Urban Micrometeorology and Air Pollution
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 387
Special Issue Editors
2. Center for Lasers and Applications (CELAP), Institute of Energy and Nuclear Research (IPEN), São Paulo 05508-000, Brazil
Interests: atmospheric boundary layer; air quality; machine learning; remote sensing; turbulence; urban pollution
Special Issues, Collections and Topics in MDPI journals
Interests: geosciences and remote sensing applied to the atmosphere; aerosols and air pollution
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the last few decades, several studies have been carried out addressing problems related to air quality. Advancements in computational techniques and data acquisition systems (such as remote sensing) have enabled a better understanding of pollutant dispersion processes and the relationship of these phenomena with several micrometeorological variables.
However, due to the high complexity of the atmospheric boundary layer behavior and the variables that influence its dynamics, synergistic surface studies, remote sensing and advanced computational techniques have become increasingly essential to a better understanding of the dynamics of atmospheric pollutants, especially in large urban centers.
Considering this scenario, we welcome original research manuscripts addressing the use of models, remote sensing and/or surface data to enhance our understanding of the variables that influence pollutant dynamics in urban regions as well as air quality indices. We welcome papers on topics including, but not limited to, the following:
- Remote sensing systems for the analysis of variables that can influence air quality;
- Models that use remote sensing or surface data as input;
- Models that perform air quality index predictions;
- Correlation between surface data, remote sensing data and air quality;
- Environmental feature extraction for Particulate Matter (PM) expansion modeling;
- Signal processing for pollutant detection.
Dr. Gregori de Arruda Moreira
Dr. Eduardo Landulfo
Dr. Jonatan João Da Silva
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- atmospheric boundary layer
- air quality
- remote sensing
- machine learning
- turbulence
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