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。     

影响街区峡谷浓度扩散的因素

对街区峡谷内污染扩散规律的研究是城市空气质量预测的主要内容之一。应用现代流体力学数值模拟方法进行大量算例的计算和分析,研究了城市街区峡谷污染物二维扩散的规律。在分析二维街区峡谷内浓度扩散的规律时,发现对街区峡谷浓度扩散的两个影响因素,其中定量分析了湍流脉动对浓度扩散的影响,与层流时得到的浓度扩散进行了通量积分的比较;此外,定性分析了不同类型的街区峡谷对扩散的影响。     

街区污染物扩散的数值研究

对街区峡谷内交通污染扩散规律的研究是城市空气质量预测的主要内容之一。应用现代流体力学数值模拟方法进行大量算例的计算和分析,研究了城市街区峡谷污染物二维扩散的规律。包括比较各种条件下污染物的扩散浓度,考察来流风速、街区特征比例和日照等因素对扩散的影响,通过研究流场及湍流强度分析其扩散的动力学原因,为改进工程预测模式提供依据。     

街区交通污染物光化学反应及其自然通风稀释

随着城市化进程的加剧,汽车尾气在太阳辐射作用下发生光化学反应,生成的气态污染物NO_x会在街区中扩散造成环境污染,这也是光化学烟雾形成的重要环节.本文通过数值模拟的方法,将风洞实验对比验证典型高宽比1的街区峡谷模型计算的可靠性和准确性,再运用RNG k-ε湍流模型耦合NO_x化学反应模型进行数值计算,探究存在光化学反应下的气态污染物在城市六街区中的扩散迁移规律.结果发现,上游街区的光化学反应程度要大于下游街区,但是因为街区自身涡旋结构的流动以及自然通风的稀释作用会慢慢将生成气态污染物迁移到下游街区中,且气态污染物会在街区背风侧形成积聚达到一定的浓度后会沉积在整个街区中.     

土壤污染物运移轨迹模拟研究

研究土壤污染物的运移轨迹,可以掌握污染物在土壤中迁移的时空规律,为土壤环境质量评价及污染预测、污染防治提供科学的根据与途径,具有重要的理论和实际意义.本文以对流扩散传输理论为依据,建立了土壤环境下污染物运移的数学模型,然后基于COMSOL对几种特定初始及边界条件下的对流扩散问题进行数值模拟,计算了稳定连续、指数变化、瞬时释放三种典型污染源排放模型,并探讨模型中的一些因子对污染物浓度分布的影响,最后对污染物浓度分布的计算结果进行了相关分析.     

城市街道空气质量与道路绿化型式的关系

通过对街区中茂密行道树对空气污染物扩散的利弊进行理论分析的基础上，以CO为自然示踪气体，对西安市几个典型街道中的气态污染物浓度分布做了实测。实测结果指出，道路车流量的大小是行道树树冠的净化功能和对污染物扩散的阻碍作用所占权重的主要影响因素，行道树对污染物扩散的阻碍作用主要受控于树木郁闭度而非绿量，指出城市道路绿化不应盲目追求绿量的提高，并据此提出在街道绿化中应根据车流量的大小采取不同绿化方案的建议。     

被动加标在水生生态风险评价中的应用——以多氯联苯分配系数的测定为例

准确的水生生态风险评价需要可靠的毒性数据,而其获取要求在一定时间范围内,水体中污染物的浓度保持恒定。对疏水性有机污染物进行水体生物毒性测试时,通常采用有机溶剂加标,然而该方式可能因为污染物的挥发和降解、容器壁吸附、生物摄取等问题,水体中污染物浓度持续下降,导致污染物的浓度-效应关系难以明确。近期为了克服这些问题,被动加标用于替代溶剂加标,通过污染物在加标体系中平衡分配来维持精确和恒定的水体浓度,同时还可通过测定加标聚合物中污染物的浓度来监测水体浓度。首先介绍了被动加标方法及其材料选择,讨论了该方法在生态风险评价中的主要应用,包括分配系数的测定、体外细胞测试、体内生物积累及毒性测试,以及沉积物毒性评价等。然后,以测定代表污染物多氯联苯在聚二甲基硅氧烷与水间的分配系数为例,详细说明被动加标的操作流程。最后,讨论了被动加标方法的优缺点,并对其在水生生态风险中的应用前景进行了展望。     

污染场地修复过程挥发性有机物散逸规律及浓度分布分析

对污染场地修复过程挥发性有机物(VOCs)散逸及浓度分布进行了检测分析,通过光离子气体检测仪(PID)现场快速监测与采样管采样气相色谱质谱分析技术相结合的方式,进行了修复过程中VOCs散逸浓度检测,同时利用吹扫捕集法+色谱/质谱检测分析方法进行了VOCs污染场地内土壤中浓度检测.研究了VOCs在挖掘扰动过程中的散逸行为,并对气体中的VOCs浓度平面分布进行分析.结果表明,污染土壤中典型VOCs的散逸率整体上较高,对于该污染场地土壤特质,污染土壤扰动过程中,1,2-二氯乙烷散逸程度最高,苯散逸程度最低.VOCs浓度并不因距离增加而呈现明显负相关关系,污染物在扩散过程中会出现波峰波谷的现象.     

太原市城区大气SO2、TSP、NOx时空分布规律

通过对太原市城区具有代表性的不同功能区布点、采样、分析，得出太原市城区大气中主要污染物SO2、TSP、NOx在时间和空间上的分布规律。     

Evaluation of numerical simulations of CO2 transport in a city block with field measurements

Studying urban air-transport phenomena is highly complex, because of the heterogenous flow patterns that can arise. The main reason for these is the variable topology of urban areas, however, there is a large number of influencing variables such as meteorological conditions (e.g., wind situation, temperature) and anthropogenic factors such as traffic emissions. During a one-year CO₂ measurement campaign in the city of Basel, Switzerland, steep CO₂ gradients were measured around a large building. The concentration differences showed a strong dependency on the local flow regimes. Analysis of the field data alone did not provide a complete explanation for the mechanisms underlying the observed phenomena. The key numerical parameters were defined and the influence of turbulent kinetic energy dependency on the time interval for the Reynolds decomposition was studied. A Reynolds-Average Navier-Stokes Computational Fluid Dynamics (CFD) approach was applied in the study area and the CO₂ concentrations were simulated for six significant meteorological situations and compared to the measured data. Two flow regimes dependent on the wind situation, which either enhanced or suppressed the concentration of CO₂ in the street canyon, were identified. The enhancement of CO₂ in the street canyon led to a large difference in CO₂ concentration between the backyard- and street-sides of a building forming the one wall of the canyon. The specific characteristics of the flow patterns led to the identification of the processes determining the observed differences in CO₂ concentrations. The combined analysis of measurement and modeling showed the importance of reliable field measurements and CFD simulations with a high spatial resolution to assess transport mechanisms in urban areas.     

福州市行道树对交通污染物扩散的影响

选择福州市中心城区3种典型的行道树结构作为研究对象,以CO为交通污染物的示踪气体,分别对绿化带两侧,即道路中央和人行道上CO浓度的时空变化进行了测定,分析了道路中央CO浓度与人行道上CO浓度的差值ΔC。研究结果表明:不同结构的行道树对交通污染物扩散有显著影响。主干道低覆盖度结构,最有利于交通污染物扩散;主干道高覆盖度结构和支路结构,则不利于交通污染物的扩散,使大量污染物涌入人行道,对行人健康构成危害。交通污染物的扩散效果取决于树冠结构,通过对各道路树冠结构的研究发现,疏透度与覆盖度均较小时,扩散效果最好;疏透度较大、覆盖度也较大时,扩散效果最差。     

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.     

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.     

长江三角洲河网地区典型城镇街尘中多环芳烃的污染特征

街尘是一种重要的环境介质,其携带的污染物在城镇化过程中对河网地区的水环境构成了一定的威胁.为初步探讨长江三角洲河网地区典型街尘中多环芳烃(PAHs)的污染特征,以杭嘉湖平原河网地区饮用水水源河流上游典型小城镇的街尘为研究对象,对工业区、交通干道、旧居区、新居区和商业区5种土地利用类型的15个采样点进行街尘样品采集和粒径分级,测试街尘的密度、有机质含量以及16种U.S.EPA优控PAHs含量等指标.结果表明,粒径为<63、63～125、125～250和250～900μm街尘中总多环芳烃(∑PAHs)的平均含量分别为7261、5835、4660和2909μg·kg-1,粒径越小,PAHs含量越高,其生态风险越大.不同土地利用类型的街尘中PAHs的含量顺序依次为:工业区>交通干道>旧居区>新居区>商业区.街尘中PAHs和有机质含量存在显著正相关关系,且街尘粒径越小,有机质和PAHs的相关性越强.源解析结果表明,街尘中的PAHs多为燃烧源.     

城镇绿地对空气质量的影响--以中山市小榄镇为例

对中山市小榄镇公园、街道、居住区等不同地区的空气质量进行了测定．结果表明：公园、苗圃、金菊花园、镇府大院和小榄中学等绿化好、总绿量大的地带，CO2浓度[Ψ(CO2)／10^-6]和含菌量(n／m^-3)明显较低，负离子浓度明显较高；街道、新永路民居、商场、工厂、车站和果菜批发市场等绿化差、总绿量小的地带，Ψ(CO2)／10^-6和含菌量明显偏高，负离子浓度明显偏低．街道上空的Ψ(CO2)与车流量之间有极显著相关关系Ψ(CO2)与人流量之间相关关系不显著．     

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.