Next Generation Air Quality Models: Dynamical Mesh, New Insights into Mechanism, Datasets and Applications

• Published in: Current pollution reports Vol. 11; no. 1; p. 25
• Main Authors: Li, Jinxi, Li, Yijie, Wang, Zifa, Zhu, Jiang, Kong, Lei, Li, Jie, Wu, Huangjian, Li, Leisheng, Tang, Xiao, Cheng, Zhen, Zhang, Lanyi, Gan, Pu, Pan, Xiaole, Yang, Wenyi, Cao, Kai, Zheng, Jie
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2025; Springer Nature B.V
• Subjects: Accuracy; Aerosols; Air pollution; Air quality; Aquatic Pollution; Artificial intelligence; Atmospheric chemistry; Atmospheric Protection/Air Quality Control/Air Pollution; Chemical reactions; Chemical speciation; chemical species; Climate change; Computer applications; Data assimilation; Data collection; Datasets; Earth and Environmental Science; Efficiency; Emissions; Environment; Environmental Law/Policy/Ecojustice; Environmental research; Forecasting; Government policy; Graphics processing units; Grid refinement (mathematics); Industrial plant emissions; Industrial Pollution Prevention; issues and policy; Learning algorithms; Literature reviews; Machine learning; model validation; Monitoring/Environmental Analysis; observational studies; One dimensional models; Outdoor air quality; Parameterization; Photolysis; Pollution; prediction; Predictions; Public policy; Review; Simulation; Topical Collection on Air Pollution; Waste Water Technology; Water Management; Water Pollution Control; Weather forecasting; Air Quality Model; Adaptive Mesh Refinement; Artificial Intelligence; Chemical Data Assimilation; Physical Parameterisation; Atmospheric Chemical Scheme

Purpose of Review Air quality modelling and forecasting have been well recognised to play important roles in environmental research as well as government policy assessments and management strategies. To address the recent progresses in air quality modelling, we conduct a literature review focusing o...