产业结构与水资源相关分析理论及其实证

由于不同的产业部门和生活方式对水资源的消耗是不同的，经济的不同发展格局会在很大程度上改变水的需求，因此对宏观经济系统和水资源系统同时进行动态分析，才能揭示它们之间的内在联系。本以北京市为实例，利用相关分析理论和方法，系统地研究了产业结构调整与水资源需求变化之间的关系，同时通过计算，指出北京市产业结构与用水量之间存在着高度相关关系，发展第三产业，调整第二产业是解决首都水资源紧缺的重要方法。     

中国农村经济结构转移的Markov链研究

本文利用 Markov过程模型 ,对我国农村经济结构的变迁进行模拟与研究 .文中完成了各系统与子系统 Markov转移概率的估计 ,并以此为基础进行了统计分析与预测     

开的产业生态系统最优产业单链的搜寻

应用优化理论对开的产业生态系统进行了研究,以净产出为目标函数建立了开的产业生态系统产业单链的优化模型,并对最优产业单链的搜寻进行了讨论;应用本文的方法对当前我国农业面临的秸秆问题进行了讨论.     

Remotion of organic compounds of actual industrial effluents by electron beam irradiation

Organic compounds has been a great problem of environmental pollution, the traditional methods are not effecient on removing these compounds and most of them are deposited to ambient and stay there for long time causing problems to the environment. Ionizing radiation has been used with success to destroy organic molecules. Actual industrial effluents were irradiated using IPEN's electron beam wastewater pilot plant to study organic compounds degradation. The samples were irradiated with and without air mixture by different doses. Irradiation treatment efficiency was evaluated by the Cromatography Gas Analyses of the samples before and after irradiation. The studied organic compounds were: phenol, chloroform, tetrachloroethylene (PCE), carbon tetrachloride, trichloroethylene (TCE), 1,1-dichloroethane, dichloromethane, benzene, toluene and xilene. A degradation superior to 80% was achieved for the majority of the compounds with air addition and 2kGy delivered dose condition. For the samples that were irradiated without air addition the degradation was higher.     

Prediction of gaseous emissions from industrial stacks using an artificial intelligence method

A novel technique based on artificial intelligence methods able to predict pollutant emission concentrations from industrial stacks is presented. This procedure combines regression and classification problems into a unified technique, named minimax decision procedure. The core of this procedure is based on the minimax probability machine regression model. Using experimental databases, the trend of pollutant emissions and the level of pollution for one industrial thermal power station stack were presented. Based on this unified technique, numerical experiments provided the estimates of concentrations of CO, NO_x, NO, and SO₂ confirming the predictive power of this procedure. Presented at the 33rd International Conference of the Slovak Society of Chemical Engineering, Tatranské Matliare, 22–26 May 2006.     

CHARACTERIZATION OF POWDER FLOWABILITY USING MEASUREMENT OF ANGLE OF REPOSE

In response to the need in industry for a quick and reproducible method of measuring the flowability of powders in processes involving transport and storage, the apparently simple idea of measuring angle of repose has been revived. The simple tester first used has evolved over a number of years into the present version which is shown to be capable of handling quite small samples of powders that are even slightly cohesive. Experimental data are presented and results shown to compare consistently with the better known Hausner ratio.     

壳聚糖及其衍生物处理工业废水的研究进展

综述了近年来壳聚糖及其衍生物在处理工业废水中的应用.壳聚糖及其衍生物可处理工业废水中的重金属离子,如Cr（Ⅵ）、Cu（Ⅱ）和Zn（Ⅱ）等;可处理含染料的工业废水,如处理直接紫B、直接绿BE以及甲基橙等染料;还可用于处理印染、造纸和含油废水.壳聚糖及其衍生物具有易分离、可生物降解,无污染等特点,是绿色的水处理剂,且我国壳聚糖资源极为丰富,探索其在工业废水处理中的应用有着重要的价值.     

A rule-based expert system for chemical prioritization using effects-based chemical categories

A rule-based expert system (ES) was developed to predict chemical binding to the estrogen receptor (ER) patterned on the research approaches championed by Gilman Veith to whom this article and journal issue are dedicated. The ERES was built to be mechanistically transparent and meet the needs of a specific application, i.e. predict for all chemicals within two well-defined inventories (industrial chemicals used as pesticide inerts and antimicrobial pesticides). These chemicals all lack structural features associated with high affinity binders and thus any binding should be low affinity. Similar to the high-quality fathead minnow database upon which Veith QSARs were built, the ERES was derived from what has been termed gold standard data, systematically collected in assays optimized to detect even low affinity binding and maximizing confidence in the negatives determinations. The resultant logic-based decision tree ERES, determined to be a robust model, contains seven major nodes with multiple effects-based chemicals categories within each. Predicted results are presented in the context of empirical data within local chemical structural groups facilitating informed decision-making. Even using optimized detection assays, the ERES applied to two inventories of >600 chemicals resulted in only ~5% of the chemicals predicted to bind ER.     

工业过程生态生命周期评价的生态累积耗模型

生态生命周期评价(Eco-LCA)作为常规生命周期评价的拓展,提供了一种对工业过程生态影响及可持续性分析评价的方法.但目前Eco-LCA中尚缺失生态累积耗(ECEC)指标的完整模型.本文探讨了工业过程中自然资源消耗、社会经济投入和环境污染危害三种主要影响因素.通过构建囊括资源、经济、环境三要素的工业过程生态累积耗模型,完善了Eco-LCA方法应用于工业过程可持续分析的理论框架.最后,以此生态累积耗模型对中国原油生产进行了示例性分析讨论.     

磁流体技术的工业应用

介绍磁性流体的结构模型和分类方法,综述了磁流体密封技术、磁流体润滑、磁流体研磨、磁流体传热、磁流体传感器技术、磁流体分离技术、磁流体印刷技术的原理和应用,介绍了磁流体阻尼器、磁流体微泵、磁流体膜和医学等方面的应用,提出了磁流体及其应用技术研究的展望．