对浓度测试的研究和实现

为准确可靠的对大空间的早期火情做出监测,避免大规模火灾的发生,对烟雾情况进行研究,研制了图像式的高灵敏度红外烟雾相对浓度测试仪。该测试仪利用了烟雾粒子的光衰减原理工作,接收主动的矩阵式红外发射源发出红外光,将获得的CCD图像登信息传送到计算机,利用相邻帧平均滤波进行数字滤波处理,插值形成浓度的二维平面投影图,连续监测得到动态监测图。     

石化企业VOCs无组织排放源强的反演模拟

针对石化行业面源无组织排放VOCs难以准确定量的问题,建立了基于开路式傅里叶变换红外光谱技术(OP-FTIR)的面源污染源源强反演模型,并进行了现场模拟试验。试验结果表明,风向、风速、大气稳定度、监测距离、数据处理周期等都是影响反演模型准确性的重要灵敏度参数。以反演源强Q_P与实际排放量Q的比值(Q_P/Q)为量化指标,对各影响因素进行优化处理,确定了构建反演模型适用的边界条件。当各灵敏度参数稳定于适用边界条件之内时,Q_P/Q为0.85~0.90。     

Use of thermal analysis techniques (TG-DSC) for the characterization of diverse organic municipal waste streams to predict biological stability prior to land application

The use of organic municipal wastes as soil amendments is an increasing practice that can divert significant amounts of waste from landfill, and provides a potential source of nutrients and organic matter to ameliorate degraded soils. Due to the high heterogeneity of organic municipal waste streams, it is difficult to rapidly and cost-effectively establish their suitability as soil amendments using a single method. Thermal analysis has been proposed as an evolving technique to assess the stability and composition of the organic matter present in these wastes. In this study, three different organic municipal waste streams (i.e., a municipal waste compost (MC), a composted sewage sludge (CS) and a thermally dried sewage sludge (TS)) were characterized using conventional and thermal methods. The conventional methods used to test organic matter stability included laboratory incubation with measurement of respired C, and spectroscopic methods to characterize chemical composition. Carbon mineralization was measured during a 90-day incubation, and samples before and after incubation were analyzed by chemical (elemental analysis) and spectroscopic (infrared and nuclear magnetic resonance) methods. Results were compared with those obtained by thermogravimetry (TG) and differential scanning calorimetry (DSC) techniques. Total amounts of CO₂ respired indicated that the organic matter in the TS was the least stable, while that in the CS was the most stable. This was confirmed by changes detected with the spectroscopic methods in the composition of the organic wastes due to C mineralization. Differences were especially pronounced for TS, which showed a remarkable loss of aliphatic and proteinaceous compounds during the incubation process. TG, and especially DSC analysis, clearly reflected these differences between the three organic wastes before and after the incubation. Furthermore, the calculated energy density, which represents the energy available per unit of organic matter, showed a strong correlation with cumulative respiration. Results obtained support the hypothesis of a potential link between the thermal and biological stability of the studied organic materials, and consequently the ability of thermal analysis to characterize the maturity of municipal organic wastes and composts.     

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.     

火焰原子吸收测定中的背景吸收和基体干扰

为了探讨火焰原子吸收法测定成分复杂样品时干扰的影响,采用扣除背景的方法来排除背景吸收,采用标准加入法来消除基体干扰的影响。通过对上述方法的对比实验,绘制相应的工作曲线图,能直观、准确地反映出背景吸收和基体干扰对样品测定的影响程度。扣背景和采用标准加入法两者结合使用能达到使样品测定结果准确可靠的目的。     

高效絮凝剂制备的前期浸取研究

我国油田多采用絮凝剂处理含油污水。为得到高效、廉价的絮凝剂,使用赤泥最优化制备聚合氯化铝铁。通过化学分析法和X射线衍射分析,得出赤泥中铝﹑铁元素含量。正交实验结果表明:影响Fe溶出的因素由强到弱依次为盐酸用量系数﹑反应温度﹑目数和反应时间,最佳浸出条件为目数80～120、液固比5.5、反应温度95℃、反应时间3.5h。     

红外光度法测定石油类和动植物油常见问题探讨

根据石油类在波数为2930cm-1、2960 cm-1、3030 cm-1全部或部分谱带处有物征吸收的原理,采用红外光度测油仪和水样絮凝富集技术测定石油类、动植物油。     

气动热效应对某红外导引头影响分析

导弹高速飞行时所产生的气动热,将影响探测器正常成像质量,从而影响导弹的命中精度和导引头的作用距离.由于新型隔热材料的采用,气动热对导引头性能影响减小很多.采用ANSYS软件对某导弹的气动热效应进行仿真,为高速导弹气动性能分析及其环境失效研究提供参考.     

红外和热分析联用在化工产品研究中的应用

运用实例论述了红外光谱分析与热分析联用在化工产品的产品开发和检测方面的应用。     

基于拉曼光谱的铅致肝细胞生物分子变化研究

利用拉曼光谱技术采集不同铅离子暴露时间(0.5,1.5,3,6,12,24h)、暴露浓度(0.05,0.1,0.5,1,5mg/L)下HepG2细胞的光谱数据,欲探究在不同铅暴露条件下肝细胞的分子变化及其相关机制.研究结果发现,在不同条件下各组细胞的光谱形态基本相同,但部分特征峰的吸光度强度存在差异.经多元统计分析发现,除6h外,同一暴露时间下不同暴露浓度细胞的光谱数据在LD1上均存在离散趋势,并在暴露24h时最明显.细胞内蛋白质、脂质、核酸、类胡萝卜素、碳水化合物等生物分子的特征峰表现出明显差异,但不同类型生物分子发生显著变化的时间并不相同.由此可见铅暴露可损伤肝细胞蛋白质、脂质、核酸、类胡萝卜素的结构并影响其正常功能,这种毒性效应呈剂量-效应关系,且随暴露时间的增加而增加.本研究说明拉曼光谱可以实现铅对肝细胞生物分子变化的相关检测,这不仅为之后的细胞毒理研究提供了新的思路,同时也为环境污染物的安全评价提供了理论依据.