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 Role of Foreign Direct Investment in Urban Environmental Management: Some Evidence from Hanoi, Vietnam

In recent years flows of foreign direct investment (FDI) to developing countries have rapidly been increasing. It is now an important contributor to the national economy and urban growth in scores of developing countries. Rapid urbanization in these countries is leading to many problems in the cities. Existing urban infrastructure and municipal services have been unable to cope with the increased demand arising from growing population and rapid economic growth. Consequently, the environment in these cities has deteriorated alarmingly. This paper assesses the role of FDI in urban environmental management (UEM) by analyzing the linkages between them for Hanoi City in Vietnam. The paper's analysis and findings are presented under three main themes: one, FDI, employment and income; two, FDI and environmental degradation; and three, potential of utilizing FDI for the provision of urban environmental infrastructure and services (UEI&S) in order to improve the urban environment. Both primary and secondary source data have been used. Policy implications of the research findings are drawn from the perspective of sustainable development.     

城市游憩空间结构优化研究——以大连市为例

鉴于我国城市化的快速发展．城市居民游憩需求与供给的矛盾日益突出。本文选择城市游憩空间结构作为研究对象．综合分析现有的城市游憩空间结构和典型游憩功能区的研究成果，探讨了城市游憩需求的空间结构特征、游憩供给的空间结构特征．分析了城市游憩需求和供给空间结构特征的形成因素,提出理想的城市游憩空间结构模式。通过调研大连市主城区游憩场所的分布情况、使用情况以及大连城市游憩者的游憩需求特征,分析了大连市游憩供给和需求之间的矛盾及城市游憩空间的等级结构和整体结构。     

Migration Pathways and Remediation of Urban Runoff for PAH Control

The migration pathways for polyaromatic hydrocarbons (PAH) and the associated active attenuating mechanisms within the urban environment are examined. The interest in developing an improved understanding of PAH migration/attenuation is focused toward quantification of the cost-effectiveness of urban runoff control strategies for mitigation of PAH inputs to receiving water bodies.A case study application to the City of Sault Ste Marie demonstrates that snow removal from sub-basins with the largest deposition rates, and relatively small wet and/or dry stormwater management ponds, are the most cost-effective remediation strategies.     

蚯蚓对城镇污泥堆肥过程中微型动物群落演替的影响

采用实验对比和除趋势对应分析（DCA）等方法,以城镇污泥中的微型动物为对象,研究蚯蚓对堆肥过程微型动物群落演替的影响.结果表明,蚯蚓仅影响微型动物群落数量,对演替进程无明显影响.堆肥过程微型动物群落演替可分为3个阶段：第1阶段（0~10 d）,固着类纤毛虫为优势类群阶段,该阶段微型动物变化多受限于环境的改变,蚯蚓影响较小;第2阶段（10~30 d）,固着类纤毛虫和轮虫向肉足虫和线虫为优势类群的过渡阶段,该阶段蚯蚓对线虫数量有一定的限制;第3阶段（30 d后）,肉足虫和线虫为优势类群阶段,该阶段蚯蚓对有壳肉足虫的增长产生了明显的抑制作用.群落多样性指数结果显示,蚯蚓在第1和第2阶段作用不明显,在第3阶段增加了微型动物的多样性和均匀度,减小了优势物种的优势程度.对固着类纤毛虫的同化作用是蚯蚓稳定堆肥环境、促进有机质降解的重要因素.     

基于不同废污泥源的短程反硝化快速启动及稳定性

为探究不同废污泥源快速启动短程反硝化和实现稳定NO_2~--N积累的可行性,在3个完全相同的SBR反应器(S1、S2和S3)分别接种:实验室城市污水反硝化除磷系统排泥、城市污水厂剩余污泥及河涌底泥,比较其短程反硝化启动快慢和NO_2~--N积累特性,考察系统短程反硝化活性和NO_3~--N→NO_2~--N转化性能,并从微生物学角度分析反应器功能菌群特征.结果表明,在乙酸钠为唯一碳源、高碱度和适宜COD/NO_3~--N比进水条件下,3个SBR短程反硝化反应器在短时间内均能够成功启动,系统平均NO_3~--N→NO_2~--N转化率为S1 S2 S3(75. 92% 73. 36% 69. 90%).同时发现持续低温条件下S1和S2呈现不同程度的短程反硝化性能恶化趋势,但S3能够稳定维持良好NO_2~--N积累性能.微生物高通量测序表明,变形菌门和拟杆菌门居PD系统主导地位,3个短程反硝化反应器NO_2~--N积累关键功能菌属Thauera属丰度差异明显:S3 S1 S2(25. 09% 4. 71% 3. 60%),表明S3具备稳定高效的NO_2~--N积累性能,同时高丰度Thauera属可能是维持低温短程反硝化活性的重要原因.     

海绵城市地块汇水区颗粒污染物的传输

目前我国海绵工程建设多集中在地块汇水区单元内开展,通过多个低影响开发(LID)设施协同完成地表径流水质水量的调控,但基于地块汇水区尺度下城市面源污染的产生和控制效果鲜有报道.本研究比较分析了不同硬化率地块汇水单元内的面源颗粒污染物晴天累积、降雨冲刷、地表径流及径流输出负荷状况.结果表明,地块汇水单元内硬质路面是面源颗粒污染物贡献的最主要的下垫面类型,中硬化率(61.1%)地块和高硬化率(73.6%)地块路面街尘累积量分别约占汇水区单元的88.4%(2.22～12.51 g·m~(-2))和90.1%(4.99～33.43 g·m~(-2)),对径流SS的输出贡献比率分别约为91.7%(0.97～7.34 g·m~(-2))和90.5%(0.92～18.77 g·m~(-2)),降雨径流SS污染负荷占比分别约为95.2%和83.1%,经LID设施处理后输出径流污染负荷约为地表径流的24.0%和40.2%.硬质路面的街尘晴天累积及降雨冲刷以150μm为主,地表径流及输出径流则以50μm粒径段为主,同时地块不透水比例的增加,细粒径(105μm)颗粒物的累积及冲刷分布增大(24.4%和106.4%),而粒径50μm的颗粒物在路面径流中的分布减小(12.4%).屋面的街尘累积、冲刷及降雨径流的粒径分布状况与硬质路面大致相似,但中硬化率地块(1 000μm)和高硬化率地块(250～450μm、45μm)在3个粒径段范围的颗粒物累积和冲刷相较于路面街尘粒径分布明显增加(1 000μm:58.1%和108.5%; 250～450μm:72.9%和41.8%;45μm:59.2%和64.8%).以上结果揭示了颗粒污染物在地块汇水区尺度下的污染全过程(累积-冲刷-输出)分布及LID设施对地块整体SS污染负荷的控制效果,可为地块汇水单元内LID设施工程绩效的科学评估提供重要参考.     

张家界城镇居民幸福水平对旅游城镇化集聚的响应识别及测度

以欠发达地区城镇居民幸福水平对旅游城镇化集聚的响应为研究目标,构建二者的响应模型,识别和测度了城镇居民幸福水平对旅游城镇化集聚的响应强度。结果表明:（1）通过对张家界旅游城镇化集聚水平与城镇居民幸福水平进行格兰杰因果检验发现:旅游城镇化集聚是城镇居民幸福水平的单向格兰杰因果关系,即旅游城镇化集聚对城镇居民幸福水平具有正向促进作用。（2）由于受旅游城镇化集聚水平的影响,幸福水平在不同时期也受不同幸福外在因素的影响,关联度从精神文化环境、自然生态环境等非经济因素向社会安全环境、生活质量环境等经济因素转变。（3）旅游城镇化集聚对城镇居民幸福水平的作用路径区别于满足人们物质需求后,再满足非物质需求的传统幸福水平提升路径,而是先被动地改善“非物质”需求后继而带动“物质”需求改善以提升幸福水平。研究成果可为同类欠发达地区通过发展旅游城镇化提升居民幸福水平提供理论支撑及借鉴。     

UASB启动运行特征及互营丙酸氧化菌定量分析

为揭示升流式厌氧污泥床（UASB）反应器启动运行效能与互营丙酸降解菌群数量之间的关系,以稀释的玉米淀粉生产废水为底物,考察了UASB启动期的运行特征,并采用实时荧光定量PCR技术（qPCR）分析了互营丙酸降解菌群（丙酸氧化菌和产甲烷菌）的演替规律.结果表明,在进水COD 2000mg/L和水力停留时间（HRT）24h条件下,经过38d的连续运行,COD去除率达到了91.9%.当HRT分阶段缩短至8h时,比产甲烷速率达到了315LCH₄/（kg COD·d）,且形成了沉降性能良好的颗粒污泥.qPCR检测结果表明,至少有5种已鉴定的丙酸氧化菌存在于UASB反应器中.Pelotomaculum propionicum为接种污泥中的主要丙酸氧化菌,约占检测到丙酸氧化菌总数的45.7%.它的数量随着HRT缩短不断减少.而Syntrophobacter sulfatireducens和S.wolinii的数量随着HRT缩短不断增加,并在启动完成时达到最大值,分别为1.3×10³,5.5×10³个16S rRNA基因拷贝数/ng DNA,演替成为成熟颗粒污泥中的优势丙酸氧化菌群.Methanobacterium和Methanosarcina为接种污泥中的主要氢营养型产甲烷菌和乙酸营养型产甲烷菌,其数量随着HRT的缩短而逐渐减少,而Methanospirillum和Methanosaeta的数量随HRT的缩短逐渐增加,成为成熟颗粒污泥中的优势产甲烷菌群.     

铁基质强化新型功能性化粪池高效处理黑水的试验

以铁基质生物载体为核心,将物理、生物和化学方法结合,对化粪池进行功能强化,实现黑水的原位深度处理.探究了溶解氧（DO）和碳氮比（C/N）等因素对黑水中污染物降解的影响,并在最佳运行参数下考察了氮素在系统中的转化机制.结果表明,当C/N为7.3~8.4时,好氧生物铁基质载体池DO为2.3~2.7mg/L时,系统氨氮（NH₄⁺-N）、总氮（TN） 、COD和总磷（TP）的平均去除率分别可达90.74%、85.81%、92.65%和95.78%;当进水C/N降至3.3~4.2时,系统NH₄⁺-N、TN、COD和TP的平均去除率仍可维持在81.16%、76.62%、93.87%和94.75%.铁基质生物载体内电解作用显著强化了化粪池内TN的脱除、COD的氧化和TP的固定.氮素转化机制分析表明,内电解与反硝化菌的耦合强化了反硝化作用,降低了反硝化过程对有机碳源的需求,强化了低C/N条件下TN、TP的脱除.