便携式质谱仪应用于交通干线苯系物污染特征分析

介绍了EcoSys-P便携式质谱仪在无车日前后对交通干线环境空气中苯系物现场监测中的情况,同时该方法与经典的气相-质谱联机进行了对比试验,相对偏差≤25%,能够满足交通干线环境空气苯系物的现场监测要求.     

New Metal Emission Patterns in Road Traffic Environments

The increased awareness of traffic as a major diffuse metal emission source emphasizes the need for more detailed information on the various traffic-related sources and how and where the metals are dispersed. In this study, metal emission patterns in the road traffic environment were examined from the perspective of different surrounding factors, e.g. the importance of intersections, deceleration, vehicle speed and traffic density. A total of 148 topsoil samples from 18 south Swedish roads were analysed (using GFAAS) for traffic-emitted metals, i.e. Cd, Cr, Cu, Ni, Pb, Sb and Zn. The roadside topsoil metal concentrations were used to examine correlations between metals and surrounding factors. The studied metals were divided into three groups corresponding to different emission sources: metals from decelerating activities (Cu, Sb and Zn), metals as historical residues from the combustion of petrol (Pb and Cd), and non-source-specific metals (Cr and Ni). It was found that Cu and Sb, despite their rather short history as traffic-emitted metals, have increased more than eightfold in roadside soils compared to background levels. The major source of road traffic related Cu and Sb is brake linings. The significant increase of Cu and Sb in roadside topsoil stresses the need for metal transport studies as well as effect studies of these metals. Metals emitted due to decelerating activities were not correlated to elevated concentrations near road junctions. Emission patterns of traffic-related metals alongside roads are crucial in order to be able to evaluate the optimal localization of storm water treatment ponds.     

在评价微污染水体中均值污染指数评价方法和活性污染指数评价方法的比较

针对均值污染指数评价方法在微污染水体环境质量评价上存在的缺陷,提出新的改进方法即活性污染指数法进行评价.根据吉林省白城市月亮湖水库2001～2005年监测结果,同时利用这两种方法进行评价,结果显示活性污染指数法评价白城市水库水质更客观和真实有效.     

上海市交通干道空气中苯系物冬季污染特征初探

2004年冬季对上海市交通干道附近空气中苯系物的浓度水平进行了监测,并采用气相色谱法进行分析。结果表明,采样期间大气中苯、甲苯、乙苯、二甲苯的浓度分别为1.77~27.7μg/m3、7.29~195μg/m3、3.11~40.2μg/m3、4.49~82.4μg/m3。每日6:30~9:30和15:30~19:00两个时段苯系物的浓度要高于中午时间的浓度,与国内其他城市相比,上海市甲苯的浓度要高,浓度水平要远远高于国外城市的测定结果。苯系物的浓度受风速和风向影响较大。提出了制订空气中苯系物的排污清单和加强机动车尾气中苯系物控制的建议。     

杭州市交通干线空气中挥发性有机物研究

研究了杭州市四季交通干线空气中挥发性有机物分布和浓度特征,得出汽车尾气是市区交通干线空气中挥发性有机物的主要污染来源,且有机物浓度与交通干线繁忙程度成正比,杭州市交通干线空气中挥发性有机物污染以春季最为严重,秋季最轻。     

Air Quality Assessment And Control Of Emission Rates

Mathematical methods based on the adjoint model approach are given for the air-pollution estimation and control in an urban region. A simple advection–diffusion-reaction model and its adjoint are used to illustrate the application of the methods. Dual pollution concentration estimates in ecologically important zones are derived and used to develop two non-optimal strategies and one optimal strategy for controlling the emission rates of enterprises. A linear convex combination of these strategies represents a new sufficient strategy. A method for detecting the enterprises, which violate the emission rates prescribed by a control, is given. A method for determining an optimal position for a new enterprise in the region is also described.     

Examining the Factors Affecting Air Pollution Emission Growth in China

In this study, a structural decomposition method was applied to research the factors affecting the changes in air pollution emissions in China. Based on 1995–2009 data from the World IO Database, we combine China’s (Import) Noncompetitive IO Table and the Environmental Account Table. The results indicate that emission intensities represent the most important factor for reducing air pollution emissions in China. In contrast, economies of scale and the intermediate input product structure constitute the major causes for acceleration in the growth of air pollution emissions in China. From the perspective of final demand, the economic scale effect caused by investment demand is the main reason for this accelerated growth in China’s air pollution emissions in recent years. Consumption-driven economic growth is cleaner, while investment-driven economic growth is dirtier. This study constructed a structure decomposition model based on the input-output tables, which is suitable for studying the driving forces of various economic indicators, such as energy, carbon dioxide, and economic growth. At the same time, this method is helpful for analyzing the factors that influence changes in economic indicators that result from different economic pull modes, such as the final demand mode. However, the model does have limitations; for example, it does not consider the difference between general trade and processing trade in exports.     

北京市交通环境监测点大气污染特征分析

研究分析了2013—2017年北京市交通环境点位大气污染物浓度分布特征,结果发现:交通监测点NO、NO_2与PM_(2.5)浓度时间变化特征与城区总体状况基本一致,与交通环境密切相关的NO_2浓度采暖季高于非采暖季,重污染日期间交通监测点峰值浓度也明显偏高;周末交通监测点NO浓度在5:00—23:00低于工作日4.9%～32.1%,周末NO_2浓度在7:00—23:00低于工作日0.7%～7.4%,NO_x浓度周末偏低与车流量降低密切相关;重大活动期间空气质量减排措施实施后,北京市作为区域NO_2浓度高值区中心明显消失,PM_(2.5)浓度分布梯度减小,本地减排效果明显。     

经济手段防治白色污染的博弈分析

经济手段在环境管理中的作用及涉及到政府与各利益关系人之间的博弈过程。本文就政府与一次性餐具生产者，销售者之间的博弈关系，分析如何应用经济手段使其在防治“白色污染”中发挥更好的作用。     

The Impact of Road Traffic in Madrid Community by Using a Nested Gaussian-Mesoscale Air Quality Model (GAMA)

In this contribution we show the integration of a mesoscale air quality model OPANA with the ISCST3 Gaussian model (EPA) in order to analyze the impact of different emission sources and particularly the traffic emission into the different gridboxes which define the OPANA Eulerian structure. The application is done over the Madrid (Spain) regional area with 80 × 100 km and gridboxes of about 5 km. Thousands of Gaussian runs over interested gridboxes are executed in order to simulate the traffic emissions from each gridbox. Each mobile unit is represented by a Gaussian point emitter. Input meteorological variables for the ISCST3 are taken from the OPANA mesoscale air quality model. Results shows that it is possible to model the impact of traffic emissions over each gridbox. A short comparison with air quality monitoring in each gridbox is also shown.     

Monitoring and Assessment of Exhaust Emission in Bangkok Street Air

Measurement of the exhaust emission from gasoline-powered motor vehicles in Bangkok were performed on chassis dynamometer. A fleet of 10 vehicles of different model, years and manufacturers were selected to measure the air pollutants in the exhaust effluent. The study revealed that the carbon monoxide and hydrocarbon emissions averaged 32.3–64.2 and 1.82–2.98 g km^–1, respectively, for 1990–1992 cars and decreased to 17.8–40.71 and 0.75–1.88 g km^–1, respectively, for 1994–1995 cars. A monitoring program for air pollutant concentrations in ambient air was also conducted to evaluate the air pollution problems in Bangkok arising from vehicle exhaust emission. Four air sampling stations were strategically established to cover the Bangkok Metropolitan Region (BMR). Composite air samples in this study area were collected during the day/night times and weekday/weekend. The average concentrations of suspended particulate matter, carbon monoxide, and nitrogen dioxide in Bangkok street air were found to be 0.65 mg/m³ (24 hr ave.), 19.02 mg/m³ (8 hr ave.) and 0.021 mg/m³ (1 hr ave.), respectively. The average concentrations of benzene and toluene in the ambient air of the study area were found to be 15.07–50.20 and 25.76–130.95 g/mf³, respectively, for 8 hr average. These results indicated that there was a significant increase in air pollutant emissions with increasing car mileage and model year. Subsequent analysis of data showed that there were only 20% of the test vehicles complied to approved emission standard. The finding also revealed that there was a correlation between the average air pollutant concentrations with average traffic speed in each traffic zone of the Bangkok Metropolitan Region (BMR).     

An Evaluation of Microscopic Emission Models for Traffic Pollution Simulation Using On-board Measurement

As a result of the continuously increasing numbers of motor vehicles in metropolitan areas worldwide, road traffic emission levels have been recognized as a challenge during the planning and management of transportation. Experiments were conducted to collect on-road emission data using portable emission measurement systems in two Chinese cities in order to estimate real traffic emissions and energy consumption levels and to build computational models for operational transport environment projects. In total, dynamic pollutant emissions and fuel consumption levels from dozens of light duty vehicles, primarily from four different vehicle classes, were measured at a second-by-second level. Using the collected data, several microscopic emission models including CMEM, VT-Micro, EMIT, and POLY were evaluated and compared through calibration and validation procedures. Non-linear optimization methods are applied for the calibration of the CMEM and EMIT models. Numerical results show that the models can realize performance levels close to the CMEM model in most cases. The VT-Micro model shows advantages in its unanimous performance and ability to describe low emission profiles while the EMIT model has a clear physics basis and a simple model structure. Both of them can be applied when extensive emission computation is required in estimating environmental impacts resulting from dynamic road traffic.     

化学物质对室内空气的污染

随着国内人民生活水平的提高,百姓对居室内标准的要求越来越高。装修材料含有一定的有害化学物质,可使室内不同程度地受其污染,直接影响居民的身体健康,这已引起各发达国家和国内有关部门的重视。文章主要就室内化学物质的来源、种类、污染现状和对人体健康的影响作了简要概述,同时还介绍了室内空气中化学物质的简易测试方法。     

上海城区交通干道苯系物污染初探

利用设置在上海市中心城区交通主干道旁的路边空气质量自动监测站2018年1—12月的连续观测数据,研究苯系物(BTEX)污染水平、变化特征以及其与CO、NO x和气象参数的关系。结果表明,观测期间BTEX小时均值为0.10~169.38μg/m^3,年均值为(13.66±0.14)μg/m^3,甲苯占比最高。ρ(BTEX)受污染源排放强度和天气状况的影响大,其日变化呈单谷型,冬季值比夏季高。BTEX各化合物具有较好的同源性,ρ(苯)/ρ(甲苯)为(0.49±0.01)。BTEX与机动车尾气主要成分CO、NOx呈正相关,与风速负相关。其值低于北京、南京、郑州、杭州和西安等城市。     

化学物质对室内空气的污染(续前)

随着国内人民生活水平的提高,百姓对居室内装修标准的要求越来越高。装修材料含有一定的有害化学物质,可使室内不同程度地受其污染,直接影响居民的身体健康,这已引起各发达国家和国内有关部门的重视。文章主要就室内化学物质的来源、种类、污染现状和对人体健康的影响作了简要概述,同时还介绍了室内空气中化学物质的简易测试方法。     

徐州市钢铁企业大气污染影响评估

利用徐州市钢铁行业高分辨率排放清单,采用空气质量模式WRF-CALPUFF模拟并分析2017年徐州市钢铁行业大气污染物在冬、夏季对大气国控站点空气质量的贡献。结果表明,2017年徐州市钢铁企业排放主要大气污染物对大气国控点的ρ(PM2. 5)贡献最大达到10. 80μg/m3,对桃园路、铜山兽医院影响较大,其中一家企业的ρ(PM2. 5)贡献值就占了14家钢铁企业总贡献值的44. 33%;冬季的ρ(PM2. 5)贡献值总体上高于夏季,但不同钢铁企业在夏季和冬季对空气质量造成的影响存在一定的差异性,其中有5家企业在冬季的ρ(PM2. 5)贡献值明显高于夏季,而有2家企业的ρ(PM2. 5)贡献值在夏季高于冬季。     

成都市地表灰尘重金属污染分布特征及健康风险评价

对成都市中心城区娱乐区、居民区、商业区和城市广场等日常活动区域代表点的地表灰尘中的重金属进行监测,分析其污染分布特征,并应用美国EPA人体暴露风险评价方法对地表灰尘进行了健康风险评价。结果表明,研究区域地表灰尘重金属污染较为严重,Pb、Zn、Cu、Ni、Cr、Cd的平均含量分别为成都市土壤背景值的1.18~77.57倍,其中Cd的富集因子大于10,污染极强且富集在颗粒物中。暴露模型计算表明,重金属慢性每日平均暴露量为手-口摄入量皮肤吸收量吸入空气量,经手-口接触行为是人体地表灰尘暴露风险的主要途径。儿童重金属非致癌风险CrPbCdCuZnNi,成人重金属非致癌风险PbCrCdCuZnNi,且均小于非致癌风险阈值1,不会对城市人群造成明显伤害。重金属致癌风险CrCdNi,均低于致癌风险阈值,表明不具有致癌风险,但潜在生态危害值得重视。     

机场大气污染物高时间分辨率排放清单计算方法研究

通过研究机场大气污染物排放特征,结合我国相关排放政策及规范,以排放因子法为主要方法,设计了可建立机场高时间分辨率大气污染物排放清单的计算方法,以期为机场大气污染物排放实时监管提供研究基础。该方法针对飞机发动机和地面保障设备(GSE),实现了颗粒物、二氧化硫、氮氧化物等大气污染物和温室气体的半小时级别排放量计算。通过收集整理北京首都国际机场日航班计划与GSE运作情况实际数据,计算并建立了高时间分辨率的排放清单,验证了计算方法的可行性。随后,从活动水平误差和排放因子适用性两方面,对清单进行了不确定性分析,并通过计算结果对机场排放特征进行了分析,提出了减排建议。     

Assessment of Traffic Noise Pollution from 1989 to 2003 in Lanzhou City

On the basis of the continuous traffic noise data observed at 142 sites distributed in 52 roads from 1989 to 2003, the characteristics of traffic noise and effect factors were analyzed through traffic noise indices, such as Lep, L10, L50, L90, TNI, and Pn. Our findings allow us to reach a number of conclusions as follows: Firstly, traffic noise pollution was serious, and its fluctuant characteristic was obvious, resulting in a great intrusion to public in Lanzhou City during last 15 years. Secondly, traffic noise made a distinction between trunk lines and secondary lines, west-east direction roads and north-south direction roads. Thirdly, spatial character and time rule of traffic noise were obvious. In addition, traffic volume, traffic composition, road condition, and traffic management were identified as the key factors influencing traffic noise in this city.     

The Comparison of Lagrangian and Gaussian Models in Predicting of Air Pollution Emission Using Experimental Study,a Case Study: Ammonia Emission

Ammonia, as a colorless gas with a sharp odor, is considered as one of the created odors in the composting and landfill of solid waste. We used experimental data to study the robustness of AERMOD and the forward Lagrangian stochastic (FLS) in predicting ammonia emission in short range. The study area was Kahrizak landfill and composting plants, Tehran, Iran. The boundary layer parameters for the FLS were calculated on the basis of mean values of temperature, wind speed, and direction. While, the boundary layers of AERMOD were computed on the basis of exact meteorological data. The results depicted that AERMOD prediction at distances less than 1000 m from the sources and the locations inside the sources were poor. However, the results of FLS indicated more agreement with the field measurement, which the coefficient of determination was 0.83. Both models predicted, in the distance of 2000 m from the source, the ammonia concentration would be insignificant.