The research of market structures for remanufactured products

The rapid development of technology has made it easier to distribute products directly, and many enterprises excel at executing a multi-channel strategy to distribute products. The introduction of direct channel adds a new competition dimension to the enterprises. This paper considers three market channel structures: R-Channel, D-Channel and H-Channel. In R-Channel, both new products and remanufactured products are sold through a retailer. In D-Channel, new products are sold through retailers and remanufactured products are sold directly to consumers. In H-Channel, new products are sold through retailers, while remanufactured products through dual channel. Using the game theory, we obtain and analyse the equilibrium prices, market demands and the profits gain under these three settings. At the same time, the influence of consumers’ willingness to pay on the environment performance is researched. Our results show that the manufacturer prefers H-Channel. By introducing the direct channel the manufacturer is always economically better off, but it is not for the retailer. The numerical simulation also confirms the theoretical analysis and shows that H-Channel has advantages of economic benefit and environmental performance. It is feasible for practical application.     

Discovering meaningful information from large amounts of environment and health data to reduce uncertainties in formulating environmental policies

This study uses knowledge discovery concepts to analyze large amounts of data step by step for the purpose of assisting in the formulation of environmental policy. We performed data cleansing and extracting from existing nation-wide databases, and used regression and classification techniques to analyze the data. The current water hardness in Kaohsiung, Taiwan contributes to the prevention of cardiovascular disease (CVD) but exacerbates the development of renal stones (RS). However, to focus on water hardness alone to control RS would not be cost effective at all, because the existing database parameters do not adequately allow for a clear understanding of RS. Analysis of huge amounts of data can most often turn up the most reliable and convincing results and the use of existing databases can be cost-effective.     

基于改进遗传算法的河流水污染源反演方法

针对河流水污染应急响应过程中污染源排放历史迟知、未知的问题,结合多种群遗传算法和自适应遗传算法,利用一维河流水质模型和水质监测数据,研究建立了基于改进遗传算法的河流水污染定量源反演方法,实现了对河流污染源排放历史的识别与重构.将该方法应用于美国特拉基河流的3个不同流量下的示踪剂实验中,对示踪剂排放历史进行定量源反演分析.结果表明：IGA算法对高、中、低不同流量下的3次示踪剂实验均可以很好的重构和识别示踪剂排放历史,对于实际河流水污染源反演分析的误差均在可接受范围内.IGA算法在河流水污染源反演分析中具有一定的可靠性和稳定性,可为河流水污染精准溯源与治理提供科学的技术支撑.     

苏州河干流水质模型的开发研究

对《苏州河水质模型的开发》课题完成的大部分内容进行了介绍，包括水质模型的选择及其原理、模型研究的内容与开发方法、干流水质模型的率定与验证，并据此给出了关于苏州河水环境特性的一些参数值，计算的基准时间为1999年夏季苏州河第3次调水试验时期。需要指出的是，苏州河正处于动态的综合整治过程中，模型中有关参数也会随其相应改变。     

Effect of acid precipitation on leaching of nutritionsand aluminium from forest soils

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温差拉深法在制造大型杯形件中的应用

用温差拉深法制造大型杯形件毛坯,可避免毛坯拉断和起皱,最大限度地降低拉深系数、减少拉深次数、降低加工成本。     

取代苯胺和苯酚类化合物对大型■(Daphnia magna Straus)的定量结构-活性关系研究

研究了３６个取代苯胺和苯酚类化合物对大型的急性毒性，应用正辛醇／水分配系数、线性溶解能关系参数和分子连接性指数得出了该类化合物的定量构效关系方程，这些方程可以用来进行该类化合物危害性初评．ＬＳＥＲ法得到的ＱＳＡＲ方程拟合效果较好，增大分子体积及偶极性极化性，均可增大毒性．化合物与蛋白质等生物大分子的氢键键合作用是导致该类化合物毒性高于其基本毒性的原因．     

浅谈对管理者的安全教育

"安全生产,教育为本",管理者安全教育是企业全员教育的重要组成部分,加强对管理者的安全教育是新世纪现代企业管理中的一项新的课题,是上级主管部门、企业党委和行政领导的一项重要的任务,是能否抓好安全生产,使各项工作顺利开展的关键.     

应用水质模型方法研究河流污染控制

应用水质模型对河流污染控制进行研究，经济、方便、有效。讨论了水质模型方法的原理、必然性、种类、建立步骤和应用范围，并以黄浦江为例，对水质模型的建立与应用进行了说明。     

The buffering effects of aquatic sediments against acidic deposition

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