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     

粉煤灰分选工艺流程的改进

利用闲置设备进行流程改进，提高了粉煤灰的利用率，解决了制砖所需的细骨料。每年节省运灰费用２００多万元，具有良好的经济效益和环境效益     

加压活性炭生物膜法处理DSD有机废水

采用加压活性炭生物膜法处理以对硝基甲苯磺酸盐为主的难降解的有机废水的研究,是在活性炭生物膜法处理有机废水基础上发展起来的新技术。本实验结果表明,在加压9.8×10~4Pa(1kgt/cm~2)的条件下,COD_(Cr)去除率为62％～70％,比常压活性炭生物膜法高20％～25％;其容积负荷Nv=1.7～2.9kgCOD/m~3·d,比一般活性污泥法高3～6倍。     

Long-term nitrogen and phosphorus removal,shifts of functional bacteria and fate of resistance genes in bioretention systems under sulfamethoxazole stress

To understand the long-term performance of bioretention systems under sulfamethoxazole (SMX) stress, an unplanted bioretention system (BRS) and two modified BRSs with coconut-shell activated carbon (CAC) and CAC/zero-valent-iron (Fe0) granules (CAC-BRS and Fe/CAC-BRS) were established. Both CAC-BRS and Fe/CAC-BRS significantly outperformed BRS in removing total nitrogen (TN)(CAC-BRS:82.48%; Fe/CAC-BRS:78.08%; BRS:47.51%), total phosphorous (TP)(CAC-BRS:79.36%; Fe/CAC-BRS:98.26%; BRS:41.99%),and...     

苯乙烯废水活性炭吸附装置的评价及改进研究

对抚顺石化公司化工塑料厂苯乙烯废水活性炭吸附装置的预处理设施、活性炭吸附及再生性能进行了评价，分析了出水水质超标的主要原因，用混凝沉淀－砂滤流程改进了原处理工艺，使出水水质得到了显著改善。     

超声前处理强化活性炭吸附活性艳红X-3B染料废水

探究了超声前处理活性艳红X-3B染料废水强化活性炭吸附降解性能及不同超声参数的影响规律,包括超声功率和超声时间。研究结果表明,超声前处理活性艳红X-3B染料废水可通过空化效应使有机大分子裂解为小分子易于被活性炭吸附,同时可强化其到活性炭微孔中传输,提高了活性炭吸附降解性能,最佳超声功率为320 W。浓度越高,所需超声时间越长,当超声达到一定时间后,继续超声不会影响染料分子的吸附。超声前处理虽然不会改变吸附平衡时间,但可有效增加活性炭处理活性艳红X-3B染料废水的饱和吸附量。     

Effects of chemical modification on physicochemical properties and adsorption behavior of sludge-based activated carbon

This study aimed to explore the adsorption performance of sludge-based activated carbon (SBC) towards dissolved organic matters (DOMs) removal from sewage, and investigated the modification effect of different types of chemicals on the structure of synthesized SBC. Waste activated sludge (WAS) was used as a carbon source, and HCl, HNO₃, and NaOH were used as different types of chemicals to modify the SBC. With the aid of chemical activation, the modified SBC showed higher adsorption performances on DOMs removal with maximum adsorption of 29.05 mg/g and second-order constant (k) of 0.1367 (L/mol/sec) due to the surface elution of ash and minerals by chemicals. The surface elemental composition of MSBC suggested that the content of C-C and C-O functional groups on the surface of modified sludge-based activated carbon (MSBC) played an important role on the adsorption capacities of MSBC towards DOMs removal in sewage. Additionally, the residual molecular weight of DOMs in sewage was investigated using a 3-dimension fluorescence excitation-emission matrix (3D-EEM) and high-performance size exclusion chromatography (HP-SEC). Results showed that the chemical modification significantly improved the adsorption capacity of MSBC on humic acids (HA) and aromatic proteins (APN), and both of NaOH-MSBC and HCl-MSBC were effective for a wide range of different AMW DOMs removal from sewage, while the HNO₃-MSBC exhibited poorly on AMW organics of 2,617 Da and 409 Da due to the reducing content of macropore. In brief, this study provides reference values for the impact of the chemicals of the activation stage before the SBCs application.     

不同碳源对两株真菌纤维素酶合成的诱导和调控

定时测定B-6(Aspergillus sp.)、AS3.3711(Trichoderma sp.)在各类碳源中的纤维素酶活力，结果发现，酶的合成受培养基中碳源性质的调节控制。结构相对完整的纤维类物质（α-纤维素粉、微晶纤维素）诱导活性较高，电泳结果表明，纤维素酶系是协同表达的，但酶系各组分的百分比在不同的诱导条件下却各不相同。在测定糖耗与酶活力的关系中发现纤维二糖直接诱导B-6纤维素酶的合成，对AS3.3711则起了间接诱导作用，其经菌体代谢后的某种转化产物才是AS3.3711纤维素酶合成的真正诱导源。图6表1参14     

春玉米种植密度对土壤有机碳组分的影响

通过西辽河灌区连续3 a的田间试验,研究春玉米不同种植密度（60 000、75 000和90 000株·hm-2）下土壤有机碳组分的质量分数及空间分布特征,阐明了春玉米种植密度对不同层次土壤有机碳组分的影响机制。结果表明：高、低密度均增加土壤0～40 cm土层有机碳质量分数,中密度下促进土壤微生物生物量碳增加。随着种植密度的加大土壤中活性有机碳增加,轻组有机碳减少。玉米生长主要促进10～20 cm土层有机碳的耗损,高密度下促进犁底层（20～40 cm）土壤有机碳质量分数及其活性,使其轻组有机碳减少,微生物生物量碳增加。低密度下主要增加表层（0～10 cm）土壤有机碳质量分数。种植密度通过影响根系群体生物量及其分布,调节土壤微生物活性、残落物碳输入影响土壤有机碳组分。适当的增加春玉米种植密度有利于春玉米农田高产固碳。     

重庆市主城区春夏季不同粒径颗粒物污染特征分析

采用多通道采样器,采集重庆市主城区PM1.0、PM2.5和PM103种粒径的颗粒物样品,结果显示采样期间PM1.0、PM2.5和PM10日浓度均值分别为0.057 mg/m3、0.075 mg/m3和0.120 mg/m3,主城区颗粒物污染较为严重。对3种粒径颗粒物样品中的碳组分、水溶性组分以及无机污染元素组分进行分析...