Application of dynamic spatiotemporal modeling to predict urban traffic–related air pollution changes

Overview of attention for article published in Air Quality, Atmosphere & Health, November 2023

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This study aimed to create a dynamic spatiotemporal model to predict changes in urban traffic-related air pollution in Tehran using a land use regression (LUR) model. https://t.co/l44SYKIVAR

22 Mar 2024

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RT @UCASA_: New publication: " Application of dynamic spatiotemporal modeling to predict urban traffic–related air pollution changes" Jo…

06 Nov 2023

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New publication: " Application of dynamic spatiotemporal modeling to predict urban traffic–related air pollution changes" Journal: Air Quality, Atmosphere & Health - Springer Link: https://t.co/jCuwMbLxyd https://t.co/DziGp5cvGY

06 Nov 2023

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