Advances in Monitoring and Modeling of Urban Air Quality

Dear Colleagues,

Urban air quality monitoring and modeling methodologies have dramatically advanced. These advanced methodologies enable us to detect and estimate air pollutant concentrations (e.g., PM₁₀, PM_2.5, NO₂, O₃, SO₂, CO, CO₂) at high temporal (approximately a few seconds) and spatial (approximately a few meters) resolutions. Recent advances include accurate portable devices, low-cost sensor networks, mobile monitoring using vehicles (i.e., van, drone, bicycle, etc.), air pollutant emission models, and multiscale dispersion models, from Gaussian models to computational fluid dynamics (CFD) models. However, there are still some debating issues on the representativeness, repeatability, and validity of the advanced methodologies.

This Special Issue aims at reporting recent advances in urban air quality monitoring and modeling and discussing their technical developments as well as improvements in scientific understanding.

Prof. Dr. Kyung-Hwan Kwak
Guest Editor

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