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     

滤膜法测定空气中氟化物的改进

测定环境空气中微量氟的方法一般采用滤膜法，但此法工作量大，针对这种情况，本文作两点改进：一是将采集的两张滤膜同时测定；二是将测定过程中的搅拌时间缩短，这样不影响测定结果的准确性，而且降低了工作量。     

浅析分布式防火墙技术

随着计算机网络的不断发展,现有的防火墙体系已不能满足要求,发展新的网络防火墙技术已非常重要.分布式防火墙具有明显的防护优势,了解分布式防火墙技术,并在实际应Ζ用中用好它,已成为保障我们网络安全的必要.     

净化SO2的生物膜填料塔中微生物类群分析

对净化废气中SO2的生物膜填料塔内的微生物进行了分离纯化并做鉴定,得到一株嗜酸性氧化硫硫杆菌（Acidithiobacillus thiooxidans IEL001）和一株分类地位非常接近链二孢属（Bispora sp.）的极端嗜酸真菌IEL002,生物膜填料塔内的极端酸性环境和有机营养的缺乏导致生物膜上的微生物种类较为单一,多样性程度不高。本研究还发现IEL002自身并不能氧化单质硫,但它能促进Acidithiobacillus thiooxidans IEL001对单质硫的氧化。     

混合接种PN与PN/A颗粒污泥快速启动连续流自养生物脱氮反应器

在连续流条件下,快速培养亚硝化-厌氧氨氧化（PN/A）颗粒污泥是实现污水高效生物脱氮处理的关键技术. 与PN/A污泥相比,亚硝化（PN）颗粒污泥具有生长周期短、易于批量化培养的优点,并可作为富集厌氧氨氧化菌（AMX）的载体. 在3个完全混合流反应器（R1~R3）中,分别按照质量比3∶1、1∶1和1∶3混合接种PN/A和PN颗粒污泥,并通过设置高氨氮负荷、短水力停留时间和强水力剪切条件,成功启动了连续流自养生物脱氮工艺. 结果表明,尽管R3的启动时长较R1和R2更长,但污泥接种比并未显著影响连续流反应器在稳定状态下的脱氮性能,总氮去除负荷均可达到2.6 kg·（m³·d）^-1以上. 接种的PN颗粒污泥通过提供好氧氨氧化菌种（AOB）,为AMX生长供给了充足的亚硝态氮基质,充分发挥了培养PN/A颗粒污泥的前驱体作用. 由高通量测序结果可知,R1~R3中成熟颗粒的微生物丰度和多样性指数均明显高于接种污泥. AOB（Nitrosomonas属）和AMX（Candidatus Kuenenia和Brocadia属）与Chloroflexi、Bacteroidetes和Chlorobi等异养菌门是驱动自养生物脱氮和维持颗粒结构稳定的关键菌群. 总之,PN与PN/A颗粒污泥的混合接种是快速启动连续流自养脱氮工艺的可行策略,对工程应用具有指导意义.     

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.     

多孔硅酸钙滤料吸附床除磷试验研究

以多孔硅酸钙滤料为吸附载体处理含磷的二沉池出水.通过静态吸附试验和动态吸附试验,研究了滤料粒径及投加量、初始pH、反应时间、温度以及滤料填充高度对除磷效果的影响.在静态吸附试验中,取初始磷质量浓度为4.98 mg/L的含磷废水100 mL,当多孔硅酸钙滤料粒径为4～14目,投加量为1.0g,吸附时间为2.5h,温度为25℃,溶液初始pH为7.0～9.0时,磷的去除率可达95％以上,出水磷满足《城镇污水处理厂污染物排放标准》(GB 18918-2002)的一级A标准(≤0.5 mg/L).动态吸附试验表明,在长期运行条件下,多孔硅酸钙滤料吸附床能持续有效地去除污水中的磷,综合考虑吸附率和运行费用,选择水力停留时间为30 min,滤料填充高度为60 cm为宜.     

Non-Fickian dispersion in a single fracture

Solute transport in fractured rocks is of major interest in many applications, from the petroleum industry to ground water management. This work focuses on the dispersion process in a transparent replica of a real single fracture. The fracture exhibits strong changes in heterogeneity, with the first half very heterogeneous and the second half fairly homogeneous. Three models have been used to interpret the tracer experiments: the classical advection-dispersion equation (ADE), the continuous time random walk (CTRW), and the stratified model. The main goals were to test these models and to study possible correlations between fitting parameters and heterogeneities. As expected, the solution derived from the ADE equation appears to be unable to model long-time tailing behavior. On the other hand, the results confirm the CTRW robustness and the coefficient beta seems well correlated to heterogeneities. Finally, the stratified model is also able to describe non-Fickian dispersion. The parameters defined by this model are correlated to the heterogeneities of the fracture.     

基于遗传算法进行EMI滤波器电感的设计

通过电感的高频特性及其对共模插入损耗的影响分析,采用遗传算法和Ngspice仿真库设计出电感的选择方案,最后通过电路仿真和实验同时验证方案的有效性。该方案避免了对EMI滤波器高频段的复杂建模,降低了电感选择的难度,对电感元件的选择具有一定的指导意义。     

铁修饰的污泥生物炭对污泥脱水性能的改善效果

为改善城市污水处理厂污泥的脱水性能,采用铁修饰污泥生物炭作为助滤剂,与FeCl₃一起对污泥进行联合调理。以污泥净产率、污泥比阻和泥饼含水率评价污泥脱水性能;通过污泥Zeta电位、扫描电镜、EDS和泥饼可压缩性系数分析该方法的机理;同时,通过对污泥胞外聚合物、重金属以及总氯含量的分析,探究其调理污泥的环境风险,以明确该方法用于改善污泥脱水性能的可行性。结果表明,在500 ℃下制备的铁修饰污泥生物炭(30%)和FeCl₃(12.82%)联合调理时,污泥脱水的效果最佳;与仅用FeCl₃(12.82%)调理的污泥相比,污泥净产率升高了73.38%、污泥比阻降低了68.75%、泥饼含水率降低了9.03%。在较高温度下制备的铁修饰污泥生物炭,其孔隙结构更为发达、表面铁元素含量更高;与FeCl₃联合调理污泥时,更容易发生絮凝,从而使泥饼的渗透性能更好。而且,在联合调理的条件下,污泥中溶解型、松散结合型和紧密结合型胞外聚合物的含量均有所降低;污泥泥饼中重金属(Cd、Cr、Cu、Pb、Zn)更为稳定,泥饼热解固相产物和非固相产物中总氯含量降低,环境生态风险更小。采用铁修饰污泥生物炭作为助滤剂,可改善污泥脱水性能,并具有实际应用的潜力。