Review: recent advances in biogas purifying technologies

Biomethane production through biogas upgrading is a promising renewable energy for some industries which could be part of the equilibrium needed with fossil fuels consumption to achieve a sustainable society. This paper presents a comprehensive list of biogas upgrading technologies focused on carbon dioxide removal as well as recent advances reported by researcher with wide expertise in this topic. Additionally, an extensive costs–performance comparison among the technologies studied is discussed. Among the different alternatives, chemical scrubbing stood out to achieve high biomethane purities while cryogenic technologies proved to be effective against methane losses. Regarding the different costs, water scrubbing and membrane separation seem to be the most affordable techniques.     

Experience in quantitative analysis of floristic structure and diversity in Samarskaya Luka

Quantitative methods have been applied to the study of floristic structure and diversity in Samarskaya Luka. The results show that Samarskaya Luka is a floristically heterogeneous area in which six elementary floras can be distinguished. This area has been assessed as a floristically autonomous formation, and its floristic representativeness was estimated.     

三峡库区水土流失特点及其环境危害防治措施探讨

水土流失是三峡库区主要环境问题之一,也是库区产生大量泥沙的根本因素,更是造成库区人民生活贫困的根源。本文就三峡库区水土流失的特点及其环境危害作了分析,提出了相应的防治措施,为水土流失防治工程提供科学依据。     

Analysis of the Trend and Seasonal Cycle of Carbon Monoxide Concentrations in an Urban Area (4 pp)

Background, Aim and Scope Air quality is an field of major concern in large cities. This problem has led administrations to introduce plans and regulations to reduce pollutant emissions. The analysis of variations in the concentration of pollutants is useful when evaluating the effectiveness of these plans. However, such an analysis cannot be undertaken using standard statistical techniques, due to the fact that concentrations of atmospheric pollutants often exhibit a lack of normality and are autocorrelated. On the other hand, if long-term trends of any pollutant’s emissions are to be detected, meteorological effects must be removed from the time series analysed, due to their strong masking effects. Materials and Methods The application of statistical methods to analyse temporal variations is illustrated using monthly carbon monoxide (CO) concentrations observed at an urban site. The sampling site is located at a street intersection in central Valencia (Spain) with a high traffic density. Valencia is the third largest city in Spain. It is a typical Mediterranean city in terms of its urban structure and climatology. The sampling site started operation in January 1994 and monitored CO ground level concentrations until February 2002. Its geographic coordinates are W0°22′52″ N39°28′05″ and its altitude is 11 m. Two nonparametric trend tests are applied. One of these is robust against serial correlation with regards to the false rejection rate, when observations have a strong persistence or when the sample size per month is small. A nonparametric analysis of the homogeneity of trends between seasons is also discussed. A multiple linear regression model is used with the transformed data, including the effect of meteorological variables. The method of generalized least squares is applied to estimate the model parameters to take into account the serial dependence of the residuals of this model. This study also assesses temporal changes using the Kolmogorov-Zurbenko (KZ) filter. The KZ filter has been shown to be an effective way to remove the influence of meteorological conditions on O₃ and PM to examine underlying trends. Results The nonparametric tests indicate a decreasing, significant trend in the sampled site. The application of the linear model yields a significant decrease every twelve months of 15.8% for the average monthly CO concentration. The 95% confidence interval for the trend ranges from 13.9% to 17.7%. The seasonal cycle also provides significant results. There are no differences in trends throughout the months. The percentage of CO variance explained by the linear model is 90.3%. The KZ filter separates out long, short-term and seasonal variations in the CO series. The estimated, significant, long-term trend every year results in 10.3% with this method. The 95% confidence interval ranges from 8.8% to 11.9%. This approach explains 89.9% of the CO temporal variations. Discussion The differences between the linear model and KZ filter trend estimations are due to the fact that the KZ filter performs the analysis on the smoothed data rather than the original data. In the KZ filter trend estimation, the effect of meteorological conditions has been removed. The CO short-term componentis attributable to weather and short-term fluctuations in emissions. There is a significant seasonal cycle. This component is a result of changes in the traffic, the yearly meteorological cycle and the interactions between these two factors. There are peaks during the autumn and winter months, which have more traffic density in the sampled site. There is a minimum during the month of August, reflecting the very low level of vehicle emissions which is a direct consequence of the holiday period. Conclusions The significant, decreasing trend implies to a certain extent that the urban environment in the area is improving. This trend results from changes in overall emissions, pollutant transport, climate, policy and economics. It is also due to the effect of introducing reformulated gasoline. The additives enable vehicles to burn fuel with a higher air/fuel ratio, thereby lowering the emission of CO. The KZ filter has been the most effective method to separate the CO series components and to obtain an estimate of the long-term trend due to changes in emissions, removing the effect of meteorological conditions. Recommendations and Perspectives Air quality managers and policy-makers must understand the link between climate and pollutants to select optimal pollutant reduction strategies and avoid exceeding emission directives. This paper analyses eight years of ambient CO data at a site with a high traffic density, and provides results that are useful for decision-making. The assessment of long-term changes in air pollutants to evaluate reduction strategies has to be done while taking into account meteorological variability     

治污投资的政府最优政策博弈

外部性的存在及制造商治污投资动机不足要求政府对制造商的行为进行相应的规制，政府在制造商的治污投资行为中主要的作用是通过各种措施使得制造裔有动机地去自觉地进行有效的治污投资;政府的主要控制手段包括直接管制及借助市场激励，政府制定环境管理策略的关键因素是“惩罚的力度与激励的强度”。基于社会福利最大化的角度；从制造商的治污投资行为出发研究政府制定环境管理规制的策略，通过一个三阶段的博弈模型分析福利增进量、洽污成本与治污效果等三个因素对“惩罚力度与激励强度”的影响。     

三峡库区中低产土壤重金属含量及其与小麦吸收的关系

三峡库区中低产土壤的Hg,As,Cr,Pb,Cu五个重金属含量（除渝北区外），均在国家土壤环境质量标准内，属自然背景值一级标准。Cd和Zn高于全国土壤中的平均含量和背景值含量，属二级标准。土壤的重金属含量与土壤母质类型，pH值，阳离子交换量，有机质，无定形铁和物理性粘粒有关，同时存在一定的地域分布。重庆近郊的土壤所有重金属含量相对较高。土壤重金属的可给态或有效性含量极低，锌和铜不是过量，而是不足。小麦籽粒中As,Cr,Pb,Zn,Cu含量低于国家食品对重金属限量标准和小麦籽粒背景值标准，Hg,Cd含量高于国家规定标准。籽粒中的Cu,Zn含量是小麦茎叶中的2.0-2.2倍，而茎叶中的Hg,Pb,As,Cr,Cd含量明显高于籽粒。     

水资源条件约束下西北农村地区生态经济发展对策

西北地区生态脆弱，社会经济发展相对落后。农业在全区经济中占有重要的地位，所以农村地区可持续发展对于实现西北地区可持续发展具有重要意义。通过分析西北地区水资源现状及特点和本区农村社会、经济发展现状，认为西北地区水资源严重缺乏，干旱化趋势将长期存在；农业结构不合理，乡镇工业污染严重、城镇化进程缓慢是制约本区农村地区可持续发展的主要因素。在此基础上，提出了在水资源严重缺乏条件下西北农村地区实现生态经济可持续发展的具体对策：积极调整农业结构，大力发展节水农业和推进农业产业化；加强小城镇社区生态环境基础设施建设，实施城镇化发展战略和乡镇企业可持续发展；建设生态型的小城镇，建立农村地区新型生态能源结构，加强小流域综合治理是改善农村生态环境和实现农村地区生态经济可持续发展的有效途径。     

2010年上海世博会与长江三角洲都市圈的联动发展

本文在分析世界博览会发展过程的基础上，阐述了2010年上海世博会对上海乃至长江三角洲都市圈联动发展的机遇和挑战，并提出了长江三角洲都市圈空间整合与联动发展的战略措施。