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     

Effect of particle size on CO adsorption and thermodynamic analysis

The liquid nitrogen adsorption method was used to characterize the pore structure of non-cohesive coal in the 061,404 working face of the Lingxin coal mine. The amount of specific surface area of micropores in the sample continuously rose as particle sizes reduced. The volumetric method was used to measure the CO isothermal adsorption curves of three samples (sample I, 0.425–0.25 mm, sample II, 0.18–0.25 mm, and sample III, 0.15–0.18 mm). The experimental results were fitted by the Langmuir model. According to the experimental results, it was conducive to CO adsorption with the conditions of high pressure and low-temperature. The decrease in grain diameter increased the number and volume of micropores in the sample, which improved the adsorption capacity of the sample. In addition, according to the adsorption data, the CO adsorption thermodynamics of three samples were analyzed, including surface potential (Ω), Gibbs free energy change (ΔG) and entropy change (ΔS). The results demonstrated that CO adsorption by coal was a spontaneous process. Sample III has the most substantial adsorption capacity, whereas the sample I has the weakest adsorption capacity.     

Mn-Cu-O负载型催化剂上CO氧化性能的研究

研究了ＺｒＯ２或Ａｌ２Ｏ３负载Ｍｎ－Ｃｕ－Ｏ体系催化剂ＣＯ催化氧化活性，以及物相结构，表面氧性能与活性的关系。结果表明，锆基催化剂的氧化活性明显优于铝基催化剂，起燃温度Ｔ５０低达５０℃，ＺｒＯ２载 利于活性组份形成高活性物相，并促进表面吸附氧的脱附，表现出催化剂表面吸附氧的脱附温度高低次序与其氧化活性有一致的对应关系。     

CO2浓度增加对作物影响的研究动态

大气CO2浓度不断增加将以两种方式影响作物的代谢、生长发育和产量的形成：一是通过温室效应“加热”气候,改变降水类型,进而影响作物;二是浓度变化本身对作物生理过程的影响。介绍了国内外近年来在与CO2浓度有关的作物生理实验方面取得的进展及其主要结果。     

中国旅游业CO_2排放区域差异的空间分析

在旅游业节能减排形势严峻的背景下,深入研究中国旅游业CO_2排放问题,制定科学的区域节能减排政策已刻不容缓。本文首先运用"自下而上"法,估算了1993-2012年中国整体旅游业、旅游业各分部门、大陆各省区(不含西藏)旅游业CO_2排放量。在此基础上,对全国及三大地带旅游业CO_2排放的总体特征进行分析;利用Theil指数法分析了中国旅游业CO_2排放强度的区域差异、区域内差异和区域间差异;运用AreView软件对中国旅游业CO_2排放强度的省际差异进行直观图示。分析结果显示:1993-2012年,中国旅游业CO_2排放量从1 480.868×10~4t升至6 274.129×10~4t;全国及三大地带旅游业CO_2排放强度整体上呈现出先显著下降、再缓慢梯度下降的趋势;中国旅游业CO_2排放强度空间分布不均匀,东部地区旅游业CO_2排放强度低于中部和西部地区;中国旅游业CO_2排放强度的区域总体差异、区域间差异和区域内差异整体呈逐渐缩小的趋势,区域间差异对总体差异的贡献率为94%-98%,区域间差异占主导地位;中国旅游业CO_2排放强度省际差异明显,属于旅游业CO_2排放强度弱显著区的省区基本位于东部沿海地区,河北、湖南、河南、广西、甘肃和新疆等省区频繁出现在旅游业CO_2排放强度强显著区之列,因此上述省区应是中国旅游业CO_2未来节能减排的区域重点。据此提出差别化的CO_2减排对策:东部地区应通过技术改进和调整产业结构、能源消费结构来降低CO_2排放强度,并以此带动中部和西部地区旅游业节能减排;中部和西部地区应加强与东部地区合作,将提高能源使用率、降低CO_2排放强度作为旅游业减排工作的重点。     

基于室内PM2.5控制和节能的通风策略探讨

细颗粒物（PM2.5）随空调新风进入室内,和室内产生的PM2.5粒子一起作用,导致人体暴露在室内细颗粒物环境中。为保证室内空气品质,最大限度节约空调系统运行能耗,建立了室内PM2.5浓度与CO2体积分数双组分模型,提出了适用于某会议室不同室内外PM2.5源、不同人数以及不同天气状况下的最佳通风策略,利用Simulink对炎热天气室内有无PM2.5散发源、温和天气室内有无PM2.5散发源4种工况下的不同通风方式进行仿真对比。模拟结果表明：炎热天气存在最小新风量,该值由室内人数决定,过滤送风对控制室内PM2.5浓度效果最好;温和天气存在最大新风量,且该值与过滤器效率成正比;在所研究的情况下,温和天气节能潜力比炎热天气大。     

Characteristics of roadside air pollution in Korean metropolitan city (Daegu) over last 5 to 6 years: temporal variations, standard exceedances, and dependence on meteorological conditions

The present study performed a roadside data analysis to provide baseline data for exploring associations between environmental exposure to four gaseous pollutants and health effects on residents living near roadways. The yearly roadside concentrations of CO and SO₂ showed a well-defined decreasing trend, whereas those of NO₂ and O₃ exhibited the reverse trend. In most cases, the diurnal trends of the roadside concentrations were well-defined for all seasons, plus the daytime concentrations were higher than the nighttime concentrations. In contrast to the other target pollutants, the daytime O₃ concentrations observed at the roadside sites were lower than those observed at the residential site, likely due to high-levels of fresh NO from traffic emissions that rapidly react with O₃, thereby reducing the O₃ roadside level. The Sunday roadside concentrations of CO, NO₂, and SO₂ were similar to or somewhat lower than the weekday concentrations. Conversely, for O_3, the Sunday roadside concentrations were similar to or somewhat higher than the weekday concentrations. The higher O₃ concentrations on Sunday may be due to the reduced titration from a decrease in NO_x emissions under VOC-limited conditions (low VOC/NO_x conditions). The monthly averages of O₃ concentrations exhibited the reverse seasonal variation to the other target compounds, with peak O₃ concentrations between April and June, and the second peak between August and October. It is also suggested that for O₃, the 8-h standard is more stringent than the 1-h standard, while for NO₂ and SO₂, the 1-h standard is more stringent than the 24-h standard. The multiple regression equations obtained from the relationship between the concentrations and five meteorological parameters indicated that the number and type of meteorological variables in the equations varied according to the pollutant, monitoring station, or season.     

粉煤灰、电石渣及其配合物碳酸化特性

为了促进粉煤灰和电石渣建材化高效利用和协同矿化CO2减排,研究了粉煤灰、电石渣及其配合物的碳酸化特性。实验采用pH在线测试方法分别对粉煤灰、电石渣以及两者配合物的碳酸化过程的pH进行在线测试,并对原料和产物进行XRD、TGA和SEM表征。结果表明：相同条件下,粉煤灰碳酸化浆液pH降到7.0的平均速度约为电石渣的51倍;与等量电石渣单独碳酸化相比,粉煤灰与电石渣按照4:1（质量比）复配碳酸化pH降低到7.0的速度较纯电石渣提高了近5.6倍,且在相同电石渣配量的条件下,粉煤灰-电石渣复配料比碳酸钙-电石渣复配料的碳酸化反应完成时间缩短了31.6%,说明电石渣与粉煤灰复配后进行碳酸化反应具有明显协同促进作用。TGA分析表明,纯粉煤灰和纯电石渣的固碳率分别约为2%和61.3%,粉煤灰与电石渣复配料的固碳率较等量单一电石渣和粉煤灰的固碳率之和的计算值提高了19.6%。SEM分析表明,粉煤灰与电石渣复配料碳酸化产物碳酸钙颗粒在粉煤灰表面呈现异位分散附着形态,而单一电石渣碳酸化产物碳酸钙则在电石渣颗粒表面呈现原位聚集附着形态。这可能是复配料固碳率提高的主要原因。     

温度对离子液体支撑膜捕集CO2的影响

传统CO2的捕集方法存在设备投资大、环境污染严重、再生能耗高等缺点,利用新型绿色工质离子液体负载于聚偏氟乙烯上制备离子液体支撑膜可以较好地解决该问题。在压力为0.2 MPa、流量为50 mL·min-1、温度在298~318 K范围内变化时,测定了CO2在1-乙基-3甲基咪唑双三氟磺酰亚胺盐（[Emim][Tf2N]）和1-乙基-3-甲基咪唑醋酸盐（[Emim][AC]）2种离子液体支撑膜中的渗透系数、溶解度和扩散系数,采用Van’t Hoff方程对溶解度数据进行关联、Arrhenius方程对渗透和扩散系数的数据进行关联。实验结果表明,CO2在2种离子液体支撑膜中的渗透和扩散系数随着温度的升高而增大,溶解度随着温度的升高而降低。[Emim][Tf2N]离子液体支撑膜对CO2的捕集性能优于[Emim][AC]支撑膜,CO2在[Emim][Tf2N]支撑膜中的溶解度最大值为0.447,在[Emim][AC]离子液体支撑膜中的最大溶解度为0.253,由此可确定离子液体支撑膜分离CO2的最佳工作温度,为其在工业应用中奠定良好的基础。     

以废塑料为基材的大孔型离子交换树脂的制备、表征和吸附性能

以废旧电视机外壳(WTVS)为原料,通过磺化反应和溶胀-渗透方法来制备大孔型离子交换树脂(SM-D001),并将其作为CO₂吸附材料的载体,采用N₂吸附-脱附、傅里叶变换红外光谱(FT-IR)、热重分析(TGA)、扫描电镜(SEM)、压汞法等手段对大孔型离子交换树脂(SM-D001)进行表征。考察了不同正庚烷的量、不同乙醇/水质量比和不同致孔时间下制备的SM-D001对CO₂吸附能力的影响。结果表明,当致孔剂正庚烷的量为25 g,乙醇/水质量比为90∶10,致孔时间为5 h时,制备的离子交换树脂对CO₂的平衡吸附量达到1.87 mmol·g⁻¹。以SM-D001为载体,五乙烯六胺(PEHA)为改性剂,采用配位法制备的固态胺吸附剂对CO₂的吸附能力达到3.61 mmol·g⁻¹,并对其进行吸附动力学研究。上述研究结果为进一步证明固态胺吸附剂对CO₂吸附过程是物理吸附和化学吸附共同作用的结论提供参考。