环境效率评价方法的比较研究

文章给出了已有文献对环境效率度量的6种DEA(数据包络分析)模型,比较了它们各自对非期望产出处理的特性和缺陷,并以安徽43家企业为例,对其度量结果存在的差异进行了分析和解释.度量结果显示,只有基于松弛测度的SBM模型对企业环境效率的差异识别性较强.     

单组分双分析通道红外气体检测方法研究

基于单分析通道非分散红外(non-dispersive infrared, NDIR)气体分析技术, 提出一种单组分双分析通道气体检测方法. 根据SO₂的红外吸收特征, 采用逐线积分气体吸收模型和方法, 选择洛伦兹展宽线型并考虑温度和气压对积分线强、线型的影响, 确定了两个分析通道的滤波参数.使用7.32 μm和4 μm波段分别反演小于等于 280 ppm与大于280 ppm的SO₂浓度;使用最小二乘法, 以三阶多项式为拟合模型, 获得了两个分析通道的定标曲线.对系统的测量线性度、检测限和测量准确度进行了分析. 两个分析通道的联合可以实现约几ppm至10000 ppm的宽动态范围的SO₂测量, 且系统测量线性度大于0.99, 测量误差小于5%.既克服了NDIR气体分析技术检测灵敏度和宽动态测量范围不能同时兼顾的缺陷, 良好的系统测量线性度还为多组分气体分析的干扰修正提供了非常必要的前提条件.     

Evolutionary model of the personal income distribution

The aim of this work is to develop a qualitative picture of the personal income distribution. Treating an economy as a self-organized system the key idea of the model is that the income distribution contains competitive and non-competitive contributions. The presented model distinguishes between three main income classes. 1. Capital income from private firms is shown to be the result of an evolutionary competition between products. A direct consequence of this competition is Gibrat’s law suggesting a lognormal income distribution for small private firms. Taking into account an additional preferential attachment mechanism for large private firms the income distribution is supplemented by a power law (Pareto) tail. 2. Due to the division of labor a diversified labor market is seen as a non-competitive market. In this case wage income exhibits an exponential distribution. 3. Also included is income from a social insurance system. It can be approximated by a Gaussian peak. A consequence of this theory is that for short time intervals a fixed ratio of total labor (total capital) to net income exists (Cobb–Douglas relation). A comparison with empirical high resolution income data confirms this pattern of the total income distribution. The theory suggests that competition is the ultimate origin of the uneven income distribution.     

Sampling and sampling strategies for environmental analysis

Sampling errors are generally believed to dominate the errors of analytical measurement during the entire environmental data acquisition process. Unfortunately, environmental sampling errors are hardly quantified and documented even though analytical errors are frequently yet improperly reported to the third decimal point in environmental analysis. There is a significant discrepancy in directly applying traditional sampling theories (such as those developed for the binary particle systems) to trace levels of contaminants in complex environmental matrices with various spatial and temporal heterogeneities. The purpose of this critical review is to address several key issues in the development of an optimal sampling strategy with a primary goal of sample representativeness while minimizing the total number of samples and sampling frequencies, hence the cost for sampling and analysis. Several biased and statistically based sampling approaches commonly employed in environmental sampling (e.g. judgmental sampling and haphazard sampling vs. statistically based approaches such as simple random, systematic random, and stratified random sampling) are examined with respect to their pros and cons for the acquisition of scientifically reliable and legally defensible data. The effects of sample size, sample frequency and the use of compositing are addressed to illustrate the strategies for a cost reduction as well as an improved representativeness of sampling from spatially and temporally varied environmental systems. The discussions are accompanied with some recent advances and examples in the formulation of sampling strategies for the chemical or biological analysis of air, surface water, drinking water, groundwater, soil, and hazardous waste sites.     

亲水作用色谱及其在环境分析中的应用进展

亲水作用色谱(HILIC)是一种分离极性和亲水性化合物的液相色谱模式,其作为反相液相色谱(RPLC)的重要补充,近年来越来越受到各个领域的关注和重视。这不只是因为强极性化合物的分离问题在各个领域引起了重视,而且因为与RPLC比较,HILIC具有流动相组成黏度低、色谱柱渗透性好、与质谱联用的灵敏度高及反压较低等优势。本文简要概述了HILIC的发展历程、特点及保留机理,重点介绍了HILIC用于环境分析的最新进展,评述了HILIC及RPLC用于污染物分析的优缺点,并指出了HILIC用于环境分析的未来发展趋势。     

有“生命”的电线:浅析微生物纳米导线电子传递机制及其应用

微生物纳米导线是指在缺少可溶性电子受体的条件下由微生物形成类似菌毛的导电附属物,通过它传递电子是微生物为提高胞外电子传递效率而进化形成的一种有效的电子传递方式。微生物可利用具有高效导电特性的纳米导线将电子传递到远离细胞表面的地方,从而使微生物摆脱了需要直接接触胞外电子受体(Fe(Ⅲ)氧化物或电极)才能传递电子的限制。微生物纳米导线的发现丰富了人们对胞外呼吸多样性的认识,同时其在提高微生物燃料电池产电效率、促进环境中有机污染物的快速降解和生物能源等方面具有重要的应用前景,成为了当前研究的前沿和热点。本文简单介绍了微生物纳米导线的基本特性和产生纳米导线的微生物种类,重点阐述了由Geobacter和Shewanella微生物生成的纳米导线电子传递机制以及其在生物能源和生物修复等方面的应用,并展望了今后的研究重点。     

非线性吸收对多组分气体分析的影响及其修正方法

利用非分散红外(NDIR)技术研究了非线性吸收现象对多组分气体分析交叉干扰扣除的影响及其修正方法。理论上推导了由于非线性吸收导致的干扰系数变化对系统测量准确度的影响。对常规的干扰方程组进行了修正,使用干扰函数来定量分析气体间的交叉干扰,当测量气体存在非线性吸收时,干扰函数也会发生相应变化。基于最小二乘法,以三阶多项式为拟合模型,拟合出了系统的干扰函数。利用拟合的干扰函数,通过实验证明了提出的修正方法在系统存在非线性吸收现象时仍能有效地扣除气体间的交叉干扰。     

Environmental application of elemental speciation analysis based on liquid or gas chromatography hyphenated to inductively coupled plasma mass spectrometry—A review

In recent years the number of environmental applications of elemental speciation analysis using inductively coupled plasma mass spectrometry (ICP-MS) as detector has increased significantly. The analytical characteristics, such as extremely low detection limits (LOD) for almost all elements, the wide linear range, the possibility for multi-elemental analysis and the possibility to apply isotope dilution mass spectrometry (IDMS) make ICP-MS an attractive tool for elemental speciation analysis. Two methodological approaches, i.e. the combination of ICP-MS with high performance liquid chromatography (HPLC) and gas chromatography (GC), dominate the field. Besides the investigation of metals and metalloids and their species (e.g. Sn, Hg, As), representing “classic” elements in environmental science, more recently other elements (e.g. P, S, Br, I) amenable to ICP-MS determination were addressed. In addition, the introduction of isotope dilution analysis and the development of isotopically labeled species-specific standards have contributed to the success of ICP-MS in the field. The aim of this review is to summarize these developments and to highlight recent trends in the environmental application of ICP-MS coupled to GC and HPLC.     

A method for rapid,non-targeted screening for environmental contaminants in household dust

Household dust can be a major source of human exposure to environmental contaminants such as polybrominated diphenyl ethers, pesticides, and other compounds. This work shows a screening technique that may be used to identify components in an environmental sample as xenobiotics based on mass spectral characteristics of classes of compounds that may be expected to be present in the environment. Household dust (SRM-2585) from the National Institute of Standards and Technology (NIST) was extracted with hexane using accelerated solvent extraction. Large molecules, such as triglycerides and fatty acids were removed with gel permeation chromatography. The extract was then concentrated and analyzed by comprehensive two dimensional gas chromatography coupled to a time of flight mass spectrometer. The resulting peak table was automatically filtered to identify compound classes such as phthalates, polycyclic aromatic hydrocarbons and their heterocyclic analogs, chlorinated compounds, brominated compounds, and nitro compounds. While phthalates can be identified by abundances at specific masses, the identification of the remaining classes is based on the identification of the molecular ion and identification of isotope clusters or other spectral characteristics. The technique detected compounds identified and quantified by NIST as well as compounds not identified by NIST in the sample. By comparison with concentrations determined by NIST for the analytes found, the technique is able to identify analytes in these compound classes at concentrations as low as 10–20 ng/g dust.     

Application of liquid chromatography/quadrupole time-of-flight mass spectrometry (LC-QqTOF-MS) in the environmental analysis

This paper gives an overview of the potentials of liquid chromatography-hybrid quadrupole time-of-flight mass spectrometry (LC-QqTOF) in the environmental analysis. Examples of applications of QqTOF instruments for target analysis of pharmaceuticals and pesticides are presented and discussed, as well as applications aimed on the identification of unknown compounds present in environmental waters or on the elucidation of structures of biodegradation and photodegradation products. Specific issues such as uncertainty of mass measurement and quantitative performances are discussed in details.