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     

布袋式除尘器在电厂输煤系统上的应用

针对胜利电厂皮带输煤系统粉尘浓度高、污染环境、影响职工身体健康的问题，用布袋式除尘器替代原有的静电除尘器，并对布袋除尘器辅助系统进行了多处改进和完善，提高了运行的可靠性。投运后粉尘质量浓度由原来的18．3mg／m^3降低至1．68mg／m^3，除尘效率达到了98％以上。     

生态示范区可持续发展灰色评估系统设计应用

介绍了如何在国家级生态示范区的可持续发展评估中运用灰色系统理论构建定量评估系统模型,并给出了关系型指标表、量纲模型、多元灰色预测模型和发展系数模型以及应用实例.根据该评估系统模型所开发的灰色评估系统由数学模型、计算机软件和硬件组成,可自动完成量纲统一、指标预测、相关分析、综合评估和趋势图表的运算和输出.     

外来生物入侵关键点控制管理体系——基于风险管理的研究

将风险管理理论与外来生物入侵风险分析相结合，借鉴食品质量控制中的关键点控制原理，提出了防止外来生物入侵风险的关键点控制方法。针对人类有意引种、随人类活动无意引入以及自然传入3类外来生物入侵的传入途径，在入侵途径上确定若干个风险控制关键点，有针对性地提出了相应的控制措施，以减小外来生物的入侵风险，提高我国在防止外来生物入侵方面的管理与控制效率。     

土著致病菌及其胞外物在生物防治斑马贝中的作用

无脊椎动物斑马贝(Dreissena polymorpha) 的生物污损造成了巨大的经济损失,而应用从斑马贝体内分离出的土著菌株及其体外代谢产物对它进行生物防治是一种经济效益显著且对环境友好的方法.本文主要报导从斑马贝体内分离的土著菌株中筛选出致病菌并研究该细菌及其代谢产物对它的控制作用.在三十多种土著菌株中,中间气单胞菌( Aeromonas media),维罗纳气单胞菌(A. veronii),杀鲑气单胞菌杀鲑亚种(A. salmonicida subsp. salmonicida)和腐败希瓦氏菌(Shewanella putrefaciens)是幼体斑马贝的致命致病菌.当接种量为每只斑马贝107 个细菌时,接种中间气单胞菌、杀鲑气单胞菌杀鲑亚种和腐败希瓦氏菌的5 d 死亡率为100%,而维罗纳气单胞菌为65%.通过扫描电镜(SEM)发现,垂死的斑马贝肌肉组织被破坏并含有大量的细菌.4种细菌代谢产物的不同组分表现出对斑马贝不同的致死效果,在所研究的3种不同Mr组分中(Mr<5×103,5×103～10×103及>10×103),>10 ×103组分具有最高致死率.这些结果为控制贝类无脊椎动物的生物污损提供了新方法. 图4 参24     

生物处理过程中活性污泥对氯代芳香化合物吸附性能的研究

本文研究了邻二氯苯 和邻氯酚生物处理过程中在活性污泥上的吸附特性及影响因素。通过测定等温吸附曲线,表明这两种有机化合物在活性污泥上的吸附符合线性吸附等温式：属于在疏水键力作用下的表面物理吸附,对难溶于水的邻二氯苯具有较强的吸附能力。     

专家系统在废水生物处理操作和控制中的应用

本文介绍了国外近二十年来专家系统在废水生物处理工艺控制领域的应用及开发的典型系统,分析了废水生物处理工艺难于控制的原因、各类系统的结构和特点及目前废水处理专家系统的不足,探讨了废水生物处理专家系统今后应深入研究的问题及方向     

短程硝化—厌氧氨氧化组合工艺在脱氮领域的研究进展

基于全程硝化反硝化的传统生物脱氮工艺在硝化过程中需要大量氧气供应,反硝化过程需要有机物作为碳源,存在能耗与药耗过大的问题.为了降低废水脱氮的成本,短程硝化(PN)—厌氧氨氧化(ANAMMOX)组合工艺(PNA工艺)得到了高速发展.综述了PNA工艺的影响因素,重点介绍了4种基于PN与ANAMMOX原理开发的衍生PNA工艺...     

粉状活性焦在双层滤料颗粒床中的脱硫试验研究

在双层滤料颗粒床模型试验台上对粒径为300～400目的粉状活性焦进行了脱硫试验,研究了温度、O2和水蒸气体积分数、气体流速、再生次数对脱硫效果的影响.试验结果表明.温度为120℃、O2体积分数为8%、水蒸气体积分数为10%条件下,脱硫效果最好;粉状活性焦在双层滤料颗粒床中经过7次重复吸附.达到硫饱和吸附量为66.2 mg/g.粉状活性焦再生试验表明,随着再生次数的增加.粉状活性焦的脱硫性能呈下降趋势.     

饮用水生物处理中微生物量和活性的测定方法

微生物量和微生物活性是饮用水生物处理工艺设计与运行的重要参数。总结论述了适用于表示饮用水生物处理过程生物膜中微生物数量和活性的几种主要指标的测定方法。