JHC－1型COD自动检测仪在污水处理场的应用

选用ＪＨＣ一且型ＣＯＤ自动检测仪对生化进口的ＣＯＤ值连续在线监测，在一年多的运行中检验了仪器的检测精度和准确度，并根据仪器的现场运行情况对仪器进行了一些完善，使之能较好地运行在实际生产中．     

山东省森林资源与木材供需平衡模型的建立与应用

本文在对山东省森林资源和木材供需平衡状况进行系统分析的基础上,利用系统动力学方法建立了山东省森林资源与木材供需平衡模型,通过对不同方案的政策仿真和结果分析,试图提出解决山东省木材供需矛盾的最佳途径,为制定林业发展政策提供依据。     

朝阳市农村能源的开发利用

本文简述了朝阳市农村能源的种类、数量及能源消耗状况,分析了农村能源在供需过程中存在的主要问题,并提出了相应的防治对策。     

Improving Pro-environmental Behaviours in Spain. The Role of Attitudes and Socio-demographic and Political Factors

Over the last 30 years, Spain has witnessed great economic growth. Nevertheless, in spite of an increasing degree of environmental concern, environmentally friendly attitudes and behaviours are still clearly below the European average. In this context, this paper analyses the impact of personal control and attitudes, and of certain socio-demographic, economic and political variables in the development of two environmentally friendly behaviours in Spain: consumption and purchase. The data were provided by a survey carried out in 2007 by the Centro de Investigaciones Sociológicas (Centre for Sociological Research) in Spain. The results show the importance of personal control, level of environmental information, political ideology, age and educational level variables to explaining the development of pro-environmental-related consumption behaviours. Personal attitudes, work situation, female gender and level of environmental information influence pro-environmental purchase behaviour in a positive way. Taking into account that personal attitudes are more determining of pro-environmental purchase than consumption behaviour, policy measures such as informal education, tax measures, social and individual norms and interpersonal and institutional trust are discussed to increase the development of pro-environmental behaviours in Spain.     

广东省能源消费与经济增长动态关系研究——基于环境库兹涅茨曲线假说

基于库兹涅茨曲线模型,对广东1980-2010年经济增长与能源消费的动态关系进行了实证研究.结果表明,在整个研究期间,广东省人均能源消费与人均经济增长协整关系呈单调正相关,1999年的结构断点使两者的协整关系发生变化,断点分隔的两个时间段内均符合倒“U”型模型,但曲线拐点后移.广东省现处于倒“U”型曲线的左端,EKC理论拐点为23253元（1978年不变价）.广东省应采取积极有效的节能减排政策,引导促进倒“U”型曲线弧度降低,让拐点提前到来.     

三烧溴化锂集中制冷空调系统改建设计

武钢三烧区域改建了二台大连三洋蒸汽型双效溴化锂吸收式制冷机。叙述了该改建项目的主机选型、参数选定、设计特点等。     

The real water consumption behind drinking water: the case of Italy

The real amount of drinking water available per capita is a topic of great interest for human health and the economic and political management of resources. The global market of bottled drinking water, for instance, has shown exponential growth in the last twenty years, mainly due to reductions in production costs and investment in promotion. This paper aims to evaluate how much freshwater is actually consumed when water is drunk in Italy, which can be considered a mature bottled-water market. A Water Footprint (WF) calculation was used to compare the alternatives: bottled and tap water. Six Italian brands of water sold in PET bottles were inventoried, analysed and compared with the public tap water of the city of Siena, as representative of the Italian context. Results showed that more than 3 L of water were needed to provide consumers with 1.50 L of drinking water. In particular, a volume of 1.50 L of PET-bottled water required an extra virtual volume of 1.93 L of water while an extra 2.13 L was necessary to supply the same volume of tap water. These values had very different composition and origin. The WF of tap water was mainly due to losses of water during pipeline distribution and usage, while WF of bottled water was greatly influenced by the production of plastic materials. When the contribution of cooling water was added to the calculation, the WF of bottled water rose from 3.43 to 6.92 L. Different strategies to reduce total water footprint are discussed.     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.