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.     

注入式低温等离子体技术用于卷烟厂异味处理的效果研究

将注入式低温等离子体技术应用于烟厂制丝排潮和制丝除尘排放气体异味处理中,研究了注入式低温等离子体发生器参数对臭味浓度、非甲烷总烃和可检出典型有机物去除率的影响规律。结果表明:注入式低温等离子体发生器工作电压越高,注入处理烟道的氧化活性物种浓度越高,注入量越大,臭味浓度、非甲烷总烃和可检出典型有机物去除率也越高。选取合理的工作电压,臭味浓度去除率可达90%以上,非甲烷总烃去除率分别达到了83.8%(制丝排潮)和78.1%(制丝除尘)。     

长庆油田4731B型非金属集输管道老化特性实验研究

为推广非金属复合管在油田集输油领域的应用，明确其在集输环境中的老化特性是关键问题。基于集输油现场的工程条件，针对长庆油田试用的4731B型钢丝缠绕增强复合管，以采出原油、采出水为实验介质，通过挂片实验、水压爆破实验，借助电镜扫描、拉伸测试对复合管内衬层老化行为、拉伸性能以及复合管极限承压与老化特性进行研究。结果表明:采出原油与采出水均可渗透扩散进入内衬层内部，还会发生局部深入渗透；采出原油、采出水的局部渗透速率分别可达3.4，10.6 mm/a；在某些工况下，内衬层表面产生裂纹；短时间（168 h）内的介质渗透甚至裂纹对其机械性能影响较小，而光氧老化影响显著；现场服役813 d后，复合管极限承压下降2.79%，表明复合管承压性能稳定。     

我国人口老龄化加速发展对城市化发展速度的影响

中国的城市化水平在过去的20余年里以年均超过一个百分点的速度提升,然而在城市化主要依靠人口乡城迁移推动的模式下,人口年龄结构老化对城市化发展的影响日渐显现。文章通过年龄移算法描述了乡城人口迁移流动的年龄模式,发现我国农村人口乡城迁移概率随年龄的分布呈现"中间大,两头小"的特征。然后,文章分析了此种年龄模式形成的原因,认为制度是影响乡城迁移年龄模式的决定性因素,制度变迁的缓慢性以及路径依赖决定了短期内我国人口乡城迁移年龄模式的稳定性。基于此,文章预测了人口老龄化对未来中国人口城市化发展的影响,得出的基本结论是,未来中国城市化发展的水平提高将进入一个相对平缓的时期,年度城市化水平的提升将显著低于过去一个时期,对未来10-20年中国城市化发展水平的预期未可过于乐观。针对这一结论,文章建议在未来的城市化过程中应完善社会融入机制和提升城市化质量。     

高压脉冲放电等离子体处理活性红X-3B染料废水

采用高压脉冲放电等离子体技术对活性红X-3B染料废水进行处理,考察了废水电导率、脉冲电压、脉冲频率、针板间距以及曝气量对处理效果的影响。实验结果表明,当废水电导率为200μS/cm、脉冲电压为34kV、脉冲频率为60Hz、针板间距为15mm、曝气量为12L/h、处理时间为60m in时,活性红X-3B染料废水脱色率能达到98.6%。     

机载电子设备灌封材料在西沙环境下的耐老化性研究

目的考察机载电子设备常用灌封材料在西沙环境下的耐老化性能。方法开展西沙海洋环境下4种灌封材料的棚下暴露实验,暴晒实验时间为3年,分别通过测试表面电阻、体积电阻、介电常数、损耗角正切等手段研究其老化特点。结果 267有机硅、DC160有机硅两类样品外观未出现明显变化,且介电常数、损耗角正切、表面电阻、体积电阻均变化较小,112FR环氧树脂、8836聚氨酯两类样品出现变色、产生针孔起泡等现象,介电常数、损耗角正切、表面电阻和体积电阻均变化幅度较大。结论在机载电子设备选用绝缘灌封材料时,可优先选用267有机硅、DC160有机硅这两类灌封材料,112FR环氧树脂和8836聚氨酯谨慎选用。     

丁腈橡胶密封圈高温老化行为——自由状态和承压状态

目的研究丁腈橡胶密封圈自由状态和承压状态下的高温老化行为。方法以拉伸强度和拉断伸长率为参数,对各温度下的老化行为进行表征和分析。结果 70℃条件下机械应力大大加快了橡胶密封件拉伸强度的下降速率,以致试验64 d时拉伸强度甚至比110℃时还低,拉断伸长率的下降速率也明显加快了;90℃加速条件下机械应力对拉伸强度的下降有一定的促进作用,但对拉断伸长率的变化基本无影响;110℃加速条件下机械应力对拉伸强度和拉断伸长率均没有明显的影响。结论机械应力在较低温度下可以显著促进丁腈橡胶密封圈热氧老化,高温条件下促进作用不明显。     

等离子体催化降解甲苯途径的原位红外研究

考察了在常温常压条件下,等离子体分别协同SiO₂、Al₂O₃、NiO/Al₂O₃降解甲苯的性能,并从材料的介电常数、对甲苯的吸附性及臭氧分解能力等角度分析了不同活性表现的原因,同时,采用原位红外技术研究了甲苯降解过程中催化剂表面吸附物种的变化.结果表明,当甲苯浓度为100 ppm,气体流量为100 mL·min^-1时,一定范围内,甲苯降解率随着能量密度、介电常数、吸附性及臭氧分解能力的提高而提高.甲苯在催化剂表面的吸附对其降解途径有十分重要的影响:在放电区域中加入SiO₂,甲苯仍然在气相中完成降解;而存在Al₂O₃ 及NiO/Al₂O₃时,甲苯氧化成苯甲酸的过程主要发生在催化剂表面,是甲苯催化降解的关键步骤,苯甲酸在活性位点的积累将降低催化剂的反应活性.     

Preparation of MgO/B2O3 coatings by plasma spraying on SUS304 surface and effects of heat-resistant

This study mainly deals with the preparation of MgO/B₂O₃ coatings by plasma spraying on the SUS304 surface and the effects of heatresistant. The power materials of low thermal conductivity were selected to control the heat divergent performance of high temperature parts. The reticular micro-structure between the cover thermal layer and the substrate was prepared by using the plasma spraying method. The powder mixture of MgO and B₂O₃ were selected as spraying materials and the SUS304 was used as the substrate material. The MgO/B₂O₃ coating was prepared on the surface of the SUS304 to provide better cover thermal performance. The properties of the microstructures and the morphologies were studied by Optical Microscope, Scanning Electron Microscope, Electron Probe Microanalyzer, and X-ray Diffraction. The results showed that the cover thermal performance has been improved.     

X射线光电子能谱在HTPB推进剂老化机理研究中的应用

采用X射线光电子能谱（XPS）法研究了HTPB推进剂在80℃热空气烘箱内分别老化0周、13周和24周的元素组成、化学价态及含量变化。通过拟合C,O,N,Cl等元素的XPS谱图,推测该推进剂在常温（25℃）贮存老化初期应是氧化交联,后期则出现降解断链,并认为NH4ClO4缓慢分解,攻击C C不饱和双键,使得C C双键含量降低是HTPB推进剂老化失效的主要原因。Al粉被包裹在推进剂粘合剂内部,XPS法未能检出Al粉。由于Al粉比较稳定,不参与推进剂老化过程,故XPS仍可用于HTPB推进剂老化机理研究。