Improving the computational efficiency of a source-oriented chemical mechanism for the simultaneous source apportionment of ozone and secondary particulate pollutants
Qixiang Xu,Zilin Jin,Qi Ying,Ke Wang,Fangcheng Su,Ruiqin Zhang,and Michael J. Kleeman
Qixiang Xu
School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
Zilin Jin
School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
Qi Ying
Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77845-3136, USA
Ke Wang
School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China
Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
This paper introduces a novel approach for improving the computational efficiency and scalability of source-oriented chemical mechanisms by simplifying the representation of reactions involving source-tagged species and implementing a source-oriented Euler backward iterative (EBI) solver. These advancements reduce simulation times by up to 74 % while maintaining accuracy, offering significant practical benefits for long-term source apportionment studies.
This paper introduces a novel approach for improving the computational efficiency and...