“…However, detailed information about latitudes and longitudes is generally unavailable for diffuse sources that are too miscellaneous or small to be individually identified as point sources or line and area sources. Therefore, some surrogate spatial proxies, such as land use coverage percentage, vehicle flow, gross domestic product (GDP), and population, are applied to spatially disaggregate national or regional-scale emissions into grids with varied resolutions. ,,,,, In addition, several new distribution indices, including urban population, industrial activity, major power plant, and gold deposits, were used as parameters for different sectors to prepare multiscale sector-specific gridded emission inventories. ,,,,,,,,,,,, Recently, except for GDP, population, and land use, road networks, ship tracks, , and flight route information were adopted as surrogate indices to generate a high-resolution emission inventory. It is worth noting that challenges are still emerging in developing high-resolution emission maps up to urban block street resolution as well as supporting fine-scale air quality model simulation, although considerable efforts have been made to improve the spatial distribution of emissions.…”