Journals / Atmospheric Pollution Research / 2019 / Cilt: 10 - Sayı: 3
Emission characteristics and high-resolution spatial and temporal distribution of pollutants from motor vehicles in Chengdu, China
- Pages
- 749–758
- DOI
- —
Özet
The establishment of the air pollutant emission inventory of urban motor vehicles is the key to control motor vehicle pollution; therefore, the purpose of this paper is to develop an air pollutant emission inventory of urbanmotor vehicles in Chengdu. The IVE model localization including the actual measurement correction wascompleted, the motor vehicle emission factors on various types of roads in Chengdu's different developmentareas were calculated, and the 1 km×1 km on-road mobile source emission inventory for the year of 2016 wasestablished in the bottom-up method based on the collected data on road network, traffic flow, vehicle drivingcycle, the vehicle population in Chengdu, etc. The inventory showed that the CO, VOCs, NOx, SO2, PM10 and NH3emissions of Chengdu's on-road mobile sources had reached 432.2 kt, 44.8 kt, 72.4 kt, 0.4 kt, 11.3 kt and 6.2 ktrespectively in 2016. Light-duty vehicle, medium-duty vehicle, and heavy-duty vehicle were the major contributorsto CO emissions, and their CO emissions accounted for 44%, 14% and 11% of the total CO emissionrespectively; VOCs mainly came from light-duty vehicle, motorcycle, and heavy-duty truck, the VOCs emissionsof which accounted for 49%, 19% and 10% of the total VOCs emission respectively; NOx and SO2 mainly camefrom light-duty vehicle and heavy-duty truck, the NOx emissions of which accounted for 25% and 48% of thetotal NOx emission, and the SO2 emissions of which accounted for 70% and 14% of the total SO2 emissionrespectively; in addition, the heavy-duty truck caused PM10 emission accounting for 78% of the total PM10emission, while the light-duty vehicle caused NH3 emission accounting for 81% of the total NH3 emission. Thespatial distribution of on-road mobile source pollutant emissions showed that emissions were concentrated in thedowntown with a decreasing trend from the downtown to the suburbs and the outer suburbs. Based on the 95%confidence intervals, the uncertainties of CO, VOCs and NOx emission estimations were relatively low withrelative errors ranging from - 68% to 87%, 58%–84% and 97%–75%. Considering the uncertainties of the trafficflows and emission factors, the on-road mobile source emission inventory shall be further improved to provideimportant scientific research supporting for the prevention and control of air pollution in Chengdu.