氯化磁性凹土树脂的制备与表征研究

利用表面负载的方法将有机化磁性凹土与苯乙烯、二乙烯苯等制备磁性凹土树脂;对磁性凹土树脂进行氯甲基化改性,制备出氯化磁性凹土树脂.表征了样品的形貌、结构以及表面积,研究了树脂对天然有机物(腐殖酸)的吸附性能.结果表明:氯化后的磁性凹土树脂的比表面积是原有的1.9倍,对附腐殖酸的饱和吸附能力也从原有的41.84 mg/g提高到了51.02 mg/g,这表明改性后的树脂增强了其对腐殖酸的去除能力.     

基于生态工业的区域光电产业链构建的探讨

生态工业是遵循循环经济理念和生态经济学原理,转变工业经济发展模式,解决人口、资源和环境压力,使人类社会走上可持续发展道路的生产组织方式。介绍了区域光电产业按照生态经济学原理发展的必要性,并从产业链和废物代谢链两方面探讨了生态工业链的构建。     

全氟辛烷磺酸(PFOS)对斑马鱼卵黄蛋白原mRNA水平的影响

为了研究环境低剂量全氟辛烷磺酸（perfluorooctane sulfonate,PFOS）对水生生物的内分泌干扰效应和可能的作用机制,测定了PFOS对斑马鱼（Brachydanio rerio）肝脏中卵黄蛋白原（vitellogenin,VTG）mRNA水平的影响.将斑马鱼暴露于4个PFOS的环境低剂量浓度组（0.1、1、10、100μg.L-1）中进行21d毒性试验,收集肝脏样品,提取RNA,采用荧光定量PCR（qRT-PCR）分别检测VTG1和VTG3的mRNA水平.结果表明：①PFOS暴露引起雄性斑马鱼肝脏VTG1和VTG3 mRNA水平升高,VTG1 mRNA水平升高与剂量呈正相关,在100μg.L-1暴露浓度处与对照组呈现显著性差异;VTG3的mRNA水平变化与剂量呈倒U型曲线,呈现典型的毒物刺激荷尔蒙效应,在10和100μg.L-1暴露浓度处与对照组呈现显著性差异;②PFOS暴露引起雌性斑马鱼肝脏中VTG1 mRNA水平升高,在10μg.L-1暴露浓度处与对照组呈现显著性差异,但在高浓度（10和100μg.L-1）处试验结果误差较大;VTG3 mRNA水平只在10μg.L-1暴露浓度处升高,但相比于对照组均没有显著性差异.试验结果表明PFOS暴露对斑马鱼的内分泌干扰作用明显,其毒性作用机制可能是类雌激素效应,而肝脏中VTG1和VTG3mRNA水平可能作为PFOS内分泌干扰效应评价的敏感生物标志物,但VTG1和VTG3 mRNA水平的响应曲线呈现基因亚型和性别差异.     

灾变性事件引起的消费品产业链价格波及效应研究

为了研究地震等灾变性事件对于消费品产业链内价格传递和市场的影响,本文利用从2008年2月至2009年3月四川省江油市畜产业链进行实证研究,使用向量纠错模型（VECM）和历史分解图（HDG）分析了价格调整的动态效果和沿产业链的因果关系。结果表明,价格的调整关于速度和大小都是不对称的,外生震荡对于该产业链的不同层面产生不同影响,导致价格差益的扩大和价格不完全传递。该方法能够有效地分析灾变事件条件下消费品产业链内价格波及效应问题。     

国外高绩效人力资源实践：理论回顾、分析与展望

顺应组织发展要求构建有效人力资源管理模式,增强企业的持续竞争力,已经成为战略人力资源管理的热点之一。通过梳理近年来相关研究成果,剖析国外高绩效人力资源实践的概念及其构成。从员工态度和行为、组织资本、组织能力等方面指出高绩效人力资源实践的结果变量。根据实证研究相关文献,梳理高绩效人力资源实践与企业绩效的内在关联性。在此基础上,提出高绩效人力资源实践的未来研究方向,为相关理论和实证研究提供指导。     

Efficient dechlorination of chlorinated solvent pollutants under UV irradiation by using the synthesized TiO2 nano-sheets in aqueous phase

Titanium dioxide(TiO2), which is the widely used photo-catalyst, has been synthesized by simple hydrothermal solution containing tetrabutyl titanate and hydrofluoric acid. The synthesized product has been applied to photo-degradation in aqueous phase of chlorinated solvents, namely tetrachloroethene(PCE), trichloroethene(TCE) and 1,1,1-trichloroethane(TCA). The photo-degradation results revealed that the degradation of these harmful chemicals was better in UV/synthesized TiO2 system compared to UV/commercial P25 system and UV only system. The photo-catalytic efficiency of the synthesized TiO2 was 1.4, 1.8 and 3.0 folds higher compared to the commercial P25 for TCA, TCE and PCE degradation, respectively. Moreover, using nitrobenzene(NB) as a probe of hydroxyl radical(.OH), the degradation rate was better over UV/synthesized TiO2, suggesting the high concentration of.OH generated in UV/synthesized TiO2system. In addition,.OH concentration was confirmed by the strong peak displayed in EPR analysis over UV/synthesized TiO2system. The characterization result using XRD and TEM showed that the synthesized TiO2 was in anatase form and consisted of well-defined sheet-shaped structures having a rectangular outline with a thickness of 4 nm, side length of 50 nm and width of 33 nm and a surface 90.3 m2/g. XPS analysis revealed that ≡Ti-F bond was formed on the surface of the synthesized TiO2. The above results on both photocatalytic activity and the surface analysis demonstrated the good applicability of the synthesized TiO2 nano-sheets for the remediation of chlorinated solvent contaminated groundwater.     

中国煤电和核电的环境影响与健康风险比较

将煤电与核电的环境影响和健康风险从全燃料链角度进行比较 ,结果表明 ,煤电燃料链的环境影响和健康风险比核电燃料链大。     

Two-echelon closed-loop supply chain deterministic inventory models in a batch production environment

This paper considers a two-echelon closed-loop supply chain consisting of a manufacturer and a remanufacturer at the upper echelon and a retailer at the lower echelon. The retailer faces a constant demand from customers, which is satisfied through recovered and new products received from the remanufacturer and the manufacturer, respectively. The manufacturer produces the product with finite rate, whereas the recovery of returned product is instantaneous at the remanufacturer. We develop three models to determine the optimal production-inventory policy of the players for minimizing the joint total cost of the system. In the first model, the retailer receives the product in batches from the manufacturer and the remanufacture simultaneously, whereas in the second and third models, the batches are received alternatively. In the third model, however, the procurement of raw material at the manufacturer is also considered. Numerical illustration is presented to examine the impact of certain key parameters.     

Evaluating the impact of uncertainty and variability on the value chain optimization of a forest biomass power plant using Monte Carlo Simulation

Mathematical programming models have been used to optimize the design and management of forest bioenergy supply chains. A deterministic mathematical model is beneficial for making optimum decisions; however, its applicability to real-world problems may be limited because it does not capture all the complexities, including uncertainties in the parameters, in the supply chain. In this paper, a combination of Monte Carlo Simulation and optimization model is used to evaluate the impact of uncertainty in biomass quality, availability and cost, and electricity prices on the supply chain of a forest biomass power plant. The optimization model is a deterministic mixed integer non-linear model with monthly time steps over a 1-year planning horizon. Variability in biomass quality, i.e. moisture content (MC) and higher heating value (HHV), based on the historical data of a real case study is studied in detail and fitted probability distributions are used in the model, while for electricity prices different scenarios are considered. The results show that the impact of variability in the MC on profit is higher than that of uncertainty in HHV. It is observed that the annual profit ranges between $13.3 million and $17.9 million in the presence of all possible uncertainties while its average is $15.5 million. Uncertainty in biomass availability and cost and electricity price results in the risks of having annual profit of less than $14 million and low monthly storage levels.     

复合链式结构下中国林业碳库系统测度模型构建

温室气体上升导致的全球气候变暖问题不容忽视,增加森林碳汇和木质林产品碳储是缓解温室效应的有效途径。根据森林碳汇功能与林产品碳储功能的关联理论与模型,推导和改进包括森林子碳库、土壤子碳库及木质林产品子碳库在内的林业碳库核算模型及方法,以实现目标碳从森林碳库向木质林产品碳库的过渡与转移。基于气候变化背景下森林-林产品产业链的发展现状,构建包括森林子碳库和林产品子碳库的复合一体化林业碳库模型,使之为中国林业碳库的计量与评价提供判据。首先,对包含森林子碳库和木质林产品子碳库在内的世界林业碳库的发展现状进行探讨,归纳和比较国内外主流的关联林业碳库评估方法模型,从而对中国林业碳库模型的构建提供理论背景支持和逻辑方法支撑。其次,分析现有中国林业碳库评估存在的优势和弊端,找出适合中国林业特点的国家碳库创新评估路径,运用政府间气候变化专门委员会指定的生产法的思路,通过分析目标碳在林产品产业链生产、加工等过程中的流入和支出,提出创新中国林业碳库的模型构想并对其系统内涵进行分析。最后,赋予中国林业碳库系统模型数学表达,分析其数理结构并进行逻辑演绎,在森林子碳库和木质林产品子碳库两个复合链式体系下构建中国林业碳库系统测度模型(ForestProducts Carbon Model/FPCM)。