Kirill Garinskikh

A computationally efficient neural network model for short-term PM2.5 forecasting in urban areas

Urban air pollution caused by fine particulate matter with an aerodynamic diameter of less than 2.5 micrometers (PM2.5) remains a major environmental and public health challenge, especially in metropolitan areas with spatially heterogeneous pollutant distribution. Purpose. The study aims to develop and evaluate a compu...