Morphology and electrical conductivity of PACS

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复合诱变菌处理氨氮废水

采用诱变技术对微生物菌种进行了诱变处理，分别研究了紫外线诱变菌、硫酸二乙酯（DES）诱变菌和复合诱变菌对含氨废水的降解性能。结果表明，复合诱变后获得的变异菌株Z5对含氨废水中NH4^ -N的去除率比单独采用紫外线或DES诱变后获得的菌株有明显的提高。混合菌种对化肥行业废水中COD的NH4^ -N的去除率可以达到95%～98%，出水能达到行业一级排放标准。     

Enhanced removal of high-As(Ⅲ) from Cl(-Ⅰ)-diluted SO4(-Ⅱ)-rich wastewater at pH 2.3 via mixed tooeleite and(Cl(-Ⅰ)-free) ferric arsenite hydroxychloride formation

An advanced cost-saving method of removal of high-As(Ⅲ) from SO₄(-Ⅱ)-rich metallurgi cal wastewater has been developed by diluting the SO₄(-Ⅱ) content with As(Ⅲ)-Cl(-Ⅰ)-rich metallurgical wastewater and then by the direct precipitation of As(Ⅲ) with Fe(Ⅲ) at pH2.3.As(Ⅲ) removal at various SO₄(-Ⅱ)/Cl(-Ⅰ) molar ratios and temperatures was investigated The results showed that 65.2–98.2%of As(III) immobilization into solids occurred at the SO₄(Ⅱ)/Cl(-Ⅰ) mo...     

森林植被影响径流形成机制研究进展

径流形成机制研究在水文学领域中具有十分重要的意义,且受到越来越广泛的重视。水文环境以及水文通量的空间异质性和时间变化性导致了水文过程的尺度依赖性和非线性特征,没有对水文过程较为清晰的认识,就不能将某一地区某一流域森林植被变化水文生态效应的研究结果简单地外推到其他地区和其他流域。开发基于物理过程分布式参数水文模型可以为认识森林植被变化的生态学后效和客观评价森林植被水文生态效益提供可行的工具。但是要实现这一目标,研究森林植被影响径流形成机制是问题的核心所在。另一方面,认识森林影响径流形成机制有助于研究水文学中的尺度问题。研究森林植被影响径流形成机制的主要方法包括水文测验、同位素示踪和动力水文学计算等,研究的空间尺度则为坡面与流域相接合。从已有的研究成果来看,森林植被影响径流形成机制可以概括为:①森林流域径流形成为变动源区产流机制;②森林流域径流形成主要受饱和地表径流、亚表层径流和地下径流的控制;③森林流域径流形成机制是相互作用和相互转化的;④优先流在森林流域径流形成中起到了至关重要的作用。     

海水电磁屏蔽体

目的将海水作为一种电磁屏蔽材料,研究其电磁屏蔽效能以及影响因素。方法基于海水和玻璃的电磁特性参数,并利用电场和磁场切向分量连续边界条件,推导由双层玻璃封装海水所构成的复合电磁屏蔽体结构的屏蔽效能计算公式。结果具有一定厚度和盐度的海水墙体可以展示出良好的电磁屏蔽效能。通过增加海水层的厚度,提高海水的盐度以及温度,均可以有效增强海水电磁屏蔽体的屏蔽效能。改变封装海水的玻璃层厚度,对海水电磁屏蔽体的屏蔽效能影响较小。结论海水可以作为一种有效的电磁屏蔽材料,并具有光波透明、电磁屏蔽效能易重构、可循环导热等独特的优势。在军事和民用领域,海水电磁屏蔽体将具有重要的理论和应用价值。     

钙钛矿型烯土复合氧化物及其在汽车尾气净化工程中的应用

本文介绍了钙铁矿型烯土复合氧化物的结构特征、制备方法与催化性能；分析了该类氧化物对汽车尾气环境的适应性，并与现有的贵金属催化剂作了比较．     

复杂人——机系统中的人因失误

随着人——机系统变得越来越多，装置的可靠性越来越高，人因失误已成为重要的潜在事故源。本文描述了复杂人——机系统的特征，探讨了该系统中人因失误的定义、分类、数据采集和事故模型。这些研究有助于对人因失误的预测、预防和减少。     

一种导电混凝土的制备及其电阻率测量

本文综述了导电混凝土的发展以及应用情况，提出了用导电混凝土作为接地材料的设想，并选择氧化铁粉作为骨料，添加适量碳粉配制了一种导电混凝土来验证。通过改变不同的配比制作导电混凝土模型，用四电极法测量其电阻率，得出碳粉比例对其电阻率的影响。     

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.     

单轴应力对煤自燃特性参数和导热系数的影响研究

为探究单轴应力作用下煤氧化和传热特性，利用自制荷载加压煤自燃特性参数测定装置对炉体内长焰煤煤样进行程序升温。结合程序升温过程中煤临界温度Tc和Tg，对其进行阶段划分:阶段1为30℃~Tc；阶段2为Tc~Tg。计算了不同单轴应力下2个阶段煤表观活化能和平均耗氧速率。根据能量守恒得出程序升温过程煤导热系数随温度的变化，进一步分析煤导热系数与单轴应力的关系。结果表明:阶段1单轴应力为4 MPa时为临界轴压，煤表观活化能最大，平均耗氧速率最小；阶段2煤表观活化能和平均耗氧速率随单轴应力增大均呈抛物线变化，单轴应力为2.7 MPa时为临界轴压，煤表观活化能最大，平均耗氧速率最小；阶段1和2煤导热系数随温度升高均先减小后增大，并且煤导热系数随单轴应力增大呈三次函数变化。