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     

超临界CO2回收线路板工艺研究

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我国中部地区大气CO2柱浓度时空分布

基于日本GOSAT及美国AIRS反演数据产品,对我国中部六省大气CO₂时空分布特征进行研究,结果表明：由GOSAT反演的中部地区2010~2013年大气CO₂年均柱浓度由389.36×10^-6增长到396.52×10^-6,年均绝对增长率达2.39×10^-6/a,呈现出冬春季高值、夏秋季低值的季节变化特征,其柱浓度年均值及去长期趋势后的月均值均略低于长三角地区,高于京津冀和东三省地区;其CO₂柱浓度高值区集中在湖南、江西及周边一带,年均绝对增长率为2.01×10^-6,其柱浓度年均值及去长期趋势后的月均值与长三角地区相当,略低于京津冀和东三省地区,由于受地面源汇影响较小,其与GOSAT反演结果相反,可能是由于AIRS反映了对流层中层大气状况,而GOSAT则更多地反映了近地面层大气CO₂变化.     

超临界二氧化碳萃取－GC／MS测定土壤中的多环芳烃

本文开发了一种采用超临界二氧化碳萃取土壤中多环芳烃、不须经过纯化步骤，直接可用于ＧＣ／ＭＳ分析的简便、高效的方法。本实验中超临界革取的流体是二氧化碳，改善剂是５％的二氯甲烷／甲醇，萃取温度为１２０℃、压力为３４ＭＰａ。ＧＣ／ＭＳ分析时除了采用外标外，还加入了６种同位素ＰＡＨｓ内标以校正各段ＰＡＨｓ的响应因子。采用本方法成功地测定了我国未开垦森林土壤中的ＰＡＨｓ。     

乌鲁木齐市汽车尾气污染状况调查

对乌鲁木齐市主要街道受汽车尾气污染的调查和综合分析得到CO、NOx、HC的污染规律,主要街道路中心空气中CO、NOx日均值已超出国家大气环境质量二级标准,市区主要街道的人行道空气中NOx含量已超出二级标准,Ⅱ、Ⅲ类道路人行道空气中CO含量已超标;在三类街道中,Ⅰ类街道车流量最大,Ⅱ类次之,Ⅲ类最少,而汽车排放尾气对街道空气污染状况为Ⅲ类最重、Ⅱ类次之、Ⅰ类最轻。     

关于我国一氧化碳室内空气质量评价标准的建议

人们大部分时间处于室内，室内空气质量直接影响人们的身体健康。当前，室内空气污染己成为社会关注的热点问题，一氧化碳(CO)含量高低是室内空气质量(IAQ)好坏的重要指示指标。本文通过分析一氧化碳(CO)的理化特性，来源，毒理学研究和流行病学研究结果，在参考世界卫生组织(WHO)或国外相关标准的基础上，结合我国的实际情况和目前污染水平，首次提出了我国一氧化碳(CO)室内空气质量三级标准建议值。     

治理催化超临界水氧化处理1,5-萘二磺酸

采用Mn2O3γAl2O3和V2O5γAl2O3为催化剂,在一连续流固定床反应器中进行了超临界水氧化1,5萘二磺酸实验。实验结果表明,在380～440℃,24MPa条件下,Mn2O3γAl2O3和V2O5γAl2O3催化剂对1,5萘二磺酸的氧化降解具有显著的促进作用,TOC去除率达到90%以上;催化剂的催化效果随反应温度的升高而增强,随pH值的降低而增强,随停留时间的延长先增强后趋于平缓。     

水中CO2现场快速测定方法研究

通过研制一种测试管，能简便、快速的测定水中的CO2。该测试管尤其适宜于现场即时监测。具有快速、简便、抗干扰能力强等特点。     

Au/ZnO催化剂的表征及常温常湿 条件下CO氧化性能研究

常温下考察了焙烧温度、金含量及水分对Au/ZnO催化剂上CO氧化性能的影响 ,并在常湿条件下考察了ZnO上CO氧化活性同温度的关系。结果表明 ,金的存在极大地提高了催化剂CO的氧化活性。另外焙烧温度和金含量对Au/ZnO催化剂的活性和稳定性均有较大影响 ,在常温常湿条件下 ,2 4 0℃焙烧的 2 %Au/ZnO催化剂 ,可连续反应 1 750h保持CO完全转化。XRD结果表明 ,锌的化学状态对催化剂的稳定性有较大的影响 ,氧化锌较碳酸锌表现出较高的稳定性。     

降低硫黄回收装置烟气CO排放浓度研究

介绍了造成中国石化齐鲁分公司硫黄回收装置烟气CO排放浓度高的原因,并制定了相应的改造方案。对装置目前可实施的运行参数进行了优化调整,个别装置CO排放可达100 mg/m 3以下,其他装置等待检修时改造实施。