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Estimation of vehicular emissions using dynamic emission factors: A case study of Delhi, India

机译:使用动态排放因子估算车辆排放:以印度德里为例

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摘要

The estimation of vehicular emissions depends mainly on the values of emission factors, which are used for the development of a comprehensive emission inventory of vehicles. In this study the variations of emission factors as well as the emission rates have been studied in Delhi. The implementation of compressed natural gas (CNG), in the diesel and petrol, public vehicles in the year 2001 has changed the complete air quality scenario of Delhi. The dynamic emission factors of criteria pollutants viz. carbon monoxide (CO), nitrogen oxide (NO_x) and particulate matter (PM_(10)) for all types of vehicles have been developed after, which are based on the several factors such as regulated emission limits, number of vehicle deterioration, vehicle increment, vehicle age etc. These emission factors are found to be decreased continuously throughout the study years 2003-2012. The International Vehicle Emissions (IVE) model is used to estimate the emissions of criteria pollutants by utilizing a dataset available from field observations at different traffic intersections in Delhi. Thus the vehicular emissions, based on dynamic emission factors have been estimated for the years 2003-2012, which are found to be comparable with the monitored concentrations at different locations in Delhi. It is noticed that the total emissions of CO, NO_x, and PM_(10) are increased by 45.63%, 68.88% and 17.92%, respectively up to the year 2012 and the emissions of NO_x and PM_(10) are grown continuously with an annual average growth rate of 5.4% and 1.7% respectively.
机译:车辆排放的估算主要取决于排放因子的值,这些排放因子用于制定车辆的综合排放清单。在这项研究中,在德里研究了排放因子和排放率的变化。 2001年,在柴油和汽油,公共车辆中实施压缩天然气(CNG)改变了德里的整体空气质量状况。标准污染物的动态排放因子。之后,针对所有类型的车辆开发了一氧化碳(CO),氮氧化物(NO_x)和颗粒物(PM_(10)),这些都是基于规定的排放限值,车辆退化的数量,车辆增加的几个因素,车龄等。发现这些排放因子在整个2003-2012年的研究期间都在不断降低。国际车辆排放(IVE)模型用于通过利用德里的不同交通交叉口的现场观测数据集来估算标准污染物的排放量。因此,根据2003年至2012年的动态排放因子估算了车辆排放,发现其与德里不同地区的监测浓度相当。值得注意的是,截止到2012年,CO,NO_x和PM_(10)的总排放量分别增加了45.63%,68.88%和17.92%,并且NO_x和PM_(10)的排放量持续增长。年平均增长率分别为5.4%和1.7%。

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