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     

The Impact of Agriculture On Dissolved Nitrogen and Phosphorus Cycling in Temperate Ecosystems

Although most research has focussed on inorganic nutrient forms of nitrate (NO^-₃) and phosphorus (PO³₄) in runoff and receiving waters, nitrogen loss from agricultural land can also occur in organic and ammonium-nitrogen form; phosphorus losses, although often dominated by particulate transport, may occur in soluble organic and inorganic form. Furthermore, fluxes between different species may take place during transport from the land to the stream and as a result of in-stream, in-river or in-lake transformations. Knowledge of the spatial and temporal variation in all nitrogen species and phosphorus fractions in a drainage basin is therefore essential if the wider environmental significance of elevated nutrient concentrations in natural waters are to be assessed. This paper reviews recent work on N and P losses from agricultural land and presents some results from two intensive agricultural catchments: Slapton, Devon and the river Windrush catchment in the Cotswolds.     

降水空间异质性对非点源关键源区识别面积变化的影响

针对地形起伏和降水空间差异较大的农业区非点源污染问题,基于SWAT模型评估了阿什河流域在异质性降水和均匀降水两种情景下总氮、总磷关键源区空间变化规律,统计了两种情景下识别的关键源区面积变化,并分析其与降水特征参数的关系.结果表明,降水量一定时,两种情景下识别的总氮、总磷关键源区面积变化趋势大致相同,且总磷关键源区面积不易受降水空间异质性的影响,但总氮关键源区面积却明显受到其影响.对各年份总氮和总磷关键源区面积与降水特征参数的相关分析表明,总磷关键源区面积与当年降水量呈显著正相关,而总氮关键源区面积却与前一年降水量呈显著正相关.研究结果对进一步探讨降水这一重要驱动因子的不确定性对非点源污染关键源区的影响,以及农业非点源污染的治理具有重要意义.     

不同碳源模式下酵母菌PNY2013同步脱氮除磷的应用研究

针对首次分离得到的一株具有同步脱氮除磷新功能的热带假丝酵母（Candida tropicalis） PNY2013,通过生理及动力学特征,连续流运行操作及其在含糖类工业废水中的应用3个环节,探讨了不同碳源模式下PNY2013同步脱氮除磷的特性.结果表明：PNY2013以葡萄糖、乙醇及乙酸为唯一碳源时均生长良好,其最大比增长速率μ_max分别为0.1327、0.1252及0.1115 h^-1,其同步脱氮除磷率分别可达100%、80%、100%（NH₄⁺-N）及93%、95%、98%（PO₄^3--P）.3种碳源下PNY2013同步脱氮除磷的最佳条件基本接近为：温度30℃,pH=8.0,溶解氧0~2 mg·L^-1,C/N=200∶5左右.PNY2013同步脱氮除磷的长期连续运行条件下的实验进一步表明,以葡萄糖为碳源条件下,进水NH₄⁺-N及PO₄^3--P浓度分别达400及80 mg·L^-1时,两者去除率均接近100%.与这种超强能力相比,以乙醇及乙酸为碳源条件下,进水NH₄⁺-N及PO₄^3--P浓度分别达100及20 mg·L^-1时,两者的去除率也可达60%~80%（NH₄⁺-N）及40%（PO₄^3--P）,显示出相当的同步脱氮除磷能力.在以模拟制糖废水、淀粉加工废水、啤酒废水、味精废水这4种典型含糖工业废水为碳源条件下,除淀粉加工废水外PNY2013均能有效去除COD、NH₄⁺-N和PO₄^3--P,其中,制糖、啤酒、制药废水中的COD去除率分别可达40%、89%、96%,NH₄⁺-N去除率分别为85%、94%、76%,PO₄^3--P去除率均为90%.即使在40000 mg·L^-1（制糖）及12500 mg·L^-1（啤酒）的高COD条件下,PNY2013也均具有稳定的NH₄⁺-N和PO₄^3--P去除效果,显示出良好的同步脱氮除磷应用前景.     

黄海麻坑群沉积物磷的保存与转化及环境效应

基于对北黄海典型麻坑群海域某单位麻坑内部和外缘沉积物中不同赋存形态的磷、甲烷（CH₄）和硫化物等参数的分析,探讨了麻坑独特的环境中磷的转化与埋藏机制、沉积物-水体系磷的释放及对区域磷循环的影响.研究表明,沉积物中碎屑态磷（Det-P）是磷主要的赋存形态（>50%）,其次是有机磷（Org-P）、铁结合态磷（Fe-P）和自生态磷（Auth-P）,交换态磷（Exch-P）对总磷的贡献较小;麻坑内部与麻坑外缘处沉积物中溶解态活性磷（DRP）向水体的释放通量分别为2.84μmol/（cm²·a）和1.03μmol/（cm²·a）,对上层水体的贡献依次为19.6%和3.03%,是上层水体磷的重要来源.麻坑内外磷的埋藏速率与转化过程存在不同;研究区地下水的渗漏是磷的沉积速率和释放通量都普遍高的原因.北黄海麻坑区沉积物中磷的保存与转化还与浅层CH₄的逸出相关,潜在提高黄铁矿的生成速率.较高的沉积物-水界面磷通量必然对区域富营养化等生态环境问题产生深远影响,值得关注.     

红树林土壤解磷菌的分离鉴定及解磷特性

从罗源湾红树林根际土壤中分离解磷菌,筛选出洋葱伯克霍尔德菌（Burkholderia cepacia, NR 113645.1）和短小芽孢杆菌（Bacillus pumilus, NR 043242.1）,研究它们的解磷特性和动态解磷过程. HPLC结果表明, B. cepacia菌液上清中含葡萄糖酸、丙酮酸、乳酸、乙酸、丁二酸, 这些有机酸的产生导致磷酸盐溶解. B.pumilus菌液上清中仅检测到少量的葡萄糖酸, 因此该菌溶磷效果不佳. 在细菌动态溶磷过程中发现, 经B. cepacia菌处理的磷酸钙, 其X射线衍射（XRD）特征峰强度随时间的增长降低, 显微镜图像显示磷酸钙颗粒随时间增长变小, 甚至消失. 而经B.pumilus菌处理的结果表明, 在试验期间内磷酸钙峰强度和颗粒大小没有明显变化. 细菌产生有机酸是溶解磷酸盐的重要前提, 这是解决板结土壤中难溶性磷源转化为生物可利用磷源问题的关键.     

Role of glycine on sulfuric acid-ammonia clusters formation: Transporter or participator

Glycine(Gly) is ubiquitous in the atmosphere and plays a vital role in new particle formation(NPF).However,the potential mechanism of its on sulfuric acid(SA)-ammonia(A)clusters formation under various atmospheric conditions is still ambiguous.Herein,a(Gly)_x·(SA)_y·(A)_z(z≤x+y≤3) multicomponent system was investigated by using density functional theory(DFT) combined with Atmospheric Cluster Dynamics Code(ACDC) at different temperatures and precursor concentrations.The results show that Gly,with one carboxyl(-COOH) and one amine(-NH_2) group,can interact strongly with SA and A in two directions through hydrogen bonds or proton transfer.Within the relevant range of atmospheric concentrations,Gly can enhance the formation rate of SA-A-based clusters,especially at low temperature,low [SA],and median [A].The enhancement(R) of Gly on NPF can be up to 340 at T=218.15 K,[SA]=10~4,[A]=10~9,and [Gly]=10~7 molecules/cm~3.In addition,the main growth paths of clusters show that Gly molecules participate into cluster formation in the initial stage and eventually leave the cluster by evaporation in subsequent cluster growth at low [Gly],it acts as an important "transporter" to connect the smaller and larger cluster.With the increase of [Gly],it acts as a "participator" directly participating in NPF.     

底泥原位洗脱过程中氮磷含量与形态变化特征

随着城市化进程的不断推进,城市河流底泥中内源氮磷污染问题日益突出.为研究原位洗脱技术对污染底泥中氮、磷物质和成分的作用效果,以北京市凉水河作为研究对象,分别比较了现场试验洗脱与对照组0~30 cm分层底泥以及实验室模拟洗脱处理前后0~10 cm底泥中pH、E_h（氧化还原电位）、容重、含水率、OM（有机质）、TN、TP和氮、磷形态分布的变化特征.结果表明:①现场洗脱对0~5 cm厚度底泥的处理和模拟洗脱处理均对底泥中pH、E_h、含水率的改变以及其中TN、TP的去除效果表现显著,其中,现场试验洗脱组0~5 cm范围底泥中w（TN）、w（TP）分别较对照组降低了66.4%±17.4%、40.8%±24.4%,模拟洗脱处理对底泥中OM、TN、TP的去除率分别达70.1%±4.8%、66.8%±2.0%、43.1%±3.1%.②原位洗脱技术对底泥中TN的去除主要通过对PON（颗粒态有机氮）的去除来实现,现场和模拟试验过程中PON对TN去除的贡献率分别达55.0%和73.6%.③原位洗脱对底泥中TP的去除主要通过对Al-P（铝结合态磷）、OP（有机磷）的去除来实现,现场和模拟试验中Al-P、OP对TP去除的贡献率分别达37.0%、66.2%和31.3%、43.7%.研究显示,原位洗脱技术可有效去除城市河流底泥处理层中的氮磷物质,并以有机氮、磷物质的去除为主.      

长江流域水生态环境安全主要问题、形势与对策

为进一步深化长江流域水生态环境保护的系统性、整体性科学认识,围绕长江水生态环境安全的主要问题及形势进行了剖析,提出了进一步加强长江流域水生态环境安全保障的对策建议.研究表明:在水环境质量方面,磷污染成为制约水质改善的主要影响因素,农业源排放量占比高,但工业源入河对水体的影响更直接,水库群运行带来的水沙条件变化对磷污染沿程演变有明显影响;在水生态健康方面,长江水生生物资源衰退、湖库富营养化格局发生改变、湿地生态功能退化问题突出;在水环境风险方面,化工围江、航运污染风险引起广泛关注.当前长江流域面临着源头区水资源战略储备减少、区域经济发展与生态环境保护双重压力仍较大、水环境质量仍存问题隐患、水生态系统退化态势未得到根本遏制等复杂且严峻的形势,未来长江水生态环境安全保障仍有诸多挑战.建议统筹长江全流域“一盘棋”,推进区域绿色协调发展,强化磷污染点面源综合管控,着力提升水生态健康水平,同时加快水环境风险隐患排查整治,强化科技创新有效供给.      

镧铝改性凹凸棒粘土对富营养化湖泊有机磷控制效果

通过吸附与原位模拟实验,研究了镧铝改性凹凸棒粘土（La/Al@ACP）对水体有机磷的吸附性能及其覆盖对沉积物磷释放的影响,并通过沉积物磷分级、DGT技术、扫描电镜能谱技术探讨材料覆盖对沉积物磷形态影响机制.结果显示,La/Al@ACP添加后,上覆水及底泥间隙水中磷含量显著下降,并伴随沉积物有效磷通量的减少.有机磷形态分析表明,添加La/Al@ACP后活性态的Lab-P_o不断向稳定态的Hum-P_o转化,有效控制了底泥磷向上覆水释放的风险.La/Al@ACP作为一种控制湖泊富营养化的有效材料,可用于底泥内源磷的固定与控制.