中重型柴油机满足欧Ⅲ排放法规的认识与对策

简介了欧Ⅲ排放检测标准和满足欧Ⅱ排放法规柴油机的排放达标措施,介绍了几种国外欧Ⅲ样机的排放测试结果,结合我国的实际情况提出了欧Ⅲ柴油机应采用的主要技术措施。     

Greenhouse gas emissions from ships in ports – Case studies in four continents

Emissions of GHG from the transport sector and how to reduce them are major challenges for policy makers. The purpose of this paper is to analyse the level of greenhouse gas (GHG) emissions from ships while in port based on annual data from Port of Gothenburg, Port of Long Beach, Port of Osaka and Sydney Ports. Port call statistics including IMO number, ship name, berth number and time spent at berth for each ship call, were provided by each participating port. The IMO numbers were used to match each port call to ship specifications from the IHS database Sea-web. All data were analysed with a model developed by the IVL Swedish Environmental Research Institute for the purpose of quantifying GHG emissions (as CO₂-equivalent) from ships in the port area. Emissions from five operational modes are summed in order to account for ship operations in the different traffic areas. The model estimates total GHG emissions of 150,000, 240,000, 97,000, and 95,000 tonnes CO₂ equivalents per year for Gothenburg, Long Beach, Osaka, and Sydney, respectively. Four important emission-reduction measures are discussed: reduced speed in fairway channels, on-shore power supply, reduced turnaround time at berth and alternative fuels. It is argued that the potential to reduce emissions in a port area depends on how often a ship revisits a port: there it in general is easier to implement measures for high-frequent liners. Ships that call 10 times or less contribute significantly to emissions in all ports.     

A comparative life-cycle energy and emissions analysis for intercity passenger transportation in the U.S. by aviation,intercity bus,and automobile

Intercity passenger trips constitute a significant source of energy consumption, greenhouse gas emissions, and criteria pollutant emissions. The most commonly used city-to-city modes in the United States include aircraft, intercity bus, and automobile. This study applies state-of-the-practice models to assess life-cycle fuel consumption and pollutant emissions for intercity trips via aircraft, intercity bus, and automobile. The analyses compare the fuel and emissions impacts of different travel mode scenarios for intercity trips ranging from 200 to 1600 km. Because these modes operate differently with respect to engine technology, fuel type, and vehicle capacity, the modeling techniques and modeling boundaries vary significantly across modes. For aviation systems, much of the energy and emissions are associated with auxiliary equipment activities, infrastructure power supply, and terminal activities, in addition to the vehicle operations between origin/destination. Furthermore, one should not ignore the embodied energy and initial emissions from the manufacturing of the vehicles, and the construction of airports, bus stations, highways and parking lots. Passenger loading factors and travel distances also significantly influence fuel and emissions results on a per-traveler basis. The results show intercity bus is generally the most fuel-efficient mode and produced the lowest per-passenger-trip emissions for the entire range of trip distances examined. Aviation is not a fuel-efficient mode for short trips (<500 km), primarily due to the large energy impacts associated with takeoff and landing, and to some extent from the emissions of ground support equipment associated with any trip distance. However, aviation is more energy efficient and produces less emissions per-passenger-trip than low-occupancy automobiles for trip distances longer than 700–800 km. This study will help inform policy makers and transportation system operators about how differently each intercity system perform across all activities, and provides a basis for future policies designed to encourage mode shifts by range of service. The estimation procedures used in this study can serve as a reference for future analyses of transportation scenarios.     

重庆市内河船舶污染物排放现状及LNG动力船舶推广效益分析

重庆地处长江上游经济带核心地区,水运发达,随着客货运量逐年增加,通行的内河船舶尾气排放严重影响港口及航道附近大气环境,已成为重庆大气污染的主要来源之一,颗粒物、NO_x的排放分别占重庆市总排放的4.3%、21.9%,SO_2占年排放的7.4%(14.8%。在大气环境问题日益严峻的情况下,LNG动力船舶因其可明显降低排气污染物,越发受到社会关注,对重庆市单LNG动力示范船舶尾气排放进行实测,对比柴油动力船舶,颗粒物、NO_x、SO_2减排显著,减排率分别达99.94%、72.69%、100%。因此,LNG动力船舶的推广表现出明显的环境效益,同时,综合分析了当前LNG动力船舶推广存在问题及困难。     

Toxic air pollutants and trucking productivity in the US

This paper introduces toxic air pollutants into the measurement of trucking productivity to obtain true productivity growth. Our results show that omitting or ignoring toxic air pollutants in measuring trucking productivity yields statistically significant biased productivity estimates in for 2002-2005. Trucking productivity growth was understated by the traditional productivity measure, because the latter did not account for reductions in truck air pollution over time. We also find that the difference between traditional and environmental efficiency scores was negligible, suggesting that environmental constraint did not distort efficiency in the trucking sector.     

内河船舶垃圾接收处理问题探析

水环境治理长期存在着"守法成本高、执法成本高、违法成本低"的两高一低现象,本文针对船舶垃圾污染物接收过程存在的问题进行简要分析,并提出了相关建议,认为需要采用多管齐下的方法,明确船舶垃圾交付相关管理规定和收费标准,提高对船舶垃圾交付的现场监管力度,并对船主从经济角度给予实惠和执法上给予警示。     

����·��ͨ���������ƵĻ�������Ⱦ�����ŷ������Ż��о�

随着城市机动车保有量的逐年增加,汽车尾气排放已成为许多大城市空气的主要污染源。以一氧化碳（CO）、氮氧化物（NOx）和碳氢化合物（HC）为评价因子,基于单车排放因子与车速之间的关系、交通流三参数的关系,建立了路段总排放量与车速、车型比例、交通量三个因素之间的数学模型。运用非线性规划理论,建立了以路段通行能力为主要约束条件,以污染物排放量最小为目标的最优化模型,以及求解算法。通过实例证明,通过调控路段上车型构成来调控实际交通量的大小,间接地调控行驶车速,进行排放量控制的方法是可行的。     

西北村镇集雨下垫面选择的试验研究*

采用设定的雨强、雨质作为试验条件,开展对4种下垫面情况下的模拟降雨实验。测定 CODMn、氨氮、总磷、浊度、UV254指标,得到试验结果如下：降雨径流污染物削减能力从小到大的下垫面为混凝土＜红泥瓦＜水泥土＜粘土砖;同一降雨强度下,集流效率从高到低排列是混凝土＞水泥土＞红泥瓦＞粘土砖。综合考虑集雨效率和对污染物的削减作用,水泥土较适合作为庭院式集流场的集雨材料。     

生物质垃圾与煤混烧污染特征的研究

对不同配比复合垃圾衍生燃料做实验试烧,并对燃烧产生的NOx、SO2等燃烧排放污染物进行了监测．利用扫描电镜（SEM）和能谱（EDX）结合联用技术观察了生物质垃圾与煤混合压制燃料的燃烧颗粒的微观形态特征．结果表明,随着生物质比例的加大,发现飞灰颗粒有细化的现象．CI元素的排放主要出现在燃烧初期．钾的主要存在形式是氯化钾．飞灰颗粒的所有能谱分析中并没有检测到重金属元素的存在．     

Quantifying the environmental impacts of increasing high occupancy vehicle lanes in the United States

To what extent will increasing High Occupancy Vehicle (HOV) lane-kilometer incentivize carpooling and reduce emissions of air pollutants and greenhouse gases? To answer these questions, we develop a multiple regression model relating HOV lanes and other socioeconomic factors to carpooling propensity in all 50 U.S. states and the District of Columbia, then calculate the extent to which increasing HOV lane-kilometers would lead to reductions in carbon dioxide equivalent (CO₂e) and major air pollutants across the U.S., by state. Increasing HOV lane extent has the greatest potential to reduce annual CO₂e in the District of Columbia, followed by Hawaii and New York. The smallest potential is found in states with the lowest population density, led by North Dakota. We then explore the extent to which recommendations made at one level of data aggregation (that of individual states) may be valid for another level, such as individual counties. The only state with sufficient data available to disaggregate the model to the county level is California, where we found a lower potential for state-wide CO₂e emission reductions under the county-level model as compared to the state-level model (0.69% as compared to 1.08%, under the same hypothetical scenario), albeit with significant differences in emission reduction potential between counties with higher vs. lower population densities. This analysis demonstrates the potential to generate generalizable insight into the magnitude of vehicle emission reductions that might be achieved through expanding HOV lanes, and highlights the importance of data disaggregation in identifying the optimal locations for potential reductions.