Gridemis V2.0: A highly integrated algorithm scheme for high-resolution and multi-component allocation of emission inventories used in air quality models

Abstract

A novel algorithm for generating multi-component, high-resolution emission inventories for air quality models (AQMs) was developed, enhancing the 0.01° spatial allocation scheme for points, lines, and surfaces based on land use, population density, and road networks. It incorporated localized chemical species allocation based on recent Volatile Organic Compounds (VOCs) and Particulate Matter (PM) composition, along with time allocation scheme utilizing monthly and hourly non-uniformity coefficients. The algorithm consists of four modules for grid calculation, refined inventory calculation, coarse grid interpolation, and model-ready inventory production. It achieved highly integrated and one-step workflow from raw parameter settings to direct model-ready emission files for simulations with CMAQ and CAMx. The Beijing-Tianjin-Hebei (BTH) region was used as example to introduce the production process and research characteristics of refined emission inventory. The results demonstrated that this algorithm effectively captures the spatiotemporal distribution and dynamics of atmospheric pollutants, offering significant support for emission and simulation research.