我国城市街道灰尘中重金属的成分分析

收集了国内39个大中城市的3 720个城市街道灰尘重金属数据,通过描述性分析、评价分析、聚类分析和功能分异分析,初步确定了我国大中城市街道灰尘中重金属的成分及其污染程度。结果表明,我国城市街道灰尘中As、Cd、Cr、Cu、Hg、Ni、Pb、Zn的平均赋存量分别为17.82mg/kg、3.67 mg/kg、152.85 mg/kg、143.58 mg/kg、0.66 mg/kg、46.74mg/kg、220.88 mg/kg、602.30 mg/kg,且变化幅度较大,呈偏态分布。除As、Cr、Hg外,其余重金属均低于国外相应平均值。富集系数、Nemerrow指数、地质累积指数和潜在生态危害指数评价表明,污染最为严重的重金属是Cd、Hg、Pb。39个城市中,铜陵、广州、株洲、湘潭、惠州、韶关属于Cd-Hg-Pb-Zn-Cu极严重污染型,南京、上海、北京、芜湖、沈阳、香港、石家庄、杭州、合肥、乌鲁木齐等15个城市属于Cd极严重污染,成都、金华、镇江属于Pb-Zn-Cu强度污染型,其余15个城市的其他重金属为一般中度污染型。南方片区城市街道灰尘重金属污染整体比北方片区严重,中小城市的Cd、Hg、Cu、Zn等污染比特大城市严重,Pb、Cr则相反。城市街道灰尘重金属污染按功能区从高到低为工业区、居民区、商业区、风景区。     

The Effect of Large-Scale Turbulent Structures on a Simple 2-D Canyon-Type Flow

This paper is concerned with a preliminary experimental investigation of the interaction between large turbulent structures, generated in the wake of a circular cylinder, and the rough-wall turbulent boundary layer separated flow immediately downstream of a simple street canyon type geometry represented by backward-facing step. The motivation for the work was to provide some initial data for the validation of a 3-D k- turbulence model used for the prediction of flows and pollutant dispersion within the urban canopy. The aim has been to assess the extent of the perturbation of a simulated street canyon caused by regular large-scale eddies generated upstream. The research has involved the use of thermal anemometry to determine mean velocity and turbulence characteristics both upstream and downstream of the step, together with the mean reacttachment length for the recirculating flow. The results indicate that the presence of the cylinder in the flow reduces the reattachment length. In addition, the periodic structures generated in the cylinder wake are rapidly mixed with the turbulence in the step shear layer such that no periodicity is detected at the reattachment zone.     

Analysis of the St. Petersburg Traffic Data using the OSPM Model

Since October 1998 two DOAS instruments were installed at the level of the first floor and at the top of a building located in St. Petersburg at Pestelya Street. The collected datacovers the time period of December 1998–March 2001, and include concentrations of benzene, toluene, NO and NO₂, ozone and SO₂. There is also an additional information about the traffic intensity and meteorological conditions. The results of the analysis of this data set, using the OSPM model, are presented here with the goal to understand the features of the air pollution dispersion in this street canyon and to analyse the information about the emission factors of the vehicles. In particular, the model results are used for the solution of the inverse problem of reconstructing the emission factors from measured concentrations. The results obtained indicate that most of the concentrations are well inside the Russian standards with the only exception of NO₂ (mean and 98-th percentile are equal to 57.8 and 119.2 g m^-3 for the street level). The same values for benzene are 18.5 and 62.6, respectively. Emission estimates show that there is a possibility that the NO_x and benzene basic emission factors recommended by the Russian national guidelines could result in overestimating the traffic emissions. These considerations are supplemented with the model sensitivity tests carried out in connection with the problem of predictability of NO₂ concentrations in the street canyon. Tests indicate that NO₂ concentrations are not very sensitive to NO_x emissions because of the usually low urban background ozone levels.     

Adapting the Speciation of the VOCs Emission Inventory in the Greater Athens Area

An adaptation procedure of a new emission inventory of theGreater Athens Area is attempted, based on a sensitivityanalysis on the treatment of the VOC emissions. Throughthis procedure the impact that a more detailed treatment ofthe VOCs emissions might have on the atmospheric chemistrysimulations, is examined. For this analysis three differentchemical mechanisms were applied for two differentlocations (urban and city plume) with different VOC andNO_x mixture characteristics. Finally, this studyrecommends new carbon fractions, reflecting the localconditions in Athens basin.     

许昌市街道灰尘重金属含量及其粒径效应

对许昌市街道灰尘样品进行了重金属含量和粒度测试,研究了重金属在各粒径上的富集规律及其原因。结果表明:许昌市街道灰尘主要以粉砂为主(平均为57.62%),砂粒次之(平均值为25.18%),粘粒含量最少(平均值为17.21%)。街道灰尘中Cr、Cu、Zn、Pb、Mn、Ni和Co含量范围分别为60.9—277.4μg?g~(-1)、15.5—116.4μg?g~(-1)、76.5—398.7μg?g~(-1)、25.1—63.7μg?g~(-1)、356—519μg?g~(-1)、9.0—25.6μg?g~(-1)和7.9—10.4μg?g~(-1),平均值分别为96.8±42.7μg?g~(-1)、35.4±23.8μg?g~(-1)、145.3±67.2μg?g~(-1)、41.9±10.4μg?g~(-1)、408±35.7μg?g~(-1)、18.5±4.1μg?g~(-1)和9.0±0.7μg?g~(-1)。Zn、Pb、Cu和Cr的平均值均高于土壤背景值,分别为背景值的2.42倍、2.14倍、1.80倍和1.52倍,污染较重。而Mn、Ni和Co值富集程度较低,污染较轻。研究发现,Cu、Pb、Zn和Cr与50—100μm粗粉砂相关性显著,Mn和Ni与10—50μm细粉砂相关性较高,但其含量并未随着粒径的进一步减小而增强;而Co与10μm的粘粒组分相关性较强,其粒径效应明显。街道灰尘中不同重金属含量粒径效应的不同可能与重金属的吸附作用和同晶替换作用的相对强弱有关。     

The Presence of Calcium Oxalate Dihydrate (Weddellite) in Street Sediments from Niterói, Brazil and Its Health Implications

Established research in first world urban environments has shown street sediments to be effective sinks for heavy metals and emphasises the health risks to children by its inhalation or ingestion. In third world countries with fewer pollution controls, contamination may be augmented by additional pollutants such as sewage discharge into urban streets and/or periodic inundation with sewage-laden run-off. This pollutant not only contains heavy metals and organic matter, but calcium oxalates that may derive directly from the sewage itself. To study this premise street sediments were collected from sites of varying industrialisation and sewage contamination within the city of Niteroi, Brazil. Calcium oxalate dihydrate (weddellite) was identified by X-ray diffraction, fourier transform infra red and scanning electron microscopy techniques and oxalate concentrations in <63m and colloidal (clay and organic matter) fractions, were determined by ion chromatography. Oxalate in colloidal fractions averaged 43601mgkg^–1 in sewage contaminated industrialised urban zones, 4519mgkg^–1 in suburban areas and 17477mgkg^–1 in suburbs with favelas (shantytowns-of Niterói). Oxalate concentrations coincide with high levels of metal ions (Fe, Mn, Zn, Pb, Ni, Cr) that stabilise calcium oxalate dihydrate and prevent its dehydration to the monohydrate (whewellite). Lower levels of oxalate were found in lichen-covered roof sediment, plaster and mortar samples. Oxalate concentration coincides with sewage contamination and street sediments appear to act as a sink for calcium oxalate dihydrate derived from sewage. Previous studies have shown that low levels of exposure can damage kidneys and the nervous system, while prolonged exposure can cause severe corneal, retinal and skin damage, cyanosis and possibly gangrene. Contact with blood serum may result in hypocalcemia, muscular stimulation, convulsions and finally collapse. The conditions described are common throughout urban areas of the developing world and may suggest a particular environmental hazard in these regions.     

城市街道内机动车排放污染物NO对流扩散的特征

采用现场观测和数值模拟的方法研究了城市街道内机动车排放污染物中的NO扩散特征。结果表明:城市街道中机动车排放污染物的对流扩散取决于屋顶风向和风速,随着建筑物顶部气流速度的增大,街道内同样位置的污染物浓度相对减小;当风向垂直于街道轴线时,街道内同样位置的污染物浓度最大;同时街道内机动车排放的污染物浓度与车流量成正比关系,即机动车流量越大污染物浓度越高。     

The performance evaluation of WinOSPM model for urban street canyons of Nantes in France

Air quality modelling is primarily the quantative approach. It is more difficult as it demands input data accuracy, uncertainties and the efficient methodologies to judge the extent of models accuracy. As a result, model validation has to be regarded as an integral part of the modelling process. Furthermore, models are often validated on a limited number of testcases therefore, appropriate evaluation procedure must be implemented to ensure these models will be applicable for various conditions. The study presented here was carried out to evaluate theWinOSPM (Preliminary version of windows based Operational Street Pollution Model) for air pollutants viz. CO, NO, NO₂, NO_x and C₆H₆ for three street canyons of Nantes (France) and for the three base years 1999, 2000, and 2001. Each street canyon selected for this study has typical and unidentical features. The rue de Strasbourg and Boulevard Victor Hugo have many building exceptions whereas rue Crébillon has not any. Application of the model above to the three street canyons revealed that WinOSPM could be used in the case when measurements are not available. This was justified from the results at rue Crébillon. The special interest was in the benzene modelled values as its content in fuel has been targeted to reduce to 1% for the years 2000 and onwards (from its 5% until the year 1999). The 50 to 70% reduction in the benzene concentrations is found for both the years i.e. in 2000 and 2001. This has further justified that air quality models are useful and interesting tools in optimising emission reduction strategies. Moreover, it is also the new pollutant added to the measurement campaign of Air Pays de la Loire (APL) for the city of Nantes. For benzene weekly averages are estimated from the hourly-modelled values for all the streets and compared with that of measurements. They are found in excellent agreement with each others. For other pollutants annual means and percentiles were compared. The statistical analysis was done to evaluate the models performance using index of agreement and correlation coefficient. The index of agreement (d) and correlation coefficient (r) for all the streets show that estimated concentration levels are in good agreement with that of measurements. From the index of agreements, it can be inferred that model has very less potential for errors. The models sensitivity to building-exceptions was also tested for the rue de Strasbourg. Results did not reflect this feature very well. It is perceived that the influence of this feature might have been suppressed in averaging the annual hourly values. This influence is apparently seen in hourly average time series variations. Finally, WinOSPM model was found a simple but very useful model. It could very well represent the detailed flow and dispersion conditions in urban streets.     

Field Study of Wind and Traffic to Test a Street Canyon Pollution Model

In the U.K., local authorities have new duties to review and assess air quality. Dispersion models are important tools in this process. The performance of a street canyon model, AEOLIUS, in calculating carbon monoxide (CO) concentrations in urban areas is discussed. A field experiment was conducted in a busy street canyon in Leek, Staffordshire. Wind speed and direction were measured at three heights adjacent to the street. The canyon's CO concentrations and traffic counts were recorded. Predicted concentrations of CO, calculated using AEOLIUS, were compared with the observed values. The concept of a roof-top wind is discussed, as are the consequences of using wind measurements from outside the town. Choice of wind measurement location and height of the anemometer above the canyon had a pronounced effect on calculating the roof-top wind. Two methods of deriving a street level wind speed from a roof-top wind speed gave results that differ by up to a factor of two. AEOLIUS had variable skill at predicting CO concentrations depending on the roof-top wind direction: possible reasons for this variability are explored. A sensitivity study of the model showed that vehicle emissions have the greatest impact on predicted concentrations. Implications for local air quality management are discussed.     

南京市街道峡谷机动车尾气污染特点和环境容量分析

通过对具有街道峡谷特征的南京市中山路机动车的车流量污染物质量浓度和气象要素的调查与监测，了解到中山路机动车尾气污染物中CO，NO x的质量浓度与车流量有关，成正比关系，日车流量高峰时间分别在10：00，14：00和18：00。中山路环境容量分析是通过污染物扩散模型对CO，NOx污染物质量浓度模拟，其模拟结果和实测结果相近：CO质量浓度的模拟和实测结果比值在[0.5,2]区间的比例为96％，NOx质量浓度的模拟和实测结果比值在[0.5,2]区间的比例为80％，表明模拟结果有效。