Air Quality Assessment and Management

Dear Colleagues,

Quantifying and monitoring air pollutants and their impacts in terms of public health and environmental effects is a critical component in policy discussion. The close interconnections between air quality and climate change also present a complex and sometimes confusing picture. In recent years, the policy-making process has paid greater attention to data gathering and analysis, and to their quality. In this regard, the progressive expansion of the existing air quality monitoring networks, the emergence of low-cost electronics and sensors, and the employment of integrated modeling tools are providing valuable information. The combination of data from many sources, in situ and remote sensing measurements, models, and public data providers are proving to be essential for a greater understanding. However, due to the huge amount of involved data, there is the need for new research on post-processing techniques, including advanced computational intelligence, interoperable systems, and data mining applications. The purpose of this Special Issue is to provide an overview of recent advances in technologies, tools, and methods with a focus on improving air monitoring, increasing environmental awareness, and/or facilitating knowledge-based policymaking. Contributions from observations, field experiments, and chemical transport modeling, including data science investigations, are all welcome.

Dr. Mariantonia Bencardino
Dr. Francesco D’Amore
Guest Editors

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