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     

炭纤维载体固定床厌氧发酵启动运行效果实验

以开发高效率、抗冲击性能强的高浓度有机废水沼气发酵技术为目的,用传统的 UASB反应器作为对照,研究了以炭纤维为生物膜载体的固定床厌氧反应器的启动运行效果。反应器进口废水 COD 为 5 000 mg/L, 水力停留时间 (HRT) 由213 h 逐步缩短为35 h,进水有机容积负荷(OLR)由0.56 kg COD/ (m³·d)提到3.45 kg COD/(m³·d)。结果表明,固定床反应器厌氧发酵的效率比对照高,出水 pH 值也比对照稳定;运行到第 50 d 时,固定床厌氧反应器和对照的 COD去除率分别由第 7 d 的36.56%和33.58%上升到87.9%和62.6%;固定床厌氧反应器的容积比产气率最高为1.16 m³/(m³·d),累计产气量为415.59 L,而对照的容积比产气率最高值仅为0.31 m³ /(m³·d),累计产气量为 71.66 L,前者最高容积比产气率和累计产气量分别是后者的3.74倍和5.78倍。固定床厌氧反应器的启动速度、COD 去除率和产甲烷效率显著地高于对照反应器。     

Sorption of polar and nonpolar aromatic compounds to four surface soils of eastern China

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.     

青岛海洋环境碳纤维复合材料与低合金钢电偶腐蚀研究

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。     

活性碳纤维改性技术研究进展

介绍了活性碳纤维(ACF)的孔结构及表面官能团,综述了国内外ACF改性技术的研究现状.ACF的改性主要包括孔结构调控和表面化学改性,表面化学改性包括氧化还原法、表面负载法、浸渍法、热处理法、远程等离子体处理法、微波辐照法等,也可将多种方法结合来对ACF进行改性,以改善和提高ACF的吸附性能.在总结现有研究的基础上,对ACF改性技术发展趋势进行了展望.     

黑碳吸附亚甲基蓝染料废水的行为研究

文章研究了黑碳吸附亚甲基蓝的动力学和热力学特性,探讨了温度、初始浓度、溶液pH值及转速等因素对吸附过程的影响。结果表明,吸附过程符合二级动力吸附方程,颗粒内扩散过程是影响吸附速率的主要控制步骤。用Freundlich方程能够更好地对吸附等温线进行拟合;吸附热力学研究表明:△H>0,说明吸附为吸热过程;△G<0,说明吸附质倾向于从溶液中吸附到吸附剂表面,反应过程是自发进行的;△S>0,说明固/液相界面上分子运动更为混乱。     

长期施肥对红壤稻田耕层土壤碳储量的影响

以红壤性稻田土壤为对象,研究了长期施肥（1990～2006年）对稻田表层土壤碳储量及固碳潜力的影响,讨论了耕层厚度变化对碳储量估算及处理间差异的影响.研究发现,与长期施用化肥相比,有机物的循环利用能显著提高红壤性稻田土壤碳储量,其碳储量为57.7～66.2 t/hm²,比试验前高出18.7～27.2 t/hm²,而长期施用化肥碳储量提高幅度平均为5.4 t/hm².红壤性稻田土壤饱和固碳量为84.0 t/hm²,与目前碳储量相比还有17.8～43.7 t/hm²的固碳潜力.研究证实,土壤碳储量与土壤容重和表层土壤厚度的变化密切相关,以20 cm或23 cm作为统计厚度估算表层土壤的碳储量将分别低估20.6％和11.3％,其中有机物施用处理碳储量低估幅度最大（分别为26.8％和18.9％）;另外,用相同统计厚度进行碳储量估算减小了不同施肥处理间的差异.从稻田土壤碳储量及固碳潜力来考虑,有机物配合化肥施用是红壤稻田较优的施肥方式.     

Partitioning of water soluble organic carbon in three sediment size fractions： Effect of the humic substances

Water soluble organic carbon (WSOC) in sediments plays an important role in transference and transformation of aquatic pollutants. This article investigated the inherent mechanisms of how sediemnt grain size affect the partitioning coeffcient (k) of WSOC. Influences of NaOH extracted humic substances were particularly focused on. Sediments were sampled from two cross-sections of the middle Yellow River and sieved into three size fractions (< 63 μm, 63-100 μm, and 100--300 μm). The total concentration of WSOC in sediments (CWSOC) and k were estimated using multiple water-sediment ratio experiments. Results show that CWSOC ranges from 0.012 to 0.022 mg/g, while k ranges from 0.8 to 3.9 L/kg. Correlations between the spectrum characteristics of NaOH extracted humic substances and k were analyzed. Strong positive correlations are determined between k and the aromaticity indicators of NaOH extracted humic substances in different sediment size fractions. Comparing with finer fractions (< 63 μm), k is higher in larger size fractions (63--100 and 100--300 μm) related to higher aromaticity degree of NaOH extracted humic substances mostly. While negative relationship between k and the area ratio of fourier transform infrared spectroscopy (FT-IR) at 3400 and 1430 cm-1 implied that the lowest k was related to the highest concentration of the acidic humic groups in particles < 63 μm. WSOC in finer fractions (< 63 μm) is likely to enter into pore water, which may further accelerate the transportation of aquatic contaminants from sediment to water.     

生物表面活性剂产生菌的分离鉴定及碳氮源优化

采集炼油厂内长期石油污染土壤,经富集培养、蓝色凝胶平板筛选和发酵液表面张力测定等方法,从油泥中筛选出产生物表面活性剂的土著微生物1株,命名为S2,并对其进行生理生化性能测定与产物特性及结构研究.结果表明,该菌鉴定为铜绿假单胞菌Pseudomonas aeruginosa,测定证明其发酵液表面张力稳定,最佳条件下发酵液表面张力可由75mN·m-1降至35mN·m-1,临界束胶浓度（CMC）值为0.25g·L-1,远远低于一般化学表面活性剂的CMC值.发酵液乳化性能优于对照的十二烷基磺酸钠(SDS)及十六烷基三甲基溴化铵(CTAB)等常用的化学表面活性剂.对培养基成分进行优化,选定的最佳碳源为菜油,最佳氮源为硝酸钠,优化培养条件后,产物最大产量达到了4.7g·L-1.     

脱硫脱硫弧菌转化二氧化硫气体的研究

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~-.