南京市机动车排气污染控制和管理对策

简述了南京市机动车排气污染控制和管理对策。对新机动车排气控制实施了新车上牌的环保注册登记目录制，鼓励生产厂家采用先进的排放控制技术，达到国家制定的排放控制目标和排放标准；对在用机动车排气控制实施检测／维护(I／M)制度，对尾气排放不达标车辆进行正常的维修和保养，保证其发动机处于正常技术状况；对高排放污染机动车辆，安装尾气净化装置，以改善机动车排放水平。定期检测中各类型车辆维护前后排气污染物削减结果表明，85％的高排放污染车辆能达标，且CO的削减率最高，达50％左右；定期检测中各类型车辆安装机内净化器前后排气污染物削减结果表明，二次补气机内净化器对CO的净化率为22．5％～30．0％，对HC的净化率为9．7％～30．0％；高能电子点火机内净化器对CO的净化率为5．4％～22．2％，对HC的净化率为17．2％～30．8％。不定期检测中，一些高排放污染车辆安装三元催化反应器后，其净化率可达80％～90％。     

南京市机动车排气污染现状分析

阐述了南京市机动车发展现状、道路交通现状和机动车污染监测情况，对机动车排放因子、机动车污染、交通干线的污染物日排放特征、机动车源排放污染物的分担率以及机动车尾气污染物排放进行了分析和预测。指出南京市机动车污染状况必须采取有效措施加以控制，并提出了贯彻机动车尾气控制标准，完善污染控制管理机制；重点控制公交、出租和专业物流的机动车污染；严格控制车用油品质量；建立车辆污染数据库；加快道路建设，运用交通综合管理制度削减污染；实施保护区和控制区管理以及实施机动车标志管理等合理化建议。     

江苏省机动车“天地车人”一体化监控系统建设研究

构建江苏省“天地车人”一体化监控系统,利用道路遥感监测、定期排放检验、路检路查和停放地监督抽测、重型柴油车远程排放监控等手段发现高排放车辆,通过系统检测与维护(I/M)制度,对机动车进行全天候、全方位实时监控及闭环管理,同时开展非道路移动机械的登记和管理,并对5000 t以上的加油站进行油气回收在线监控。通过大数据分析开展机动车排放数据的深入挖掘,以期为重污染天气的应急管理及政府决策提供有效技术支撑。     

基于车载远程监控的重型柴油车NOx排放评估方法研究

对某重型车的实际道路行驶过程中远程排放监控的NOx数据和PEMS设备测试数据对比分析。结果表明，两者的一致性较好，远程监控的NOx数据用于表征车辆实际道路的NOx排放特征具备可信性和可行性。基于远程排放监控数据，使用短行程重构PEMS法，建立车辆工况曲线重构方法和基于功基窗口法的排放评估模型，对车辆在实际道路上的排放进行评估计算，并与PEMS测试结果对比验证。研究结果表明，该短行程重构模型能有效识别车辆排放变化和超标情况，可以作为国六标准在用重型车NOx排放监控的新方法和手段。     

高架复合道路交通噪声时空分布规律研究

通过对杭州市典型高架复合道路交通噪声监测，研究高架复合道路交通噪声的时空分布规律。结果表明，噪声与车流量、车辆类型及车速密切相关；噪声随着与高架路距离的增大，地面各测点的噪声值呈递减趋势；高架复合道路平直段与下坡路段的噪声在临街建筑竖直立面的分布规律基本一致，但在不同高度的影响程度上存在一定差异。     

机动车尾气对南京市道路环境空气质量的影响

调查 了南京市机动车尾气对道路环境污染的状况，分析了城市道路建设对空气质量的影响。指出，从1991年以来，南京市机动车总量和道路车流量持续快速增长，但由于城市道路条件的改善，道路通行能力有了较大的提高，道路两侧污染物NOx,CO浓度均有所下降，但仍分别高于对照点2.2倍、3.2倍，道路汽车排气对城市环境空气质量的影响不容忽视。提出，随着道路车流量的不断增加，要改善城市环境空气质量，必须推广清洁燃料以及低污染车和零污染车，同时进一步加强道路建设，提高车辆通行能力，增加植树绿化。     

全面建立机动车排气污染监管体系探讨

对南京市机动车排气污染监督管理工作进行了分析，指出了存在的问题，设计了未来监督管理工作的思路。提出对机动车排气污染监管要构建完整的监管体系，重在对部门的监管；加强车辆使用全过程污染防治监管，建立对各级机动车维修企业尾气治理行为的监管制度；启用严格的排放标准和检测手段，全面控制机动车排气污染。     

长三角典型城市公交车实际道路细颗粒物排放测试

为研究长三角典型城市公交车细颗粒物排放特征，采用便携式排放测试系统（PEMS），对上海、杭州和苏州三大城市的8辆典型城市公交车开展实际道路细颗粒物排放实验。研究结果表明：长三角典型城市车辆的实际道路平均车速为22.7 km/h，怠速比例为20.4%，加减速比例为54.5%；在稳态行驶工况下，随车速增大，公交车颗粒物质量及数量排放呈逐渐增大趋势；在20 km/h车速范围内，上海国III、国IV和苏州国III公交车颗粒数浓度呈双峰粒径分布，其他公交车均为单峰分布；随比功率的增大，公交车颗粒质量呈逐渐增大的趋势，国IV公交车颗粒数量呈先下降再增大趋势，国III公交车颗粒数量呈上升趋势；公交车颗粒质量综合排放因子为0.8~189 mg/km，颗粒数量综合排放因子为6.2×10¹²~9.6×10¹⁴#/km。     

城市机动车尾气排放及道路扩散模式综述

综述了国内外机动车排放因子模型，基于开阔型、交叉路口型和城市峡谷型3类城市典型交通道路，探讨了各种机动车尾气扩散模式的优缺点和适用性。提出今后的研究重点是利用城市生态系统中的植物群落对汽车排放污染物扩散的阻碍和吸附，探索绿化植物对机动车尾气污染扩散的阻散特征；加强CFD软件在城市道路空气质量研究领域的应用；在GIS平台下，结合扩散模式开发环境综合管理系统。     

基于交通信息的道路机动车排放NO_x模拟研究

以上海内环区域高架道路和地面主干道路的交通信息为基础,基于路段的机动车动态排放清单并利用ADMSUrban模型模拟NO_x扩散变化。结果表明:道路车流以轻型客车为主,分别占高架路、主干路的77%和60%;1 139条路段工作日平均车流量为95万辆/h,车速为37.5 km/h;NO_x小时排放量为127 kg/h~2 019 kg/h,日排放量为25.8 t,重型客车NO_x排放量为道路机动车排放NO_x的主要来源;模拟NO_x质量浓度占环境空气比例为6.6%~73.4%,2:00 NO_x质量浓度最低,8:00最高,与交通密度低谷和峰值同步。     

Development of real-world driving cycles and estimation of emission factors for in-use light-duty gasoline vehicles in urban areas

This investigation adopts vehicle tracking manner to establish real-world driving patterns and estimates emission factors with dynamometers with 23 traffic-driving variables for 384 in-use light-duty passenger vehicles during non-rush hour. Adequate numbers of driving variables were decided with factor analysis and cluster analysis. The dynamometer tests were performed on FTP75 cycle and five local driving cycles derived from real-world speed profiles. Results presented that local driving cycles and FTP75 cycle were completely different in driving characteristic parameters of typical driving cycles and emission factors. The highest values of emission factor ratios of local driving cycle and FTP75 cycle for CO, NMHC, NO _x , CH₄, and CO₂ were 1.38, 1.65, 1.58, 1.39, and 1.14, respectively.     

Emission Factors Determination of Euro III 1,200- to 1,400-cc Petrol Passenger Cars with a PLS Multivariate Regression Model

This paper presents emission factors of a class of passenger cars obtained by applying a statistical model developed to evaluate average emission factors based on driving cycle emission measurements. A multivariate regression method based on principal components, namely, the partial least squares (PLS) method, is applied to calculate the model. The method was applied to emission data from a sample of petrol Euro III 1,200- to 1,400-cc passenger cars taken from the ARTEMIS database. A vehicle effect analysis showed that vehicle effect is considerable, in some cases comparable to or greater than the driving cycle effect. Determination of emission factors is obviously affected by these aspects. Thus, the CO2 PLS model fit results are good, CO, HC and NOX more or less sufficient. PLS-predicted quantities were compared with corresponding quantities estimated by a multiple regression model (GLM) based on a quadratic polynomial equation of sub-cycle overall mean speed. GLM goodness of fit was poorer than PLS ones. A validation effort of models is in progress, which is considering the ARTEMIS database extended with tests performed within other national or international projects. In this way, an extended population of combinations of vehicles and driving cycles will provide a better calculation of models and emission factors.     

佛山市交通CO2排放及低碳出行对策

以佛山市2012年数据为基础,结合COPERT模型,分析了车型种类、排气量、燃油类型、排放水平等对CO2排放因子的影响规律,探讨了不同车型组成与排放水平下的CO2排放分担率,讨论并评估了佛山市的低碳交通出行对策。结果表明:排放水平对CO2排放因子的影响不明显,除重型客车与公交车,燃油类型对CO2排放因子的影响亦不明显,各车型的CO2排放因子随着排气量的增加而增加;当佛山市机动车平均行驶速度提高至55 km/h时,每辆车CO2综合排放因子可达最小值125.73 g/km;轻型客车和摩托车的CO2排放量最大,分别为1469 493 t/a和394 174.3 t/a,分担率分别为52.1%和14.0%;不同排放水平的载客车CO2排放分担率从大到小排序依次为:国I国0国Ⅱ国Ⅲ国Ⅳ,分别为34.7%、22.0%、21.2%、17.5%及4.6%。     

Application and Quality Assessment of an Instantaneous Vehicle Emission Model at Fleet Level

A developed instantaneous emission model is applied to predict emission factors for small vehicle fleets for quality assessment. Extensive vehicle measurements of pre-Euro-1 gasoline, Euro-3 gasoline, and Euro-2 diesel vehicles are available. The data were used to develop individual vehicle emission models for each car. The prediction quality for each vehicle category was determined by averaging the results obtained from the individual vehicle models. The results show that the prediction quality is improved in comparison with the individual vehicles, even with a small number of vehicles in a specific category. This indicates that the errors in the individual models are mainly random and that prediction quality, when applied to fleets of cars, is exceptionally high.     

New research assessing the effect of engine operating conditions on regulated emissions of a 4-stroke motorcycle by test bench measurements

In the latest years the effect of powered two-wheelers on air polluting emissions is generally noteworthy all over the world, notwithstanding advances in internal combustion engines allowed to reduce considerably both fuel consumption and exhaust emissions of SI engines. Nowadays, in fact, these vehicles represent common means of quotidian moving, serving to meet daily urban transport necessities with a significant environmental impact on air quality. Besides, the emissive behavior of the two-wheelers measured under fixed legislative driving standards (and not on the local driving conditions) might not be sufficiently representative of real world motorcycle riding.The purpose of this investigation is a deeper research on emissive levels of in-use motorcycles equipped with last generation SI engines under real world driving behavior. In order to analyze the effect of vehicle instantaneous speed and acceleration on emissive behavior, instantaneous emissions of CO, HC and NO_X were measured in the exhaust of a four-stroke motorcycle, equipped with a three-way catalyst and belonging to the Euro-3 legislative category. Experimental tests were executed on a chassis dynamometer bench in the laboratories of the National Research Council (Italy), during the Type Approval test cycle, at constant speed and under real-world driving cycles. This analytical-experimental investigation was executed with a methodology that improves vehicles emission assessment in comparison with the modeling approaches that are based on fixed legislative driving standards. The statistical processing results so obtained are very useful also in order to improve the database of emission models commonly used for estimating emissions from road transport sector, then they can be used to evaluate the environmental impact of last generation medium-size motorcycles under real driving behaviors.     

An evaluation of improvements in the air quality of Beijing arising from the use of new vehicle emission standards

An innovative approach of mean emission by vehicle type was used in this paper to assess the impact of new vehicle emission standards in Beijing, China during the period of 2000–2005. It was found that CO and NO_x emissions decreased by 48% and 23%, respectively, from Type O (before 2000) to Type I (year 2000) vehicles. The reductions from Type O to Type II (year 2002) vehicles were 85% and 73% for CO and NO_x, respectively. When all three types of vehicles (Types O, I and II) are combined, the annual per vehicle CO emissions decreased from 586 kg per vehicle per year in 2000 to 324 kg per vehicle per year in 2005, while that of NO_x decreased from 66.9 to 43.4 kg per vehicle per year, which was mainly resulted from the impact of stringent new vehicle emission standards implemented in years 2000 and 2002. However, the vehicle population increased by 70% during the same time period, which offset the impact of cleaner vehicles. Thus, the total vehicle emission decreased little for CO (885,000 tons in 2000, 837,000 tons in 2005) and even increased slightly for NO_x (101,000 and 112,000 tons in 2000 and 2005, respectively). The ambient concentrations of CO decreased significantly throughout 2000–2005, the same trend was not observed for NO₂. Correlation analysis (grey correlation and Pearson correlation) between the annual vehicle emissions and annual concentrations of CO, the annual NO_x emission and annual NO₂ concentration indicated that the implementation of new vehicle emission standards was associated with the abatement of ambient CO and NO₂ concentrations in Beijing.     

2020年江苏省机动车排放污染分布特征及与大气质量耦合性研究

依据生态环境部2021年6月发布的《排放源统计调查产排污核算方法和系数手册》,结合本地实测数据,在对汽油车颗粒物(PM)排放系数进行测算的基础上,核算了2020年江苏省机动车PM、氮氧化物(NO_(X))、挥发性有机物(VOC_(S))的排放总量,分析了机动车排放污染分布特征及与大气质量的耦合关系。结果表明:2020年江苏省机动车PM、NO_(X)、VOC_(S)排放量分别为0.5×10^(4),3.71×10^(5),1.17×10^(5) t。从区域分布来看,苏州、南京、无锡3市的3项污染物排放总量及NO_(X)、VOC_(S)排放量均位列前3位,PM排放量位列前3位的是苏州、徐州、无锡。从车型、燃料类型和排放阶段来看,国Ⅳ及以下排放标准的汽油小型客车是机动车VOC_(S)排放控制的重点,国Ⅲ排放标准的重型柴油货车是机动车PM和NO_(X)排放控制的重点。分析区域机动车PM排放量与大气中PM_(2.5)来源解析结果的耦合关系,其间存在不同程度的正相关性,控制机动车污染对改善大气环境会产生积极成效,南京、徐州和盐城3市的成效会尤为明显。     

广州白云国际机场飞机大气污染物排放分析

根据收集到的2008-2012年广州白云国际机场航班起降次数，参考《珠江三角洲非道路移动源排放清单开发》飞机污染物估算方法及排放因子，计算出此期间机场飞机大气污染物排放量，并与2010-2012年广州市机动车污染物排放情况对比。结果表明：飞机大气污染物排放量随客运量的增长呈逐年上升趋势，而与机动车排放相比，飞机大气污染物排放量较小，故现阶段仍应以机动车作为移动源污染控制的重点。     

上海市机动车污染实时排放预警系统设计与应用

研究上海市机动车污染的动态排放测算和网格化动态排放清单构建,在实时的交通数据和交通环境监测数据的基础上,结合交通模型、机动车排放清单模型等业务模型和算法,依托大数据存储、可视化和GIS等技术,开发了上海市机动车污染物实时排放预警系统,实现了上海市全市道路的机动车动态排放测算、交通环境政策实施情景模拟和网格化排放清单,更新频率为每30 min一次,包含PM、NOx、CO、SO2、VOCs等污染物和9种车型。系统建成后直接服务于首届中国国际进口博览会,为大气污染排放实时总量跟踪评估、污染源管控措施分析及监测成因分析等提供了有力的实时数据和技术支撑。     

南京市机动车排气监测与评价

通过对南京市机动车排气污染物的年检监测,表明南京市的汽油车、柴油车、摩托车排气合格率总体呈上升趋势,2002年全市机动车排气监测总合格率为99.9%,比1993年上升了8.6个百分点;汽车尾气达标率也呈上升趋势,2002年达83.8%,比1993年上升了2.6个百分点。对机动车排气路检结果表明,CO超标的车辆占84.4%,CO、HC两项指标都超标的车辆占31.1%。对各类汽油助力车排气监测结果表明,二冲程汽油助力车尾气中CO、HC排放量要高于四冲程汽油助力车的排放量。对各类正三轮摩托车排气抽检结果表明,大部分四冲程正三轮摩托车尾气排放污染物能达标,且排气管无碳烟;二冲程正三轮摩托车尾气中HC值偏高,排气管碳烟明显。