重庆市主城区街道灰尘中氦、磷污染研究

随着城市化的快速发展,城市街道灰尘的污染研究成为评价城市环境质量的一个重要方面. 本文通过对重庆市主城区街道灰尘的调查与分析,从而了解灰尘中氮、磷的含量、附存形态及其污染现状.     

北京市天然气公交车的发展现状及前景

随着石油资源短缺、城市空气污染问题的日益严重,天然气汽车作为一种实用的低排放汽车逐渐得到了重视和应用。本文首先通过汽车与能源、汽车与环境两个方面,分析说明了北京市发展天然气汽车的重要性;然后简要介绍了北京市天然气公交车的发展现状、未来几年的发展规划,最后指出了实现发展规划的条件和政策。     

重庆市主城区街道灰尘重金属的污染特征分析

分析了重庆主城区的7个功能分区的40个街道灰尘样品中的As、Cd、Cr、Cu、Hg、Ni、Pb、Zn等8种重金属元素的全量.结果表明,重庆市街道灰尘各重金属的平均含量均低于全国同类城市平均水平,不同功能区之间,Hg的变异系数达到显著差异;灰尘中各重金属(除Cr外)均以0—0.25mm粒径的质量分配量占绝对优势;以主城区深层土壤背景值为评价标准,重金属元素中,Hg、Cu、Pb达到了重污染,Cd、Zn、As达到了中度污染;Cr、Ni达到了轻污染;商贸区、工业区、居民区、文教区都达到了重污染,剩余功能区也都达到了中度污染.重庆市主城区街道灰尘中,Cu、Pb、Hg为主要污染重金属,居民区和商贸区的为主要控制功能区.     

不同结构形状的街道峡谷内污染物扩散

针对不同的城市街道峡谷结构形状,通过求解二维不可压缩N-S方程和K-ε湍流模型方程及污染物对流扩散方程,数值模拟了街道峡谷内的流场及机动车排放污染物浓度场,从而说明了街道峡谷的结构是影响街道峡谷内污染气体扩散的主要因素之一。     

城市降雨径流非点源污染分析与研究进展

城市降雨径流污染已经成为非点源污染的一个新生点，通过对城市降雨径流污染的概念、污染物来源及成分分析，系统地整理了有关国内外城市降雨径流污染研究的资料，为我国的城市降雨径流污染的研究提供科学的理论依据。     

节能和清洁能源汽车

随着天津市机动车保有量的增加，由机动车排放造成的污染绝对量也在增长，燃料的充分利用和加速发展或引进技术含量高、排放低甚至零排放的车型，是改善天津市机动车排放状况减少对环境空气环境污染的重要措施，本文阐述较先进的机动车节能技术现状及使用清洁能源燃料汽车的发展趋势。     

城市交通与机动车排放控制

论述了随着城市机动车保有量的急剧增长,机动车排放污染物对城市大气环境的影响也越来越大。分析了城市机动车排放污染的状况及影响因素,特别重点讨论了机动车车型和汽车城市道路运行工况对机动车排放污染物的影响。为了改善城市大气环境,推动城市全面、协调、可持续发展,提出了若干措施,供城市规划、城市交通管理部门参考。     

汽车驾驶人与环境

本文探讨了这样一个简单观点：汽车驾驶员、汽车业以及立法者的作用可以是也必须是始终确保车辆污染排放最小化． 我们确信,在可预见到的未来,车辆污染和私车欲望将会持续增长．从经济上和接受程度上,替代燃料仍不能完全取代今天的化石燃料．在提高车辆燃料效率及减少污染排放方面,汽车工业、制造商和供应商已经取得了巨大进步．尽管减少污染排放技术的步伐迈得很大,但是我们还不得不正视废气排放量的增加以及它们对环境的冲击． 我们也应该认识到,要在不远的将来建立起全球性或其它的（减少到国家的或欧盟的水乎）共同的排放价值观是…     

天津市高架点源对城区空气质量影响分析

从典型高架点源到城市众多高架源的污染进行综合分析，阐述了高架点源的污染分布特征和对城市空气质量的影响，高架点源对天津市污染物排放贡献率为45％，但对城市空气质量影响为12％。     

中国城市汞污染及防治对策

简要综述了当前中国城市的汞污染状况。中国许多工业城市大气中的汞含量是纽约市大气中汞含量的数倍，甚至上百倍，在采暖期城市大气的汞污染更加严重；城市土壤中的汞含量是土壤环境背景值的数倍；河流的城市河段河水中汞质量浓度普遍很高，水质多在Ⅲ-V类；城市中的植物均有不同程度地受到汞污染，其汞含量高于国外城市的植物的汞含量；城市居民膳食中鱼的汞含量很高，对城市居民的健康产生了危害；城市居民头发中的汞质量分数大多低于1rng~kg。分析了我国城市中汞的来源并提出了防治城市汞污染的对策。     

天津城市道路灰尘重金属污染特征

以天津城市道路灰尘重金属为研究对象,按照环线分布将天津市中心城区划分为内环以内、内环-中环、中环以外3个区域,总共设置93个采样点。对表层灰尘进行采样收集,预处理后测定样品的理化性质,采用原子吸收光谱仪测定道路灰尘中重金属Cd、Cr、Cu、Ni和Pb的含量,进而分析天津市道路灰尘重金属的含量水平,运用ArcGIS软件中的地统计分析方法内插得出其空间分布特征,通过Pearson相关分析和主成分分析判析重金属来源。研究结果表明：道路灰尘颗粒粒径表现为双峰,主峰对应粒径较小,且为非正态分布,大量小粒径颗粒的存在使重金属含量增高;市区和各环区有机质变异系数较大,道路灰尘中有机质的空间分布差异较大,因而人为因素影响广泛;市区道路灰尘中重金属 Cd、Cr、Cu、Ni 和 Pb的平均含量依次为0.99、121.41、100.62、43.35和61.48 mg·kg-1,分别为天津土壤环境背景值的11.00倍、1.44倍、3.49倍、1.30倍和2.93倍;Cd、Cr和Cu的空间分布差异较大,Ni和Pb的空间分布差异较小;Pearson相关分析表明Pb-有机质（P＜0.05）, Cu-Ni（P＜0.01）和Cr-Cu（P＜0.05）之间存在显著正相关关系,主成分分析人为因素的积累贡献率为33.050%,自然因素的积累贡献率为57.315%,因此得出重金属受人为因素影响较大,交通尾气排放和工业污染为天津道路灰尘重金属污染的重要来源,且以多因子复合影响为主。     

贵阳市城市道路灰尘重金属铅污染及评价

对贵阳市城市道路灰尘重金属铅污染进行了研究。结果表明：2008年贵阳市各行政区道路灰尘中铅的含量按南明区、乌当区、白云区、花溪区、云岩区、小河区顺序分别为81.19～174.94mg/kg、54.33～177.62mg/kg、59.75～275.93mg/kg、59.45～143.41mg/kg、61.32～106.05mg/kg、57.84～115.53mg/kg,平均含量分别为110.94mg/kg、78.49mg/kg、105.35mg/kg、96.87mg/kg、81.51mg/kg、88.11mg/kg,分别为环境背景值的3.0倍、2.1倍、2.8倍、2.6倍、2.2倍、2.4倍;不同行政区铅含量存在较大差异,铅在空间分布上也存在较大差异,其中白云区差异最大,云岩区差异最小。地积累指数及铅污染指数评价表明：贵阳市城市道路灰尘中铅污染总体上处于轻度污染水平,但局部区域处于偏中度至中度污染水平。     

The investigation of metal concentrations in street dust samples in Aqaba city,Jordan

The concentrations of metals (Fe, Zn, Cu, Cr, Pb, Cd, Ni, Mn and Co) in 140 street dust samples were collected from Aqaba city, Jordan. These samples were determined using flame atomic absorption spectrophotometry after digestion with aqua regia. The highest levels of metal concentrations were found in the samples from heavy traffic. While the lowest levels of metal ions were noted in the street dust samples from hospital and health centers and school gardens. The results of this study were compared with several cities around the world. The levels of the metal concentrations found were generally below the mean world-wide values of street dust samples. Metal values in urban street dust samples were several times higher than the control levels. The statistical analyses were applied to the data matrix to determine the analytical results and to identify the possible source of pollution in the studied area. Correlations between the metal concentrations of the street dust samples were obtained. Factor analysis showed that the area was mainly influenced by three sources, namely lithogenic, traffic, and industrial.     

Geochemistry and health risk assessment of arsenic exposure to street dust in the zinc smelting district, Northeast China

The aim of this study was to investigate arsenic (As) accumulation in street dust and health risk of population. The investigation concentrated on: a. pollution levels of As in street dust; b. spatial distribution of As in street dust; c. physicochemical properties analysis of street dust; and d. assessment of population health risk due to As exposure to street dust. As concentration in street dust ranged from 3.33 to 185.1?mg?kg^?1, with a mean of 33.10?mg?kg^?1, which was higher than the background value of Liaoning soil. As contamination level of the area closing to Huludao Zinc Plant (HZP) was highest. Spatial variation showed that the pollution center was close to HZP, formed radial distribution pattern and extended to the northeast and southwest of HZP. The pH and organic matter of street dust were both higher than the background values of soil in Liaoning. There was significantly negative correlation between As concentration and the pH. The mass percentages of particles 180?C100,?<100?C75,?<75?C63, and?<63???m were 29.8, 3.7, 21.3, and 4.2?%, respectively. The highest of As concentration was found in the smallest particle size (<63???m). As loadings in the particles of grain size 180?C100 and?<75?C63???m were higher than other particle fractions. Results of the risk assessment indicated that the highest risk was associated with the ingestion of street dust particles. Health risk for different use scenarios to human decreased in the order of HZP?>?Industrial district?>?School?>?Commercial center?>?Residential area. Around HZP, Hazard Index (HI) for children and cancer risk of As by street dust exposure exceeded the acceptable values. It indicated that there was a potential adverse effect on children health by As exposure to the street dust of Huludao.     

Upstream Turbulence Effect on Pollution Dispersion

Experiments have been carried out to investigate turbulence at and above roof-level in an urban environment, and to predict the behaviour of street pollution from experiments using dye dispersion, for different roughness conditions and bed geometries. The flow in the boundary layer above an idealised urban environment has been simulated in a laboratory water flume. Comparisons have been made for the same model street canyon with and without the presence of upstream roughness. In the tests reported here, model street canyons were aligned perpendicular to the flow direction, and velocity measurements made within and above the model street canyons using a laser Doppler velocimeter (LDV). Flow visualisation techniques have also been used to confirm the gross flow features from streak images. Turbulence generated from the upstream roughness has a significant effect on the turbulence production and dispersion behaviour of the dye simulating pollution in street canyons.     

春季不同天气城市街头绿地内PM2.5质量浓度分布特征研究

于2012年春季,采用水平分布监测法监测了3种天气下距交通污染源不同距离的街头绿地中的PM2.5质量浓度,研究了不同天气下PM2.5的日变化、水平分布规律及绿地对PM2.5的净化效应,为城市街头绿地、城市公园建设及市民合理选择休闲锻炼时间和地点提供理论依据。结果表明：1）晴天和多云时,PM2.5质量浓度上午高于下午,7：00浓度最高,15：00最低;雨后阴天基本保持上升趋势。2）PM2.5日均质量浓度为晴天（61.67μg·m-3）〈多云（187.98μg·m-3）〈雨后阴天（291.48μg·m-3）。晴天除5：00和7：00外,其他时刻均达到国家二级标准,且13：00—15：00达到国家一类功能区空气质量要求;多云和雨后阴天PM2.5质量浓度分别超过国家二级浓度限值150.6%和288.6%。3）观测时段内,无论哪种天气,5：00、7：00、11：00和15：00绿地的净化功能较强,19：00净化功能均最差,所有监测点无一例外的表现为负效应。4）3种天气下,PM2.5质量浓度在距离道路10~25 m最高,绿地的净化效应最差,55 m外基本可以形成稳定的森林内环境。5）在南方高湿环境下,空气相对湿度是影响PM2.5质量浓度的主要因素,晴天和多云天气PM2.5浓度与相对湿度呈显著正相关,而雨后阴天二者呈负相关关系。6）在一定阈值内,街头绿地能够缓解PM2.5污染,为居民提供良好的休闲环境。从游憩时间来看,市民可以选择晴天进入街头绿地休闲,多云和雨后阴天尽量减少外出;从活动最佳地段来看,距离污染源55 m以上适宜休闲锻炼;从街头绿地的规划面积来看,半径以不小于55 m为宜。     

北京市地面街尘与径流中重金属的污染特征（Characteristics of Heavy Metals in Street Dusts and Urban Runoff in Beijing）

街尘作为城市各种污染物的载体和地表径流污染物的主要来源对水环境的影响日益受到关注.论文分析了北京市城区街尘与地表径流中重金属浓度和颗粒的粒径分布.结果表明:不同城市土地利用类型对街尘和径流中的重金属含量、颗粒粒径分布具有重要影响.在商业区、主要道路、住宅区、城中村4种土地利用类型中,街尘重金属浓度和地面单位面积重金属质量均以主要道路最高;径流重金属浓度由高到低顺序依次为:主要道路>城中村>居民区;主要道路和商业区街尘颗粒中细粒径占的比例较高,在全部土地利用类型的径流水样中颗粒物粒径分布差别不大;随着街尘中颗粒物粒径的减小,重金属浓度增加;街尘中小于149μm的颗粒物质量百分比和重金属浓度均较高,且在径流中这个粒径段的颗粒物含量也高,体积比达80%以上.建议在今后的城市街尘面源污染控制中应特别关注土地利用类型和街尘粒径的影响.     

街谷地区CO污染现状分析

本文分析了典型街谷地区ＣＯ污染的现状及其浓度的垂直分布和水平分布的变化情景。由监测结果可知,街谷地区ＣＯ浓度是较高的,而且峰值出现在采暖期。     

A building-based data capture and data mining technique for air quality assessment

Recently, a building-based air quality model system which can predict air quality in front of individual buildings along both sides of a road has been developed. Using the Macau Peninsula as a case study, this paper shows the advantages of building-based model system in data capture and data mining. Compared with the traditional grid-based model systems with input/output spatial resolutions of 1–2 km, the building-based approach can extract the street configuration and traffic data building by building and therefore, can capture the complex spatial variation of traffic emission, urban geometry, and air pollution. The non-homogeneous distribution of air pollution in the Macau Peninsula was modeled in a high-spatial resolution of 319 receptors·km^-2. The spatial relationship among air quality, traffic flow, and urban geometry in the historic urban area is investigated. The study shows that the building-based approach may open an innovative methodology in data mining of urban spatial data for environmental assessment. The results are particularly useful to urban planners when they need to consider the influences of urban form on street environment.     

Application of multivariate statistical analysis in the pollution and health risk of traffic-related heavy metals

This study aims to analyse the heavy metal pollutants in Jeddah, the second largest city in the Gulf Cooperation Council with a population exceeding 3.5 million, and many vehicles. Ninety-eight street dust samples were collected seasonally from the six major roads as well as the Jeddah Beach, and subsequently digested using modified Leeds Public Analyst method. The heavy metals (Fe, Zn, Mn, Cu, Cd, and Pb) were extracted from the ash using methyl isobutyl ketone as solvent extraction and eventually analysed by atomic absorption spectroscopy. Multivariate statistical techniques, principal component analysis (PCA), and hierarchical cluster analysis were applied to these data. Heavy metal concentrations were ranked according to the following descending order: Fe > Zn > Mn > Cu > Pb > Cd. In order to study the pollution and health risk from these heavy metals as well as estimating their effect on the environment, pollution indices, integrated pollution index, enrichment factor, daily dose average, hazard quotient, and hazard index were all analysed. The PCA showed high levels of Zn, Fe, and Cd in Al Kurnish road, while these elements were consistently detected on King Abdulaziz and Al Madina roads. The study indicates that high levels of Zn and Pb pollution were recorded for major roads in Jeddah. Six out of seven roads had high pollution indices. This study is the first step towards further investigations into current health problems in Jeddah, such as anaemia and asthma.