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Volume 39 Issue 4
Jul.  2021
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2021  >  39(4): 64-71
YIN Zi-yuan, ZHANG Kai-shan. MODEL ANALYSIS FOR EMISSIONS OF LIGHT-DUTY GASOLINE VEHICLES IN A TYPICAL CITY[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(4): 64-71. doi: 10.13205/j.hjgc.202104011
Citation: YIN Zi-yuan, ZHANG Kai-shan. MODEL ANALYSIS FOR EMISSIONS OF LIGHT-DUTY GASOLINE VEHICLES IN A TYPICAL CITY[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(4): 64-71. doi: 10.13205/j.hjgc.202104011
shu

MODEL ANALYSIS FOR EMISSIONS OF LIGHT-DUTY GASOLINE VEHICLES IN A TYPICAL CITY

doi: 10.13205/j.hjgc.202104011

  • College of Architecture & Environment, Sichuan University, Chengdu 610065, China

  • Received Date: 2020-06-02
    Available Online: 2021-07-21
    Abstract
  • The objective of this work was to develop driving modes for a typical city in China and quantify its corresponding emissions. Using Chengdu as an example, twenty-six light-duty gasoline vehicles in compliance with the Phase V national emission standards (GB 18352.5-2013) were selected in this study. A portable emission measurement system (PEMS) was used for driving cycle and real-world emission measurements. The classification and regression tree (CART) was used to develop driving modes for emission modeling. Five driving modes, including acceleration, deceleration, cruise, idle, and stop and go (SNG) were defined and demonstrated to be able to characterize the real-world emissions and fuel consumption. In general, emissions and fuel consumption differ by driving modes with acceleration being the highest, followed by cruise, SNG, deceleration and idling. Depending on pollutant, the ratio of emissions between two different driving modes could be as high as a factor of 12. Furthermore, vehicle emissions from a majority of selected vehicles in this study exceeded its compliance emission standards and were episodic. This indicated that the developed driving modes could be used to characterize vehicle emissions at a high temporal resolution, and develop emission inventory for traffic management and emission control.
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