Advances in Air Pollution Detection and Air Quality Research

Dear Colleagues,

Air pollution threatens human health, the environment, and biodiversity; therefore, in this context, the evolution of air quality monitoring sensors and the development of innovative methods for measuring and extracting knowledge from measurements collected by such sensors become imperative.

The measurement datasets provided by these sensors can be processed by taking advantage of recent trends in artificial intelligence, leading to better the prediction, modelling, and forecasting of air quality or improved identification of local sources of air pollution.

Last but not least, the development of independent air quality monitoring networks reflects the desire of local communities to live in a clean environment and draws the attention of decision-makers who can make decisions for the benefit of their communities.

We are therefore interested in attracting articles that investigate advanced measurement methods and air quality research. Potential topics include, but are not limited to:

• Innovative measurement principles;
• Dynamic real-time capabilities in monitoring air quality;
• New sensors infrastructures;
• Independent low-cost sensor networks;
• Knowledge extraction from the measurement datasets, based on artificial intelligence;
• Novel findings about the air quality predictions, modelling and forecasting;
• IoT, big data, and machine learning;
• Application case studies;
• Sustainable environments;
• The social aspects of air pollution;
• Smart cities;
• Apps for air quality monitoring.

Dr. Mihaela Tinca Udriștioiu
Dr. Silvia Puiu
Dr. Liliana Velea
Guest Editors

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