Multi-Pollutant Inventory

Multi-Pollutant Inventory

The upcoming data’s are analyzed by urban emissions during their survey in 2018. For the road transport emissions inventory, besides the total number of vehicles and their usage information, they also utilized vehicle speed information to spatially and temporally allocate the estimated emissions to the respective grids. For the city of Vijayawada, we extracted the speed information for representative routes across the city for multiple days. This data is summarized as below.

Figure 14.4: Vijayawada – Hourly urban traffic speeds (km/hr) Source: https://urbanemissions.info/india-apna/vijayawada-india/

Figure 14.5: Vijayawada – Hourly traffic speeds (km/hr) Source: https://urbanemissions.info/india-apna/vijayawada-india/ The summary for a city’s emissions inventory does not include natural emission sources (like dust storms, lightning, and sea salt) and seasonal open (agricultural and forest) fires. However, these are included in the overall chemical transport modeling in the national scale simulations. These emission sources are accounted in the concentration calculation as an external (also known as boundary or long-range) contribution to the city’s air quality.