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1.
1 IntroductionInrecentyears,moreandmorecitieshavesufferedfromairpollutioncausedbyvehicledischarge.Manyofthepollutantsfromvehic?..  相似文献   

2.
捷达车实测排放因子和MOBILE6预测值的对比分析   总被引:9,自引:0,他引:9  
OEM是最新的基于车辆实际行驶路况的车载尾气检测系统,文中利用OEM在实际道路上对不同捷达车的实时尾气排放进行测量,得到10天测试车辆每秒的尾气排放数据,并利用数据库统计、排放数据匹配行驶周期等方法,计算出每天的平均尾气排放因子。同时使用了美国的MOBILE6软件,确定相对应的输入参数,得到相应排放因子。最终将两者进行比较分析,探讨MOBILE6在中国的适用性。  相似文献   

3.
在使用MOBILE计算机动车排放因子时,一个较为重要的计算参数——计算年,在美国是根据实际年份来确定的,但是由于我国机动车排放发展水平与美国的不同,其值的确定是比较困难的关键问题。文章利用我国的实测机动车排放因子数据,在同等条件下使用MOBILE计算排放因子,并与道路实测数据对比,得到不同测试年份对应的MOBILE计算年,从而回归出使用MOBILE计算机动车排放因子的计算年公式。在今后利用MOBILE计算机动车排放时,可以方便的使用公式得到对应的MOBILE计算年,从而提高计算的精确度。  相似文献   

4.
NONROAD非道路移动源排放量计算模式研究   总被引:3,自引:0,他引:3  
研究和分析了影响非道路移动源污染物排放的各种因素,系统地剖析了美国环保署推荐的NONROAD非道路移动源污染物排放量的计算模式。给出了模式中关于排放因子的工况、使用水平、燃料中氧和硫含量以及环境温度修正的方法,并提供了非道路机械的活动因子和负载水平的调查结果,为模式及其参数的正确应用和修正提供了理论指导,探讨了中国非道路移动源排放应该考虑的主要因素。  相似文献   

5.
富康车实测尾气排放数据分析   总被引:1,自引:1,他引:1  
利用OEM系统收集富康车在实际路况上的实时尾气排放数据,得出3种主要污染物NOx、CO、HC的排放因子及测试车辆的百公里耗油量,并将排放因子同MOBIEM6模型预测的排放因子进行对比,最后对OEM技术在我国的应用进行初步探讨.  相似文献   

6.
中国机动车排放模型的研究与展望   总被引:8,自引:0,他引:8  
通过介绍美国环保局(USEPA)颁布的机动车源排放模型(MOBILE)的发展,分类及最新模型版本。提出了根据这一思路开发的中国机动车排放模型,重点介绍了机动车类型划分,基本排放因子测试及有关修正因子的确定等。  相似文献   

7.
本文着重介绍了适合城市空气中氮氧化物预报的五种模型 :统计模型中的MOBILE模式、时间序列分析法、投影回归技术和数值预报模型中的高斯模式及箱模式 .并在此基础上推荐了组合预报 .  相似文献   

8.
The levels of roadside PM10in Beijing, China, were investigated in 2011 and 2012 on a seasonal basis to estimate the population exposure to particulates for three road types. The measurements of PM10 were also conducted in the southern Chinese megacity of Guangzhou for comparison purposes. The results showed that roadside PM10in Beijing correlated strongly with the PM10background in the urban atmosphere. The levels of PM10in street canyons were markedly higher than those along the open roads and in crossroad areas because of limited ventilation. An elevation of PM10was observed in April, which was possibly due to the sand storms that frequently occur in the spring. Based on these observations, roadside PM10in Beijing could have multiple origins and was to some extent dispersiongoverned. In Guangzhou, the roadside PM10did not closely relate to the background values. The PM10 pollution was greatly afected by local trafc conditions. The simulation of PM10 for diferent road types was completed during the study period using the Motor Vehicle Emissions Factor Model(MOBILE6.2) as an emission model and the California Line Source Dispersion Model(CALINE4) and Operational Street Pollution Model(OSPM) as dispersion models. The MOBILE6.2/CALINE4 software package was demonstrated to be sufcient for the simulation of PM10in the open roads and crossroad areas in both Beijing and Guangzhou, and the simulation results of roadside PM10 in the street canyons by the MOBILE6.2/OSPM package were in close agreement with those of the measurements.  相似文献   

9.
中巴车实测排放因子和MOBILE6预测值的对比分析   总被引:14,自引:0,他引:14  
王文  于雷  刘娟  宋国华 《交通环保》2005,26(3):40-43
利用车载尾气检测(OEM)技术对在实际道路上行驶的中巴车辆进行测试,得到该车的实测排放因子;同时应用美国环保局(EPA)开发的MOBILE6模型,在对相关参数进行适当调整后计算相应的排放因子;对得到的排放因子进行比较和分析,并就MOBILE6模型在我国的适用性做出探讨。  相似文献   

10.
A database of real-world diesel vehicle emission factors, based on type and technology, has been developed following tests on more than 300 diesel vehicles in China using a portable emission measurement system. The database provides better understanding of diesel vehicle emissions under actual driving conditions. We found that although new regulations have reduced real-world emission levels of diesel trucks and buses significantly for most pollutants in China,NOx emissions have been inadequately controlled by the current standards, especially for diesel buses, because of bad driving conditions in the real world. We also compared the emission factors in the database with those calculated by emission factor models and used in inventory studies. The emission factors derived from COPERT (Computer Programmer to calculate Emissions from Road Transport) and MOBILE may both underestimate real emission factors, whereas the updated COPERT and PART5 (Highway Vehicle Particulate Emission Modeling Software) models may overestimate emission factors in China. Real-world measurement results and emission factors used in recent emission inventory studies are inconsistent, which has led to inaccurate estimates of emissions from diesel trucks and buses over recent years. This suggests that emission factors derived from European or US-basedmodels will not truly represent real-world emissions in China. Therefore, it is useful and necessary to conduct systematic real-world measurements of vehicle emissions in China in order to obtain the optimum inputs for emission inventory models.  相似文献   

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