北京市典型道路交通噪声排放特征

采用北京市道路交通噪声自动监测系统2013—2017年采集的等效连续A声级数据,对城市快速路、城市主干线、城市次干线、城市支路的代表性站点噪声排放情况进行了统计分析,结果显示,北京市不同等级的道路噪声排放具备一定的特征,排放水平从大到小依次为城市快速路城市主干线城市支路和城市次干线,道路噪声随时间变化存在较为一致的周期性排放特征,24 h变化特征比较明显。个别道路排放特征存在特异性,如城市主干线道路的一个代表监测站点噪声监测值出现了逐年下降趋势,分析发现,北京市非首都功能疏解对其噪声值的下降有一定贡献。采取一定的规划和管理措施有助于减少道路交通噪声的排放。     

北京城区冬季道路灰尘粒度特征分析

对2013年1月于北京城区采集的40组道路灰尘样品用激光粒度仪进行粒度测定。结果表明:北京城区冬季道路灰尘频率曲线呈单峰态或双峰态分布,单峰型峰值粒径为112~237μm,双峰型第一峰值粒径为189~286μm,第二峰值粒径为42~57μm。道路灰尘平均粒径为183μm,分选性差,呈极不对称的极正偏宽峰态到窄峰态,属砂土。道路灰尘是局地灰尘和区域灰尘的混合物,且主要为跃移或短时悬浮颗粒物,对大气悬浮颗粒污染物的贡献量不大。研究4种不同道路类型灰尘发现,平均粒径从大到小顺序为快速路支路次干路主干路,分选系数与偏度为快速路主干路次干路支路,峰度无较大区别,细颗粒含量主干路次干路(支路、快速路)。主干路灰尘污染贡献率更高,对大气环境和人体健康的危害潜力不容忽视。     

百色市PM10和PM2.5中有机碳和元素碳污染特征及来源解析

2015—2016年在百色市布设3个采样点采集PM_(10)和PM_(2.5)样品,分析其中有机碳(OC)和元素碳(EC)的含量。结果表明,PM_(10)和PM_(2.5)中OC、EC四季均值分别为15.0μg/m~3、5.55μg/m~3和11.7μg/m~3、4.72μg/m~3;OC与EC相关性不显著,存在不同的污染来源;OC/EC值多数2,存在二次污染,主要来源于柴油、汽油车尾气和燃煤的排放。由总碳质气溶胶(TCA)和8个碳组分丰度分析可知,百色市碳气溶胶(CA)来源于汽车尾气、道路扬尘、燃煤的排放。二次有机碳(SOC)在OC中的占比均75%,表明百色市大气颗粒物中OC以SOC为主,夜间污染重于昼间。     

都匀PM_(10)中水溶性无机离子分布特征与来源分析

2013年4月—2014年1月,按季节在都匀劳动局楼顶采集PM_(10)样品,对样品中的水溶性无机离子的特征和来源进行分析。结果表明,PM_(10)中总水溶性无机离子年平均质量浓度为53.76μg/m~3,其中SO~(2-)_4、NO~-_3、NH~+_4为主要离子,年平均质量浓度分别为34.69μg/m~3、7.15μg/m~3和6.60μg/m~3;PM_(10)中水溶性无机离子总质量浓度呈现出春季最高,冬秋季次之,夏季最低的特征,主要离子也呈现出相似的分布规律;离子平衡表明,4个季节PM_(10)均显弱酸性,CE/AE年均值为0.73;NO~-_3/SO~(2-)_4年均值低于0.3,表明采样期间PM_(10)污染主要来自固定源;主成分分析结果表明,二次污染、扬尘、工业活动排放以及生物质燃烧等是PM_(10)的主要污染来源。     

上海市浦东新区大气细颗粒物中重金属污染特征及来源解析

于2017年对浦东城区和郊区大气PM2.5中的重金属特征和来源进行了分析。结果表明,K、Fe、Na、Ca、Mg、Al等矿物元素为浦东新区PM2.5中含量最高的金属元素,其中K的年均值为297.3 ng/m^3。浦东城区的不同元素在季节变化上呈现较为不同的变化规律,郊区的金属元素值大部分呈现春季先逐月下降,在夏、秋季有起伏波动,在10月之后逐渐上升;沙尘+道路源+建筑扬尘、煤燃烧、工业排放、金属冶炼、船舶排放、海盐+垃圾焚烧+生物质燃烧为浦东城区PM2.5中重金属元素的6大类主要来源。其中沙尘+道路源+建筑扬尘对Ca的贡献率为82.7%,煤燃烧对As的贡献率为86.6%,工业排放对SO4^2-的贡献率达到65.9%,金属冶炼对Cr的贡献率为75.7%,船舶排放对V的贡献率为97.5%、海盐+垃圾焚烧+生物质燃烧对Cl^-的贡献率为93.0%。煤燃烧和金属冶炼主要来自于西部方向。船舶排放分布在长江口及其延伸带。浦东新区PM2.5中重金属元素的质量浓度与本地源排放强度、外界传输和大气扩散条件均有密切关系。     

宜兴市细颗粒物化学特征和来源解析

通过在宜兴市3个监测站点对细颗粒物(PM_(2.5))开展不同季节采样,对样品做化学分析,结合化学质量平衡(CMB)模型解析PM_(2.5)来源贡献。结果表明,宜兴市PM_(2.5)年均质量浓度为37.5μg/m~3,冬季质量浓度最高,为53.1μg/m~3。PM_(2.5)主要化学成分为SO_4~(2-)、NO_3~-、OC、EC、NH_4~+、Cl~-、Ca、Na、Al。PM_(2.5)的主要排放源贡献为二次硫酸盐(21.0%)、二次有机气溶胶(14.9%)、二次硝酸盐(14.1%)和燃煤电厂(8.0%)。利用本地排放源清单进行二次来源解析,得到全年主要排放源贡献为工业(33.1%)、燃煤(23.1%)、移动源(17.6%)、扬尘(9.3%)和其他来源(16.9%)。减轻颗粒物污染,重点是控制工业生产、燃煤及机动车中的排放。     

典型工业园污染源羰基化合物排放特征研究

选取中国华东地区某工业园新区典型行业企业进行现场采样,利用PFPH衍生化-GC/MS联用技术进行羰基化合物(CBCs)的组成特征和含量水平检测,研究其排放特征。结果表明,在该工业园新区内共检出22种CBCs,各化合物的质量浓度为0.008~239.4μg/m~3,各企业CBCs总质量浓度均值为(437.62±64.45)μg/m~3,工业污染源排放贡献率由高至低顺序依次为涂料制造橡胶制造医药制造化学品制造金属制造电子元件制造。根据各物质化学反应活性及大气化学寿命,获得该工业园新区典型的CBCs分子标志物为甲醛、乙醛、丙酮、丙醛、2-丁酮、丁醛、己醛、环己酮和苯甲醛,它们占总CBCs含量的80.01%,其中乙醛含量最高,质量浓度均值高达(95.42±71.48)μg/m3。最后,建立了6种典型工业污染源CBCs成分谱。     

广州近郊主干道(广佛公路)机动车排放有机污染物监测与研究

气溶胶采样点位于广州近郊主干道(广佛公路)边缘及两侧.采样分两种时间类型,一种为白天和夜晚分别采样,另一种为连续24h采样,连续采集三天,以作对比研究.使用仪器为国产大体积采样器.样品经超声波抽提和层析柱分离得到正构烷烃、芳烃(AHs)和极性组分等三种有机组分.对PAHs进行GC-MS分析,气溶胶中具有较高含量的芴、菲、蒽、荧蒽、芘、苯并[a]蒽、茬、苯并[b]荧蒽、苯并[]荧蒽、苯并[a]芘、茚并[1,2,3一cd]芘、二苯并[a,h]蒽、苯并[g,h,i]苝等.通过TSP研究认为,主干道的机动车排放和扬尘是气溶胶的主要来源,多环芳烃从机动车排放出后在迁移扩散过程中因质量数差异而发生分离效应.通过对比可知,该区域测点多环芳烃有机污染物极大程度地高出环境背景区.     

齐齐哈尔市春季大气中PM2.5的污染特征分析

2013年4—6月分析了齐齐哈尔市大气PM2.5的浓度特征、元素组成、水溶性离子及其来源,并利用单颗粒分析技术获得了单颗粒的形貌、化学组成及粒度分布。结果表明,监测周期PM2.5日均质量浓度为34μg/m3,受气象条件影响显著。PM2.5单颗粒类型主要为烟尘集合体、飞灰和矿物颗粒,分别来源于煤炭燃料的燃烧、机动车尾气排放和扬尘。其中约90%的PM2.5颗粒粒径小于1.0μm,属大气细粒子。全样分析表明,PM2.5主要组成元素是Al、Fe、Ca、K、Mg和Na,而Zn、Cu和Pb因受到人为污染富集度较高。SO42-、NO3-和Cl-为PM2.5主要监测到的水溶性阴离子,NO3-与SO42-的质量浓度比说明了固定排放源对齐齐哈尔市春季大气PM2.5的贡献大于移动排放源。     

佛山市交通CO2排放及低碳出行对策

以佛山市2012年数据为基础,结合COPERT模型,分析了车型种类、排气量、燃油类型、排放水平等对CO2排放因子的影响规律,探讨了不同车型组成与排放水平下的CO2排放分担率,讨论并评估了佛山市的低碳交通出行对策。结果表明:排放水平对CO2排放因子的影响不明显,除重型客车与公交车,燃油类型对CO2排放因子的影响亦不明显,各车型的CO2排放因子随着排气量的增加而增加;当佛山市机动车平均行驶速度提高至55 km/h时,每辆车CO2综合排放因子可达最小值125.73 g/km;轻型客车和摩托车的CO2排放量最大,分别为1469 493 t/a和394 174.3 t/a,分担率分别为52.1%和14.0%;不同排放水平的载客车CO2排放分担率从大到小排序依次为:国I国0国Ⅱ国Ⅲ国Ⅳ,分别为34.7%、22.0%、21.2%、17.5%及4.6%。     

Determination of road dust loadings and chemical characteristics using resuspension

The contribution of fugitive dust from traffic to air pollution can no longer be ignored in China. In order to obtain the road dust loadings and to understand the chemical characteristics of PM₁₀ and PM_2.5 from typical road dust, different paved roads in eight districts of Beijing were selected for dust collection during the four seasons of 2005. Ninety-eight samples from 28 roads were obtained. The samples were resuspended using equipment assembled to simulate the rising process of road dust caused by the wind or wheels in order to obtain the PM₁₀ and PM_2.5 filter samples. The average road dust loading was 3.82 g m^− 2, with the highest of 24.22 g m^− 2 being in Hutongs in the rural–urban continuum during winter. The road dust loadings on higher-grade roads were lower than those on lower-grade roads. Attention should be paid to the pollution in the rural–urban continuum areas. The sums of element abundances measured were 16.17% and 18.50% for PM₁₀ and PM_2.5 in road dust. The average abundances of OC and EC in PM₁₀ and PM_2.5 in road dust were 11.52%, 2.01% and 12.50%, 2.06%, respectively. The abundance of elements, water-soluble ions, and OC, EC in PM₁₀ and PM_2.5 resuspended from road dust did not change greatly with seasons and road types. The soil dust, construction dust, dust emitted from burning coal, vehicle exhaust, and deposition of particles in the air were the main sources of road dust in Beijing. Affected by the application of snow-melting agents in Beijing during winter, the amount of Cl⁻ and Na⁺ was much higher during that time than in the other seasons. This will have a certain influence on roads, bridges, vegetations, and groundwater.     

Monitoring of heavy metal levels in roadside dusts of Thessaloniki, Greece in relation to motor vehicle traffic density and flow

In recent years, the level of heavy metal pollution in urban areas has been of considerable concern. The principal source has been attributed to the motor vehicle and increasing inner city congestion, which has lead to a change and enlargement of transport stop-start zones. These areas of high traffic density are associated with an increased release of heavy metals into the adjacent residential or commercial areas. Seventy-five roadside dust samples were collected throughout the inner city and by-pass motorway areas of Thessaloniki, Northern Greece. Samples were taken from arterial, major and minor roads, as well as the ring road, to compare and contrast the levels of heavy metals, namely Cu, Zn, Cd, Mn and Pb. Flame Atomic Absorption Spectroscopy (FAAS) was developed to quantitatively determine concentrations of both total element and geochemical fractionation, within the two dust particulate fraction sizes <75 microm and 75-125 microm. Acid digestion using Aqua Regia (3:1 conc. HCl:HNO(3)) was employed for the total elemental analysis, a method that was validated through the use of certified reference materials (CRM). Fractionation studies involved a three-step sequential extraction method performed on five selected samples (representatives of high, mid and low total elemental concentrations). The resultant solutions were analysed for lead and zinc levels to ascertain fractionation throughout the different geochemical fractions, thus assessing bioavailability.It was found that congestion/stop-start traffic patterns did influence and have led to increased levels of heavy metal deposition along inner city roads compared to levels observed on the new relief ring road. Dust particulate fraction sizes were only found to show statistically significant differences in cadmium and manganese, at the probability P < 0.001 or 99.9% confidence limit. Both Cd and Mn showed higher total levels in the smaller fraction sizes (<75 microm), implying that their major release source is exhaust emissions. There were no significant differences in the other elements, at the P > 0.05 or 95% confidence limit. Road type was seen to have little affect on cadmium and manganese, though lead, copper and zinc were all found to show higher levels on the inner city routes. This can be related back to the wear-and-tear of vehicle components as a result of the stop-start traffic patterns (brake pads etc). Both Pb and Zn have shown to be in chemical forms that are bio available to ecosystems.     

测点高度对道路交通噪声监测数据的影响

通过在4城市对132条道路进行了道路交通噪声测点高度试验,系统分析了测点高度从手工监测的1.2 m向自动监测的4.5 m转化后,在不同道路情况对道路交通噪声监测数据的影响。结果表明,测点高度提高后监测结果变化在±3 dB(A)以内。待测道路的车道数和测点与机动车道的距离是其主要影响因素。对两测点高度进行对比,4.5 m高度噪声值随水平距离增加衰减较小,测量结果更稳定。     

CALRoads模式在上海市典型道路CO扩散预测中的应用

根据上海市市区、郊区典型主干道的气象条件、车流量、车型比例,以及CO小时质量浓度的监测资料,采用CALRoads模式中CALINE4和CAL3QHC模块,对郊区主干道和市区典型路口的适用条件分别进行了验证.结果表明,在稳定的气象条件下,CALINE4模式在模拟周围相对空旷主干道附近的CO质量浓度时,具有较好的结果,将CAL3QHC模式应用于市区典型交叉口,可以得到同监测值相对吻合的模拟结果,但准确性低于郊区.应用CALRoads模型对未来城郊典型道路附近CO高峰小时质量浓度的发展趋势进行了预测,并基于情景分析给出了减少交通污染的对策建议.     

A comparative study of noise pollution levels in some selected areas in Ilorin Metropolis, Nigeria

The noise pollution is a major problem for the quality of life in urban areas. This study was conducted to compare the noise pollution levels at busy roads/road junctions, passengers loading parks, commercial, industrial and residential areas in Ilorin metropolis. A total number of 47-locations were selected within the metropolis. Statistical analysis shows significant difference (P < 0.05) in noise pollution levels between industrial areas and low density residential areas, industrial areas and high density areas, industrial areas and passengers loading parks, industrial areas and commercial areas, busy roads/road junctions and low density areas, passengers loading parks and commercial areas and commercial areas and low density areas. There is no significant difference (P > 0.05) in noise pollution levels between industrial areas and busy roads/road junctions, busy roads/road junctions and high density areas, busy roads/road junctions and passengers loading parks, busy roads/road junctions and commercial areas, passengers loading parks and high density areas, passengers loading parks and commercial areas and commercial areas and high density areas. The results show that Industrial areas have the highest noise pollution levels (110.2 dB(A)) followed by busy roads/Road junctions (91.5 dB(A)), Passengers loading parks (87.8 dB(A)) and Commercial areas (84.4 dB(A)). The noise pollution levels in Ilorin metropolis exceeded the recommended level by WHO at 34 of 47 measuring points. It can be concluded that the city is environmentally noise polluted and road traffic and industrial machineries are the major sources of it. Noting the noise emission standards, technical control measures, planning and promoting the citizens awareness about the high noise risk may help to relieve the noise problem in the metropolis.     

Characterization of different road dusts in opencast coal mining areas of India

Dust from haul and transport roads are the major source of air pollution in opencast coal mining areas. Dust generated during mining operations pollutes air which causes different health problems. Various available techniques are implemented in the field to minimize and control dust in mining areas. However, they are not very effective because dust deposited on road surfaces are not removed by these techniques. For effective control of dust in opencast mining areas, it has to be regularly collected from road surfaces and may be converted into solid form, and subsequently can be used as a domestic fuel considering its physicochemical properties. The present paper describes a comparative study of qualitative and quantitative aspects of road dust samples of four coalfields of India. The pH of the dust was found to be in the range of 5.1–7.7. Moisture, ash, volatile matter, fixed carbon, water-holding capacity, bulk density, and specific gravity of dust samples were found to be in the range of 0.5–3.0%, 45–76%, 12.6–20.0%, 10.2–45.3%, 21.17–31.71%, 1.15–1.70, and 1.73–2.30 g cm⁻³, respectively. Observing the overall generation and characteristics of coal dust, it is suggested that coal dust from haul and transport roads of mining areas can be effectively collected and used as domestic fuel.     

An empirical study of estimating vehicle emissions under cordon and distance based road user charging in Leeds, UK

This paper presents the impact of road user charging (RUC) on vehicle emissions through application of traffic assignment and pollutant emission models. It presents results of an analysis of five RUC schemes on vehicle emissions in Leeds, UK for 2005. The schemes were: a ￡3 inner ring road cordoncharge; a double cordon with a ￡2 inner ring road and a ￡1 outer ring road charge; and distance charges of 2, 10 and 20 p/km levied for travel within the outer cordon. Schemes were compared to a no charge option and results presented here. Emissions are significantly reduced within the inner cordon, whilst beyond the cordon, localised increases and decreases occur. The double cordon exhibits a similar but less marked pattern. Distance charging reduces city-wide emissions by 10% under a 2 p/km charge, 42–49% under a 10 p/km charge and 52–59% under a 20 p/km charge. The higher distance charges reduce emissions within the charge zone, and are also associated with elevated emissions outside the zone, but to a lesser extent than that observed for cordon charging.     

省级高空间分辨率扬尘源排放清单研究

通过对浙江省统一开展部署和行动，现场调查收集全省7 507个施工工地、3 923个堆场以及不同等级公路和城市道路的真实活动水平数据，并基于点源地理信息和路网信息图层，采用排放系数法和ArcGIS工具构建了浙江省2015年3 km×3 km高空间分辨率扬尘源排放清单。结果表明，2015年浙江省扬尘源PM₁₀和PM_2.5的排放量分别为24.26×10⁴ t和6.00×10⁴ t，其中PM₁₀和PM_2.5排放贡献均主要为施工扬尘和道路扬尘，施工扬尘分别贡献37.7%和39.3%，道路扬尘分别贡献36.5%和39.1%。从城市空间分布来看，杭州市、宁波市、温州市、绍兴市扬尘排放总量居于全省前四，舟山市最低，而城市主城区排放量显著高于郊区。     

广州市昼夜道路交通噪声的监测与分析

对广州市的昼夜交通噪声污染现状进行了分区域分道路等级的实地监测,得到共53个监测点位白天和夜晚的等效声级及其统计声级,同时对每个监测点展开了交通流调查,并分析交通流特征对交通噪声的影响。监测结果表明, 白天快速路、主干路、次干路及支路的平均等效声级分别为74.2、72.2、67.8、65.1 dB,快速路及主干路沿线的交通噪声污染比次干路及支路的严重。夜晚所有测点的噪声值均超过55 dB,快速路、主干路、次干路及支路的平均等效声级分别为72.2、72.3、66.3、64.5 dB,广州市夜晚的交通噪声污染较为严重。