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1.
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 相似文献
2.
Liu P Zhu D Zhang H Shi X Sun H Dang F 《Environmental pollution (Barking, Essex : 1987)》2008,156(3):1053-1060
Improved predictions on the fate of organic pollutants in surface environments require a better understanding of the underlying sorption mechanisms that control their uptake by soils. In this study, we monitored sorption of nine aromatic compounds with varying physicochemical properties (hydrophobicity, electron-donor/acceptor ability and polarity), including two polycyclic aromatic hydrocarbons, two chlorobenzenes, two nitroaromatic compounds, dichlobenil, carbaryl and 2,4-dichlorophenol in aqueous suspension of four surface soils of eastern China. The tested soils were characterized with respect to organic carbon (OC) content, black carbon content, mineralogy, morphology and size fraction to assess the role of the diverse soil characteristics in sorption. The results of this study show that not only the solute hydrophobicity and the OC content of soil are important to the retention of organic pollutants, but also the solute molecular structure and the soil nature. 相似文献
3.
目的 探究碳纤维复合材料在舰船应用时与金属材料的电偶腐蚀问题。方法 针对一种典型舰船用碳纤维增强乙烯基树脂复合材料,在青岛海洋大气环境下开展0.5、1、1.5、2 a期的自然曝晒试验,进而采用电化学分析手段考察其与低合金钢的电偶腐蚀效应,结合老化机制探究碳纤维复合材料的老化行为对其与钢电偶腐蚀的影响。结果及结论 在青岛大气环境曝晒不同周期的复合材料试样,开路电位与低合金钢相差较大,存在较高的电偶腐蚀倾向。随曝晒时间的延长,复合材料表面微裂纹不断产生、扩展,导致电化学反应活性点增多,两者电偶电流密度随之增大。在青岛海洋大气环境下暴露2 a后,碳纤维增强乙烯基树脂复合材料与低合金钢的电偶电流为0.356 9 μA/cm2,两者的电偶腐蚀敏感性达到B级。 相似文献
4.
脱硫脱硫弧菌转化二氧化硫气体的研究 总被引:1,自引:0,他引:1
运用连续处理工艺研究了SO_2进气摩尔流速和去除率的关系,并对主要转化产物硫化氢和硫化物进行了测定,研究了亚硫酸盐的积累情况及其对脱硫脱硫弧菌生长的影响,同时还对碳源的消耗及转化产物进行了定量研究.实验结果表明,随着SO_2流速的提高(4·975~20·149mmol·h~(-1))菌体对二氧化硫的去除率没有发生明显的变化,始终保持在93%以上,在SO2摩尔流速低于5·034mmol·h~(-1)时产物以硫化氢为主,而随着SO_2摩尔流速的提高,液相中硫化物和亚硫酸盐开始累积;当SO_2摩尔流速增大至20·149mmol·h~(-1)时,亚硫酸盐累积浓度达到74·23mg·L~(-1),该浓度对菌体生长不会产生抑制作用;系统在SO_2摩尔流速为14·063mmol·h~(-1)下运行时较为稳定,乳酸盐全部转化为乙酸盐,每还原1mmol SO_2消耗0·4mmol CH_3CHOHCOO~-. 相似文献
5.
中国经济增长对碳排放的影响分析 总被引:43,自引:1,他引:43
通过相关分析探讨了中国国内生产总值(GDP)的增长与碳排放量的关系.结果表明,二者有明显的相关性(R2=0.958 1).进一步研究认为,由于中国投资率在35%~40%以上,且工业增加值占GDP的比重超过50%,因此中国过分依赖投资的经济增长方式和以第二产业(工业)为主的经济结构在很大程度上是导致温室气体排放量增加的主要原因.未来在全球化背景下,经济增长可转变为更多地依靠科技创新、技术进步和制度的改进,因此,调整经济增长方式和产业结构,可以在保持发展经济的同时,使碳排放强度呈逐渐下降的趋势. 相似文献
6.
文章通过对内蒙古中西部地区沙生灌木的成分分析,基于生命周期法(LCA),定量论证了沙生灌木直燃发电开发模式对环境的影响和推广的可行性,指出相比石油等传统能源,这种模式具有较大的潜在效益,对于我国发展绿色替代能源,促进西部地区生态环境和经济协调发展具有一定的战略意义。 相似文献
7.
家用空调碳足迹及其关键影响因素分析 总被引:2,自引:0,他引:2
我国居民家庭空调拥有量迅速增加,其生命周期中产生的温室效应也日益受到关注.本文依据国际标准PAS 2050,采用RCEES 2012和Ecoinvent 2.1数据库,并运用SimaPro 7.1软件计算了中国典型家用空调的碳足迹.主要结论为:家用空调生命周期中使用阶段用电产生的碳足迹最大,占67%;制冷剂的泄漏是除电力使用外第二大碳足迹贡献因素,产生了23%的碳足迹;生产制造阶段和废物处理阶段的碳足迹分别占16%和-6%.敏感性分析表明,空调日使用时间、空调年使用季节和制冷剂的泄漏比例是家用空调碳足迹的关键影响因素. 相似文献
8.
源水水质的恶化给传统的饮用水处理工艺带来了挑战.生物过滤是饮用水消毒输配之前管理、维护及增强颗粒滤料表面生物活性以去除有机和无机物的过程.由于具有高效、低成本等优点,生物过滤在饮用水深度处理工艺中逐渐得到广泛的应用.本文综述了生物过滤在饮用水处理过程中对水中溶解性有机质(消毒副产物前体物)的去除、微量污染物的削减、嗅味化合物及氨氮的去除等.此外,针对生物过滤在水深度处理过程中存在的问题,本文详细讨论了含氮消毒副产物前体物的生成、低温下生物过滤效能下降等挑战,并提出了今后需要研究的问题. 相似文献
9.
排水造林对小兴安岭湿地土壤溶解性有机碳生物降解和淋溶的影响 总被引:1,自引:0,他引:1
以小兴安岭湿地为研究对象,分析了不同年代排水造林的森林沼泽湿地土壤溶解性有机碳(DOC)含量变化及生物降解特征,探讨了排水造林时间对土壤DOC及无机氮(NH+4-N+NO-3-N)淋溶动态变化的影响.结果表明:1排水造林时间对土壤DOC含量变化影响显著(p0.05).2003年(PS03)、1992年(PS92)、1985年(PS85)排水造林后的人工兴安落叶松湿地土壤DOC含量均低于未排水造林的天然兴安落叶松苔草湿地(XATC),且排水造林时间越长,土壤DOC含量越少.2在生物降解过程中,土壤DOC的变化趋势表现为初期降解速率较快,而后逐渐减慢并趋于稳定.其中周转时间为1 d的易降解DOC所占比重表现为:PS92XATCPS03PS85,表明排水时间达到一定阈值后,易降解DOC部分可能会转化为难降解部分.3在淋溶过程中,随着淋溶次数的增加,淋出液中DOC含量呈现为先增加后减小的趋势,淋溶1 d后,不同年代排水造林的森林沼泽湿地土壤DOC的淋失率表现为:PS85PS92PS03XATC,表明排水造林时间越长,土壤DOC淋失率越大,因此长时间的排水造林改造可能进一步影响土壤养分的贮量及其有效性. 相似文献
10.
发展节能与新能源汽车是降低交通运输行业碳排放的重要技术路径.为量化预测节能与新能源汽车的全生命周期碳排放,利用全生命周期评价方法,以汽车相关技术路线和政策为参考,选取燃油经济性、整车轻量化水平、电力结构碳排放因子和氢能碳排放因子为关键参数,构建传统燃油汽车(ICEV)、轻度混合动力汽车(MHEV)、重度混合动力汽车(HEV)、纯电动汽车(BEV)和燃料电池汽车(FCV)的数据清单并对其全生命周期碳排放进行量化预测评价,对电力结构碳排放因子和不同制氢方式碳排放因子进行了敏感性分析和讨论.结果发现,2022年ICEV、 MHEV、 HEV、 BEV和FCV的全生命周期碳排放量(以CO2-eq计)分别为208.0、 195.5、 150.0、 113.5和205.0 g·km-1.到2035年,BEV和FCV相比于ICEV具有较为显著的减碳效益,分别降低69.1%和49.3%.电力结构的碳排放因子对BEV的全生命周期碳排放的影响最显著.关于燃料电池汽车的不同制氢方式,短期应以工业副产氢提纯为主供应FCV氢能需求,长期以可再生能源电解水制氢和化石能源... 相似文献