Grided vehicle emission inventory based on AOD mediation coefficient
To improve the accuracy of gridded emission inventories,this paper proposed a spatial allocation model based on aerosol optical depth(AOD)combined with standard road lengths.The model was validated using Qingdao as a case study.The validation results showed that the PM2.5 emission inventory for Qingdao in 2019 at a 1 km×1 km resolution,obtained using the spatial allocation model based on AOD correction coefficients,exhibited a higher correlation coefficient(R2 was 0.55)with measured data compared to models based on standard road lengths,GDP,and population density(R2 was 0.47,0.43,and 0.31,respectively).High-emission areas for vehicles in Qingdao include the central urban area,as well as the downtown regions of Jimo,Jiaozhou,Laixi,Pingdu,and the Jiaozhou Bay area.This study was the first to introduce remote sensing data into the spatial allocation model,transforming the allocation coefficient of each grid from a fixed value into a dynamic parameter varing with real atmospheric pollution conditions,thereby enhancing the accuracy of grided vehicle emission inventories.This study was of great significance for studying the impact of vehicle emissions on air pollution and facilitating precise control measures.
万方数据
维普
