Abstract:

The time allocation model was improved and optimized to improve the accuracy of gridded vehicle emission inventory. Based on the congestion delay index, a new time allocation model was proposed by combining the congestion delay index which reflects the actual traffic conditions with the three-parameter traffic flow model, and Jinan city was taken as the test area for analysis and verification. The results show that the monthly, daily and hourly variation trends of pollutant emissions allocated by the time allocation model are consistent with those of the monitoring data. Based on the grid NO₂ emission inventory allocated with the constructed model in this paper, the simulation effect of the Community Multiscale Air Quality Modle(CMAQ) has been significantly improved, and the normalized mean deviation and normalized mean error are reduced by about 21.6% and 23.7%, respectively. The proposed time allocation model reflects the actual traffic flow situation, makes up for the shortage of sample survey data, and conforms to the three-parameter traffic flow model, showing that it has important reference significance for the accurate control of vehicle emissions and pollution control.

Key words: vehicle emission, temporal allocation, congestion delay index, gridding emission inventory