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     

Life cycle energy impacts of automotive liftgate inner

This paper compares the life cycle energy use of a cast-aluminum, rear liftgate inner and a conventional, stamped steel liftgate inner used in a minivan. Using the best available aggregate life cycle inventory data and a simple spreadsheet-level analysis, energy comparisons were made at both the single-vehicle and vehicle-fleet levels. Since the product manufacture and use are distributed over long periods of time that, in a fleet, are not simple linear combinations of single product life cycles. Thus, it is all the products in use over a period of time, rather than a single product, that are more appropriate for the life cycle analysis. Using a set of consistent data, analyses also examine sensitivity to the level of analysis and the assumptions to determine the most favorable materials with respect to life cycle energy benefits.As expected, life cycle energy impacts of aluminum are lower than steel at a single-vehicle level – energy savings are determined to be 1.8 GJ/vehicle. Most energy savings occur at the vehicle operation phase due to improved fuel economy from lightweighting. The energy benefits are realized only very close to the average vehicle life of 14 years. With the incremental growth of the vehicle fleet, it takes longer – about 21 years – for aluminum to achieve life cycle equivalence with steel. The number of years aluminum needs to achieve equivalence with steel was found to be quite sensitive to aluminum manufacturing energy and fuel economy. As the steel industry races to compete with other materials for automotive lightweighting, a systems approach, instead of part-to-part comparison, is more appropriate in the determination of viability of aluminum substitution from an energy perspective.     

丹江口水库浮游细菌和氮磷循环基因垂直分布特征及其驱动因素

丹江口水库作为南水北调中线工程水源地,不同深度浮游细菌群落组成、 氮磷循环功能及其驱动因素尚未清晰. 选取丹江口水库5个生态点位,采用宏基因组学研究表层、 中层和底层垂直分布浮游细菌群落组成,分析预测氮磷循环功能及其驱动因素. 结果表明,丹江口水库主要由变形菌门、 放线菌门和浮霉菌门等优势种群组成,不同深度来源的浮游细菌群落结构具有显著差异,水温（T）、 氧化还原电位（ORP）、 溶解氧（DO）和Chla是影响浮游细菌群落组成的主要因素. 氮循环功能基因分析表明,主要涉及生物固氮过程、 硝化作用、 反硝化作用和异化硝酸盐还原作用等7个主要途径的gltB、 glnA、 gltD、 gdhA和NRT等39个氮循环功能基因. 磷循环功能基因分析表明,主要涉及有机磷矿化、 无机磷溶解、 调节等6个主要途径的pstS、 ppx-gppA、 glpQ和ppk1等54个磷循环功能基因. 聚类分析表明不同深度是影响氮磷循环功能基因组成和丰度的主要因素,表层和底层氮磷循环功能基因丰度高于中层样品. 奇异球菌属、 嗜氢菌属、 Limnohabitans和棍状杆菌属等是氮磷循环的关键物种. DO、 pH、 T、 总溶解性固体（TDS）、 电导率（EC）和Chla与氮磷循环功能基因显著相关,以上环境因子随丹江口水库深度增加浓度降低或升高,导致浮游细菌氮磷循环功能基因呈明显的垂直分布特征. 通过揭示丹江口水库不同深度浮游细菌群落组成、 氮磷循环功能及其影响因素,可为丹江口浮游细菌生态功能和多样性保护发挥潜在的作用.     

农业生态系统的氮素循环研究进展

在自然和人为作用的双重驱动下,地球表面氮素的生物地球化学过程及其环境效应成为当前全球变化中区域研究的重要内容。探讨了氮素循环各个过程及其数量特征,对氮素循环模型进行了介绍,并对当前生态系统中氮素循环的研究热点进行了简要的论述。     

电子产品野外环境下温循加速载荷谱编制方法

目的 将电子产品在野外环境下日变化波动与季节差异明显的温度载荷编制成温循载荷谱和转换为加速载荷谱。方法 通过四点雨流计数法提取原谱中的载荷循环信息,对提取的循环信息进行分布拟合、相关性检验等统计分析,进而构建循环均值与范围值的联合概率密度函数,再运用概率密度法,编制出8×8二维环境载荷谱。在二维载荷谱基础上,编制出温循载荷谱,使用针对电子部件参数修正的加速方程转化为加速载荷谱。结果 利用野外作业现场1个作业周期内的气温纪录,提供了一套编制温循载荷谱和转换加速载荷谱的合理化流程和解决方案。结论 该制谱方法可以利用原始环境谱中绝大部分有效信息,较好地还原电子部件野外作业阶段经历的温度变化过程,为电子产品的加速寿命试验和使用寿命预测奠定基础。     

兰州大石鸡不同生活史阶段栖息地选择的初步研究

大石鸡不同生活史阶段选择不同的栖息地．集群期选择坡度小、低海拔、东向的山坡和坟地．配对期选择坡度３０～６０°、海拔居中的栖息地,选择的栖息地范围较宽．产卵期多见于坡度小、地面环境异质性小、海拔高的农田和山坡．育雏期选择植物丛密度低、坡度小、海拔高的山坡和农田．繁殖后期选择植物丛密度低、低海拔、东向的山坡和沟底．不同生活史阶段植被覆盖度、植物高度、环境类型和坡向差异不显著,坡度差异显著,植物丛密度、海拔高度和地面环境异质性差异极显著．在各环境因子中,只有地面环境异质性对大石鸡栖息地选择的影响较显著．地形、食物和气候可能是影响大石鸡栖息地选择的根本因素．     

冻融影响下不同岩性岩石物理力学特性试验研究*

为探究冻融循环影响下不同岩性岩石的物理力学性质的差异化响应,对青砂岩、灰砂岩2种砂岩,白色大理岩、麻粒岩2种变质岩开展冻融循环试验和相关力学试验。研究结果表明:在冻融循环过程中,2种砂岩的质量变化幅度明显高于2种变质岩。相较于青砂岩与麻粒岩,大理岩的单轴压缩强度及弹性模量劣化速率最快。冻融前后青砂岩、大理岩的单轴压缩破坏模式发生明显变化。灰砂岩抗拉强度劣化速率显著低于青砂岩。基于单轴抗压强度、抗拉强度的脆性指数表明冻融作用提高青砂岩的脆性。研究结果可为冻融影响下工程岩体的稳定性与安全性评价提供参考。     

Diurnal and spatial variations of soil NOx fluxes in the northern steppe of China

NO_x emissions from biogenic sources in soils play a significant role in the gaseous loss of soil nitrogen and consequent changes in tropospheric chemistry. In order to investigate the characteristics of NO_x fluxes and factors influencing these fluxes in degraded sandy grasslands in northern China, diurnal and spatial variations of NO_x fluxes were measured in situ. A dynamic flux chamber method was used at eight sites with various vegetation coverages and soil types in the northern steppe of China in the summer season of 2010. Fluxes of NO_x from soils with plant covers were generally higher than those in the corresponding bare vegetation-free soils, indicating that the canopy plays an important role in the exchange of NO_x between soil and air. The fluxes of NO_x increased in the daytime, and decreased during the nighttime, with peak emissions occurring between 12:00 and 14:00. The results of multiple linear regression analysis indicated that the diurnal variation of NO_x fluxes was positively correlated with soil temperature (P < 0.05) and negatively with soil moisture content (P < 0.05). Based on measurement over a season, the overall variation in NO_x flux was lower than that of soil nitrogen contents, suggesting that the gaseous loss of N fromthe grasslands of northern China was not a significant contributor to the high C/N in the northern steppe of China. The concentration of NO_x emitted from soils in the region did not exceed the 1-hr National Ambient Air Quality Standard (0.25 mg/m³).     

家用空调碳足迹及其关键影响因素分析

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.     

北京市大气细颗粒物对Balb/c 3T3细胞周期的影响

研究了北京市大气细颗粒物有机提取物 (EOC)对Balb c 3T3细胞周期及调节因子的影响 .实验发现 116 μg mL细颗粒物EOC即有明显的细胞毒性 ,抑制细胞生长 ,并存在剂量 反应关系 ,IC50 为 4 0 2 2 μg mL ;流式细胞仪分析显示 136 6 μg mLPM2 5EOC可造成细胞周期改变 ,G0 G1期、G2 M期细胞分布增加 ,分别为 16 2 4 % (P <0 0 1)与 3 17% (P <0 0 5 ) ,S期细胞分布减少 2 0 4 % (P <0 0 1) ,并伴有P5 3含量的增加 ;4 0 9 8、4 78 1μg mL的PM2 5EOC可诱导Balb c3T3细胞凋亡 .提示PM2 5有机提取物可能通过P5 3途径引起Balb c 3T3细胞周期阻滞 ,并诱导细胞凋亡 .