Air Quality Monitoring, Analysis and Modeling

Dear Colleagues,

In recent decades, with the industrialization of most countries in the world and the desertification of land through climate change due to the increase in carbon dioxide, severe air pollution has been generated. Either our human activities in farm fields, industrial zones, and urban areas or natural phenomena have created important issues that are still underlying, both in advanced and in undeveloped countries. By investigating the characteristics of atmospheric pollutants, we attempt to suggest various effective ways of improving the air pollution condition. We would like to invite scientific papers on “Short- and Long-term Air Pollution Analysis, Modeling and Prediction”, related to air pollution mapping and monitoring using satellite and GIS (SAR, MODIS, etc.), air pollution assessment and control strategy, the photochemical reaction of air pollutants and their phase changes, indoor air pollution, and the prediction of particulate matter and gas concentrations using Artificial Intelligence (artificial neural network modeling, machine learning, deep learning), multivariate statistical modeling and 3D-numerical modeling, the atmospheric boundary layer effect on severe air pollution, the meteorological effect on a high air pollution state, the emission and transport of atmospheric pollutants, air pollution modeling for its local, regional, and global scales, air pollution impact on human health and its control, etc. Finally, we would like to welcome any manuscripts which may be slightly outside the above topics.

Prof. Dr. Hyo Choi
Prof. Dr. Kuruvilla John
Guest Editors

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• air pollution monitoring and analysis of particulate matters and gaseous (ratio matrix, importance, moving average technique)
• air pollution monitoring and mapping (Surfer, QGIS, etc.) and improvement of satellite images (SAR, MODIS, etc.) and geographical information system (GIS)
• AI (artificial neural network modeling, machine learning and deep learning) and multivariate statistical modeling
• 3D-numerical modeling on air pollutant concentration and its dispersion
• air quality variation affected by the atmospheric boundary layer and severe weather (cold front, internal gravity waves, etc.)
• emission and transport of air pollutants
• nocturnal ozone increase due to transportation and ozone folding
• air pollution impact on human health
• desertification of land through climate change due to the increase in carbon dioxide
• improvement method and policy of air pollution state
• renewable energy