循环经济理论及其在中国实践研究

循环经济理论在国际上尚处于探索与发展过程的过程中，本文运用系统科学和实证研究的方法，对我国循环经济理论与实践问题进行了初步分析。     

Uncertainty representation and propagation in quantified risk assessment using fuzzy sets

It is generally acknowledged that there are substantial uncertainties present in any analysis of risk. This paper provides a brief overview of the current techniques used for uncertainty analyses, and highlights their inappropriateness for practical use in the complete risk assessment process. The concept of fuzzy sets as a means for quantifying uncertainty is introduced and a case study demonstrates the application of this method to a simple consequence analysis where parameter uncertainty is considered. The results of this fuzzy analysis are compared with those of a more traditional probabilistic approach using a Monte Carlo simulation. This comparison demonstrates that the novel approach of fuzzy sets is a more appropriate technique due to its non-statistical nature and that the amount of computation required is substantially reduced compared to the traditional probabilistic approach. The versatility of fuzzy set theory suggests that this approach could also be used to quantify other types of uncertainty present in the risk assessment process, including model uncertainty and expert opinion.     

山东省耕地资源价值评估研究

显化耕地资源价值，有利于耕地保护和农业可持续发展。本文以山东省为例，将耕地看作一个生态经济系统，按耕地资源价值形成的影响因素，以收益倍数法为基础，应用模糊数学和灰色系统原理，对耕地资源进行价值核算。     

模糊综合评判法在隧道地质超前预报中的应用

为了更准确地进行隧道地质超前预报,在构建了隧道围岩稳定性等级划分综合评估体系的基础上,采用模糊综合评判法对沪蓉西扁担垭隧道某塌方段围岩稳定性进行了综合评估研究,并得出了修正后的扁担垭隧道围岩稳定性评价体系,其评估结果与实际情况一致。     

基于D-S证据理论的可靠性强化试验的综合评价

针对可靠性强化试验的各个试验项目对产品的可靠性影响的综合评价问题,应用D-S证据理论对其试验效果进行评价。介绍了D-S证据理论的基本概念及D-S证据融合准则,并针对RET给出应用D-S证据理论对其进行评价的方法。该方法首先针对RET对产品可靠性影响的各个可能性结果构造识别框架;其次,将RET中的每个试验项目视为一个证据,建立相应的证据体;最后,使用D-S证据融合规则对各个证据进行融合。结果表明,针对RET采用D-S证据理论进行评价有助于将多个证据有机地融合在一起,有利于提高评价的准确性,降低不确定度。     

模糊物元法综合评价福州市大气环境质量

大气环境质量的综合评价是城市环境质量考核的重要内容,鉴于大气环境质量评价中客观存在的不确定性和模糊性,将熵值理论与模糊物元分析法相结合应用于大气环境质量综合评价中,可有效解决这种不确定性和模糊性。应用该模型对福州市的大气环境质量进行综合评价,将评价结果与属性识别理论模型的评价结果相比较,二者基本吻合,结果证明该方法可行。     

Adaptive neuro fuzzy inference system for classification of water quality status

An adaptive neuro fuzzy inference system was used for classifying water quality status of river. It applied several physical and inorganic chemical indicators including dissolved oxygen, chemical oxygen demand, and ammonia-nitrogen. A data set (nine weeks, total 845 observations) was collected from 100 monitoring stations in all major river basins in China and used for training and validating the model. Up to 89.59% of the data could be correctly classified using this model. Such performance was more competitive when compared with artificial neural networks. It is applicable in evaluation and classification of water quality status.     

Enhanced ozonation of dichloroacetic acid in aqueous solution using nanometer ZnO powders

Nanometer zinc oxide (ZnO) powders were used as a catalyst to enhance the ozonation for the degradation of dichloroacetic acid (DCAA) in aqueous solution. The batch experiments were carried out to investigate the e ects of key factors such as catalyst dosage, ozone dosage, solution pH and tert-butyl alcohol (t-BuOH) on the degradation e ciency of DCAA. Density functional theory (DFT) was adopted to explore the mechanism of generating hydroxyl radical (.OH) on the ZnO surface. The results showed that adsorption and ozonation processes were not e ective for DCAA removal, and the addition of ZnO catalyst improved the degradation e ciency of DCAA during ozonation, which caused an increase of 22.8% for DCAA decomposition compared to the case of ozonation alone after 25 min. Under the same experimental conditions, the DCAA decomposition was enhanced by increasing catalyst dosage from 100 to 500 mg/L and ozone dosage from 0.83 to 3.2 mg/L. The catalytic ozonation process is more pronounced than the ozonation process alone at pH 3.93, 6.88, and 10. With increasing the concentration of t-BuOH from 10 to 200 mg/L, the degradation of DCAA was significantly inhibited in the process of catalytic ozonation, indicating that ZnO catalytic ozonation followed .OH reaction mechanism. Based on the experimental results and DFT analysis, it is deduced that the generation of .OH on the ZnO surface is ascribed to the adsorption of molecule ozone followed by the interaction of adsorbed ozone with active sites of the catalyst surface. It is also concluded that ZnO may be an e ective catalyst for DCAA removal, which could promote the formation of .OH derived from the catalytic decomposition of ozone.     

电力工业环境污染问题的博弈分析

就中国电力工业环境污染问题,在简要介绍其污染的现状和严重性及国内外研究的基础上,根据博弈论的基本原理,构建了电力工业环境污染与治理两个方面的博弈模型,旨在通过该模型分析电力工业环境污染行为产生的原因。通过对博弈模型决策问题的分析,并结合经济学原理,得出环境问题产生的根源在于环境资源的过度使用和供给的不足。最后,提出了防治电力工业环境污染相应的政策和建议,以期为加强电力工业环境管理提供参考。     

二噁英结构与正辛醇-水分配系数相关性的密度泛函理论

为精确描述二噁英分子的电子结构及其定量结构/性质相关关系(QSPRs),运用密度泛函理论,在B3LYP/6-311G**水平上,分别对多氯二苯并对二噁英(PCDDs)和多氯二苯并呋喃(PCDFs)进行了优化计算.相应量子化学参数,即平均分子极化率(α),熵(S),极化率和四极矩的张量分量(αxx,αyy,αzz和Qxx,Qyy,Qzz)用于该类化合物辛醇-水分配系数的QSPR研究,构建了2个单变量和1个双变量模型,其决定系数R2分别为0.962、0.950和0.951;其显著性检验因子F分别为509.759、379.498和186.234.PCDD/Fs在辛醇相-水相间的分配性质主要与分子体积因素有关,而电性因素的影响较小;不同模型预测值间的差异与模型中预测变量本身性质和实验值的有限性有关.经比较,本研究中所建立的3个QSPRs模型尽管只有1个或2个变量,但其结果与复杂的偏最小二乘分析(PLS)相近.