垃圾运输车智能监控管理系统

本产品是为解决垃圾运输车随意倾倒问题而开发的,它是一种新型智能化监控管理系统。它采用安装在运输车上的GPS接收机定位、测时,由车载车辆行迹记录仪数字化记录装载、运输、卸载的地点、时间等信息。经定期处理、完整、准确地反映出运输车工作过程,为管理部门对违规卸载车辆的科学取证提供了很好手段。     

塑料制品恶化生态环境

科学家指出：地球大气的主要成分——氮气,是以双原子形式存在,即“N2”,它是惰性无害的。但是从农田、燃烧化石‘燃料的工厂以及车辆尾气中释放的氮素则属于活性氮,能给环境和人类健康带来各种负面影响,主要为：     

城市交通噪声的统计特性

一、城市交通噪声的统计特性随着国民经济的发展,城市交通运输日益繁忙,机动车辆的数目增加的很快,交通噪声也越来越严重。交通噪声与一般工厂噪声不同,是一种不稳定的噪声。对某一个固定地点来说,交通噪声与附近经过车辆的种类、数量、车速和距离等有关;也和道路的宽窄建筑物的高低有关。由于因素复杂,偶然因素很多,因此噪声不断变化。国内外的研究结果表明,城市交通噪声的A声级的分布基本上符合正态(高斯)分布,正态分布可以表达为:     

大型城市客车加速模拟工况排放特性的实验研究

通过对258辆大型城市客车进行加速模拟工况排放测试,研究了城市客车的排放特性,比较了压缩天然气(CNG)车辆与汽油车辆的排放特性,分析了车辆车龄与排放的关系、发动机燃油供给方式与排放的关系,以及车辆总质量与排放的关系。研究结果表明：燃用CNG的车辆其CO、NOx排放较汽油低许多,尤其是CO,但HC排放较汽油高;电喷车辆的CO、NOx排放比化油器车低,但HC排放值高于化油器车;车龄增长,车辆的CO、NOx排放值增大,但HC变化不明显;车辆总质量增加,排放呈下降趋势。     

基于全生命周期法的矿用柴油重卡碳核算

矿用柴油重卡因工作任务量大和工作环境恶劣,导致其碳排放量巨大。从使用矿用柴油重卡的企业角度出发,采用全生命周期法,理清了矿用柴油重卡全生命周期各个阶段的碳排放量及影响碳排放的因素,建立了矿用柴油重卡碳核算模型。以内蒙古某煤矿4种柴油重卡为案例,对矿用柴油重卡全生命周期碳排放量进行了核算,分析了核算结果,并从车辆重量与经济性角度,分析比较了几种车辆的单位重量排放量和单位价格排放量。结果表明：矿用柴油重卡全生命周期碳排放量由车辆重量和燃料消耗量共同作用,其中燃料消耗量占绝大比重。综合考虑节能减排和经济性,重量为156 t和85 t的车辆是最佳选择,煤矿企业可适当提高该类车辆的占比。在保证工作量的情况下,将138 t和65 t车辆代替为156 t和85 t的车辆,全生命周期内可减少1.275×10⁵ t 的碳排放量,节省9 936.704 万元的花费。本研究结果可为重卡企业开展节能减排工作提供参考。     

人工湿地废水生态处理系统的作用机制

人工湿地废水生态处理新技术的高效去污能力基于独特而复杂的作用机制 ,其中最重要的是湿地基质、大型植物和微生物的高度协同作用。基质在为植物和微生物提供生长介质的同时 ,也能够通过沉淀、过滤和吸附等作用直接去除污染物。大型湿地植物既是微生物的“固定化载体” ,氧气的生产和运输“机器” ,同时还能够稳固湿地床表面 ,起到冬季保温和支撑冰面的作用。微生物是消除污染物的作用者 ,它能够在去除氮、磷等营养物的同时把有机质作为丰富的能源转化为营养物质和能量     

大气污染物在聚乙烯气袋中衰减规律的研究

在国外,用气袋采集空气样品已日益流行起来,它具有操作简便,易于携带运输,适应性强等特点,在野外作业,应急监测,尤其是北方冬季大气监测中,有着大气采样机无法比拟的优越性.     

滇中高原湖盆区农作物秸秆集中处理选址地理信息系统空间模拟研究——以星云湖盆区江川县为例

通过2016年江川县农作物的经济产量及草谷比系数估算得出秸秆产量,并结合2016年江川县第一次全国地理国情普查数据分析秸秆资源分布情况,基于地理信息系统(GIS)网络分析方法,采用最大化覆盖范围模型模拟出江川县6个秸秆集中处理位置,然后运用最小化阻抗模型实现再次优化布局。通过实地走访调查与实验分析,初步验证了6个集中收储位置的合理性,并同时获取实地运价标准,秸秆运输常用车辆类型、吨位、运价,分析各集中收储点的运输成本。结果表明:2016年江川县农作物经济产量、秸秆理论资源量、秸秆可收集量分别为425 230、122 512.80、87 798.08t;从收储规模和物流运输成本看,6个收储点的运输量总计为610 713.91km·t,运输成本总计为3 297 855.13元。研究方法与成果为将来实现农作物秸秆的规模化收集,存储位置选取及运输成本分析提供了重要参考依据。     

中国电子废物回收处理体系的生态效率分析

应用生态效率分析方法,以废弃台式电脑电源为例,对电子废物回收处理体系的2种不同策略进行模拟与比较,以探索适合我国国情的电子废物回收处理模式。其中环境效应的评价采用生命周期评价方法,经济价值采用生命周期成本分析方法。结果表明,以人力收集与人工拆解、元件再利用为特点的电子废物回收处理策略的生态效率要优于以机动车辆运输与破碎、分选处理相结合的策略。从生命周期阶段看,人力收集运输相比机动车辆收集运输模式,并不存在明显优势。但在处理处置阶段,人工拆解与元件再利用的模式生态效率更高。综合考虑,建议在收集运输阶段应鼓励     

香港实施改善空气质量新措施

据香港《信报》报道 ,香港政府日前宣布成立一个包括运输局、经济局、库务局、规划地政局、环境保护署及运输署官员在内的改善环境专责小组 ,这个高层专责小组将研究如何减低入境高污染柴油、柴油轻型货车的尾气排放及如何限制车辆增长及道路使用。小组的第一次会议通过了一系列改善香港空气素质的新措施 ,包括要求专利巴士采用超低含硫量的柴油 ,并拟以税务优惠促使柴油车主和司机转用低污染的汽油 ,小组计划的初期的目标是 2 0 0 0年底前有 80 0 0辆的士、 2 0 0 1年底前 1.8万辆的士全部转用石油气。当局目前已批出五块免地价地皮供石油…     

Development of a composite line source emission model for traffic interrupted microenvironments and its application in particle number emissions at a bus station

A composite line source emission (CLSE) model was developed to specifically quantify exposure levels and describe the spatial variability of vehicle emissions in traffic interrupted microenvironments. This model took into account the complexity of vehicle movements in the queue, as well as different emission rates relevant to various driving conditions (cruise, decelerate, idle and accelerate), and it utilised multi-representative segments to capture the accurate emission distribution for real vehicle flow. Hence, this model was able to quickly quantify the time spent in each segment within the considered zone, as well as the composition and position of the requisite segments based on the vehicle fleet information, which not only helped to quantify the enhanced emissions at critical locations, but it also helped to define the emission source distribution of the disrupted steady flow for further dispersion modelling. The model then was applied to estimate particle number emissions at a bi-directional bus station used by diesel and compressed natural gas fuelled buses. It was found that the acceleration distance was of critical importance when estimating particle number emission, since the highest emissions occurred in sections where most of the buses were accelerating and no significant increases were observed at locations where they idled. It was also shown that emissions at the front end of the platform were 43 times greater than at the rear of the platform. Although the CLSE model is intended to be applied in traffic management and transport analysis systems for the evaluation of exposure, as well as the simulation of vehicle emissions in traffic interrupted microenvironments, the bus station model can also be used for the input of initial source definitions in future dispersion models.     

At the Crossroads

ABSTRACT

Modeling transit bus emissions and fuel economy requires a large amount of experimental data over wide ranges of operational conditions. Chassis dynamometer tests are typically performed using representative driving cycles defined based on vehicle instantaneous speed as sequences of “microtrips”, which are intervals between consecutive vehicle stops. Overall significant parameters of the driving cycle, such as average speed, stops per mile, kinetic intensity, and others, are used as independent variables in the modeling process. Performing tests at all the necessary combinations of parameters is expensive and time consuming. In this paper, a methodology is proposed for building driving cycles at prescribed independent variable values using experimental data through the concatenation of “microtrips” isolated from a limited number of standard chassis dynamometer test cycles. The selection of the adequate “microtrips” is achieved through a customized evolutionary algorithm. The genetic representation uses microtrip definitions as genes. Specific mutation, crossover, and karyotype alteration operators have been defined. The Roulette-Wheel selection technique with elitist strategy drives the optimization process, which consists of minimizing the errors to desired overall cycle parameters. This utility is part of the Integrated Bus Information System developed at West Virginia University.

IMPLICATIONS It is expected that the paper will provide a useful tool for modeling and analysis of vehicle fuel economy and emissions and for the design, optimization, and analysis of driving cycles for testing and vehicle fleet management.     

Quantification of highway vehicle emissions hot spots based upon on-board measurements

The purpose of this study is to demonstrate a methodology for quantification of high emissions hot spots along roadways based upon real-world, on-road vehicle emissions measurements. An emissions hot spot is defined as a fixed location along a corridor in which the peak emissions are statistically significantly greater by more than a factor of 2 than the average emissions for free-flow or near free-flow conditions on the corridor. A portable instrument was used to measure on-road tailpipe emissions of carbon monoxide, nitric oxide, hydrocarbons, and carbon dioxide on a second-by-second basis during actual driving. Measurements were made for seven vehicles deployed on two primary arterial corridors. The ratio of average emissions at hot spots to the average emissions observed during a trip was as high as 25 for carbon monoxide, 5 for nitric oxide, and 3 for hydrocarbons. The relationships between hot spots and explanatory variables were investigated using graphical and statistical methods. Average speed, average acceleration, standard deviation of speed, percent of time spent in cruise mode, minimum speed, maximum acceleration, and maximum power have statistically significant associations with vehicle emissions and influence emissions hot spots. For example, stop-and-go traffic conditions that result in sudden changes in speed, and traffic patterns with high accelerations, are shown to generate hot spots. The implications of this work for future model development and applications to environmental management are discussed.     

Modeling In-Use Vehicle Emissions and the Effects of Inspection and Maintenance Programs

Different ways for modeling the impact of vehicle emission inspection and maintenance programs on fleet hydrocarbon emissions are examined. A dynamic model is developed for forecasting fleet emissions in which individual vehicle performance is modeled as a stochastic process and vehicle emissions are tracked over time. Emissions inspection and repair are incorporated into the model, allowing for the stochastic aspects of both testing and repair. This model is compared to EPA’s model for evaluating the impact of vehicle emissions inspection and maintenance. We find that the way vehicle emission equipment deterioration overtime is modeled is important for forecasting emissions from the fleet and for assessing the success of inspection and maintenance programs. For inspection programs, we find that factors such as the proportion of vehicles tested, and repair effectiveness and duration have the greatest impact on emission reductions. The ability of different emission testing regimes to identify polluting vehicles has less impact on a program’s overall potential for emissions reduction. Policy recommendations for I&M testing and predictions of emission reduction credits from these tests will depend in important ways on the methods used in the underlying emissions models.     

机动车尾气VOCs排放特征及减排措施研究

分析了机动车尾气挥发性有机物(VOCs)的排放特征,发现尾气VOCs排放具有明显的日变化和季节变化特征。不同区域不同车型机动车尾气VOCs成分谱略有差异,轻型汽油车尾气VOCs中芳香烃和烷烃含量较高,柴油车烷烃含量较高。尾气排放受机动车保有量、行驶里程、维护保养水平、行驶速度和燃油标准、排放标准等因素影响。从优先控制汽油车、加快机动车更新、采取本地化减排措施、加强多元管理措施、提高科研水平等方面提出了针对性的减排措施。     

Generation and management of waste electric vehicle batteries in China

With the increasing adoption of EVs (electric vehicles), a large number of waste EV LIBs (electric vehicle lithium-ion batteries) were generated in China. Statistics showed generation of waste EV LIBs in 2016 reached approximately 10,000 tons, and the amount of them would be growing rapidly in the future. In view of the deleterious effects of waste EV LIBs on the environment and the valuable energy storage capacity or materials that can be reused in them, China has started emphasizing the management, reuse, and recycling of them. This paper presented the generation trend of waste EV LIBs and focused on interrelated management development and experience in China. Based on the situation of waste EV LIBs management in China, existing problems were analyzed and summarized. Some recommendations were made for decision-making organs to use as valuable references to improve the management of waste EV LIBs and promote the sustainable development of EVs.     

Measurement of BTEX (benzene,toluene, ethybenzene,and xylene) levels at urban and semirural areas of Algiers City using passive air samplers

The study presents the levels of air pollution by aromatic organic compounds BTEX (benzene, toluene, ethylbenzene, o-, m-, and p-xylenes) in the city of Algiers. The sampling was carried out using Radiello passive sampler. Three sampling campaigns were carried out in roadside, tunnel, urban background, and semirural sites in Algiers. In order to determine the diurnal mean levels of air pollution by BTEX to which people are exposed, a modified passive sampler was used for the first time. In addition, monitoring of pollution inside vehicles was also made. In the spring of 2009, more than 27 samplings were carried out. In the background and road traffic sites the Radiello sampler was exposed for 7 days, whereas the time exposure was reduced to 1 day in the case of the vehicle as well as the tunnel. The results indicate that average benzene concentrations in the roadside and inside vehicle exceed largely the limit value of 5 μg m^?3 established by the European Community (EC). On the other hand, it has been noticed that the concentration levels of other BTEX are relatively high. Also, in order to identify the origin of emission sources, ratios and correlations between the BTEX species have been highlighted. This study shows that road traffic remains the main source of many local emission in Algiers.

Implications The vehicle fleet in Algeria is growing rapidly since the 1990s following economic growth and is responsible for the increasing air pollution in large cities. Because there are no data collection of BTEX carried out by national air quality network, all environmental and transportation policies are based on European emissions standards, but national emission standards are currently not in place. This work will contribute to the analysis of real emissions of BTEX in Algiers, for the development of management and for assessment of population exposure variation depending on the location in the city of Algiers.     

An empirical method for predicting exhaust emissions of regulated pollutants from future vehicle technologies

A methodology is presented for estimating emissions of passenger cars and light commercial vehicles complying with future European Union emission standards, which introduces appropriate reductions over the emission factors of existing vehicle technologies. For three-way catalyst gasoline vehicles, future real-world emissions are assumed to decrease by the same ratio as emission standards. Additionally, distinction is made between emissions during the thermally stabilised emission control system operation and emissions during the cold-start phase, where reductions are mainly due to the decreasing light-off time of future catalyst technologies. In case of diesel vehicles, some of the emission standards, such as 1993 CO, did not represent the actual emission level of vehicles at the time. Therefore, reductions brought over the 1993 emission factor are based both on relevant emission standards reductions and on technological considerations. In a second step, the derived emission factors are corrected to account for vehicle age and fuel quality effects. Vehicle age is introduced in the calculation via emission degradation functions of the total vehicle-accumulated mileage. The impact of improved fuels on the emissions of existing and future vehicle technologies is also modelled by applying correction factors depending on fuel specifications. A number of examples are given by applying the methodology on forecast activity data for different European countries to illustrate the expected effects of future vehicle technologies and fuels.     

Development of a microscale emission factor model for particulate matter for predicting real-time motor vehicle emissions

The U.S. Environmental Protection Agency's National Exposure Research Laboratory is pursuing a project to improve the methodology for modeling human exposure to motor vehicle emissions. The overall project goal is to develop improved methods for modeling the source through the air pathway to human exposure in significant exposure microenvironments. Current particulate matter (PM) emission models, particle emission factor model (used in the United States, except California) and motor vehicle emission factor model (used in California only), are suitable only for county-scale modeling and emission inventories. There is a need to develop a site-specific real-time emission factor model for PM emissions to support human exposure studies near roadways. A microscale emission factor model for predicting site-specific real-time motor vehicle PM (MicroFacPM) emissions for total suspended PM, PM less than 10 microm aerodynamic diameter, and PM less than 2.5 microm aerodynamic diameter has been developed. The algorithm used to calculate emission factors in MicroFacPM is disaggregated, and emission factors are calculated from a real-time fleet, rather than from a fleet-wide average estimated by a vehicle-miles-traveled weighting of the emission factors for different vehicle classes. MicroFacPM requires input information necessary to characterize the site-specific real-time fleet being modeled. Other variables required include average vehicle speed, time and day of the year, ambient temperature, and relative humidity.     

Comprehensive analysis of the carbon impacts of vehicle intelligent speed control

In recent years sophisticated technologies have been developed to control vehicle speed based on the type of road the vehicle is driven on using Global Positioning Systems and in-car technology that can alter the speed of the vehicle. While reducing the speed of road vehicles is primarily of interest from a safety perspective, vehicle speed is also an important determinant of vehicle emissions and thus these technologies can be expected to have impacts on a range of exhaust emissions. This work analyses the results from a very large, comprehensive field trial that used 20 instrumented vehicles with and without speed control driven almost 500,000 km measuring vehicle speed at 10 Hz. We develop individual vehicle modal emissions models for CO₂ for 30 Euro III and Euro IV cars at a 1-Hz time resolution. Generalized Additive Models were used to describe how emissions from individual vehicles vary depending on their driving conditions, taking account of variable interactions and time-lag effects. We quantify the impact that vehicle speed control has on-vehicle emissions of CO₂ by road type, fuel type and driver behaviour. Savings in CO₂ of ≈6% were found on average for motorway-type roads when mandatory speed control was used compared with base case conditions. For most other types of road, speed control has very little effect on emissions of CO₂ and in some cases can result in increased emissions for low-speed limit urban roads. We also find that there is on average a 20% difference in CO₂ emission between the lowest and highest emitting driver, which highlights the importance of driver behaviour in general as a means of reducing emissions of CO₂.