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     

Role of glycine on sulfuric acid-ammonia clusters formation: Transporter or participator

Glycine(Gly) is ubiquitous in the atmosphere and plays a vital role in new particle formation(NPF).However,the potential mechanism of its on sulfuric acid(SA)-ammonia(A)clusters formation under various atmospheric conditions is still ambiguous.Herein,a(Gly)_x·(SA)_y·(A)_z(z≤x+y≤3) multicomponent system was investigated by using density functional theory(DFT) combined with Atmospheric Cluster Dynamics Code(ACDC) at different temperatures and precursor concentrations.The results show that Gly,with one carboxyl(-COOH) and one amine(-NH_2) group,can interact strongly with SA and A in two directions through hydrogen bonds or proton transfer.Within the relevant range of atmospheric concentrations,Gly can enhance the formation rate of SA-A-based clusters,especially at low temperature,low [SA],and median [A].The enhancement(R) of Gly on NPF can be up to 340 at T=218.15 K,[SA]=10~4,[A]=10~9,and [Gly]=10~7 molecules/cm~3.In addition,the main growth paths of clusters show that Gly molecules participate into cluster formation in the initial stage and eventually leave the cluster by evaporation in subsequent cluster growth at low [Gly],it acts as an important "transporter" to connect the smaller and larger cluster.With the increase of [Gly],it acts as a "participator" directly participating in NPF.     

铁基质强化新型功能性化粪池高效处理黑水的试验

以铁基质生物载体为核心,将物理、生物和化学方法结合,对化粪池进行功能强化,实现黑水的原位深度处理.探究了溶解氧（DO）和碳氮比（C/N）等因素对黑水中污染物降解的影响,并在最佳运行参数下考察了氮素在系统中的转化机制.结果表明,当C/N为7.3~8.4时,好氧生物铁基质载体池DO为2.3~2.7mg/L时,系统氨氮（NH₄⁺-N）、总氮（TN） 、COD和总磷（TP）的平均去除率分别可达90.74%、85.81%、92.65%和95.78%;当进水C/N降至3.3~4.2时,系统NH₄⁺-N、TN、COD和TP的平均去除率仍可维持在81.16%、76.62%、93.87%和94.75%.铁基质生物载体内电解作用显著强化了化粪池内TN的脱除、COD的氧化和TP的固定.氮素转化机制分析表明,内电解与反硝化菌的耦合强化了反硝化作用,降低了反硝化过程对有机碳源的需求,强化了低C/N条件下TN、TP的脱除.     

储罐用钢在3.5%NaCl溶液中的腐蚀行为研究

目的对比研究三种油气储罐在水压试验时的腐蚀行为特征。方法选用9Ni钢、Q235碳钢、304L不锈钢储罐用材料以及3.5%NaCl模拟海水溶液,采用开路电位、电化学阻抗谱、动电位极化曲线测试方法研究三种储罐用钢在模拟海水中的电化学腐蚀特征,同时结合浸泡质量损失试验和微观腐蚀形貌进行分析。结果 9Ni钢、Q235碳钢、304L不锈钢稳定后的开路电位(vs.SCE)分别为-0.55、-0.64、-0.10m V,Rt值分别为2 792、1 765、125 100,平均腐蚀深度分别为0.070 6、0.160 3、0.002 5 mm/a。微观腐蚀形貌显示,9Ni钢和Q235碳钢表面发生明显的腐蚀,而304L不锈钢只发生轻微的点蚀。结论在3.5%NaCl模拟海水溶液中,304L不锈钢最耐腐蚀,Q235碳钢最易腐蚀,9Ni钢居于两者之间。因此在9Ni钢和Q235碳钢储罐海水试压过程中需要采取临时保护。     

龙岩市区大气颗粒物中多环芳烃的种类和时空分布特征及来源

采用恒能量同步荧光法检测了龙岩市大气颗粒物样品中的多环芳烃(PAHs),比较了龙岩市区大气颗粒物中多环芳烃含量的差异以及不同季节对多环芳烃含量的影响,讨论了其分布规律及污染源。     

大气污染物影响因素的灰色关联分析

运用灰色系统理论，对产生和影响城市大气主要污染物的相关因素，利用灰色关联分析方法进行了量化分析研究，根据研究结果，提出了控制大气污染的防治对策．     

利用脉冲澄清池补充处理生化后废水的运行结果和分析

通过对脉冲澄清池在综合废水处理中运行效果的跟踪分析,确定出利用脉冲澄清池补充处理生化后废水(悬浮物、COD_(cr)、BOD_5等)的影响程度,为其在综合废水处理工艺中的应用及其局限性,提供了必要的参考依据.     

同位素方法在大气甲烷研究中的应用

通过对大气甲烷研究的同位素方法理论基础及其研究进展的综述，概括介绍了现有的大气甲烷同位素研究方法和所取得的成果，讨论分析了在中国开展该项研究的意义和前景。     

平流式二次沉淀池中异重流现象研究

通过对影响异重流形成因素的研究,发现在异重流的形成过程中进水污泥浓度对密度的影响远大于温度对密度的影响,二沉池的进水通常形成下层异重流.利用水力模型进行示踪试验,结果表明在平流式二沉池中存在明显的回流区.异重流对二沉池处理效果的影响有利有弊.     

上海市雨水污染控制初探

水环境的严重污染和饮用水资源的匮乏，已对上海市的持续发展构成了直接和潜在威胁。在借鉴国外雨水处理利用的研究，应用成果，综合考虑上海市水环境，城市建设及经济发展现状和地区特点的基础上，对上海地区城市雨水污染及其特性，控制雨水污染措施等作了阐述。