Open access
Sep 2026
A FORECASTING PROTOCOL FOR URBAN AIR POLLUTION IN A TRANSPORT INFLUENCED ENVIRONMENT: A COMPARISON OF UNIVARIATE, SEASONAL, MULTIVARIATE AND DYNAMIC REGRESSION MODELS FOR PM2.5, PM10, O3, AND NO2
This study proposes a structured and empirically validated forecasting protocol for the short-term prediction of weekly urban air pollution time series, focusing on 𝑃𝑀. , � �𝑀 , 𝑂, and 𝑁𝑂 in a transport-influenced urban environment. Rather than assuming the superiority of a specific modeling approach, the framework...
V. Pencheva, A. Asenov, Ivan Georgiev et al.
· Transport Problems · 0 citations