Multi-component atmospheric aerosols prediction by a multi-functional MC-HDMR approach

Abstract

In this paper, a multi-functional moving-cut high-dimensional model representation (MC-HDMR) approach is developed for simulation of multi-component input and output aerosols. This method leads to an aerosol prediction database system based on full thermodynamic models such as ISORROPIA. The developed prediction system can efficiently compute the prediction of aerosol thermodynamic equilibrium in high-dimensional domains with a large range of aerosol concentrations from 10-9molm-3 to 10-5molm-3 and for different types of aerosols including aerosols containing sea salt component. Numerical computations show the great computational efficiency of the method that its CPU-time cost is much less compared to ISORROPIA. Three types of aerosols of urban, non-urban continental and marine are considered and the multi-component outputs predicted by the approach are in great agreement with those by ISORROPIA and AIM2. Actual aerosol examples in European and Asian cities are simulated by the approach and ISORROPIA and AIM2. Numerical results match very well and show heavier traffic pollution at the areas of HU02, IT01 and NL09 among six European stations, more anthropogenic pollution in Shanghai than other three Asian cities, and Hong Kong's aerosols affected by the marine environment.