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Statistical Approaches to Investigate Air Quality

This special issue belongs to the section “Air Quality“.

Special Issue Information

Dear Colleagues,

We invite you to contribute to a special issue of Atmosphere, dedicated to statistical approaches to investigate air quality. Encompassing a variety of techniques, these statistical approaches are an important tool for air quality management.  For example, they can be used to forecast air pollutant concentrations, identify sources and quantify their contributions to air quality, and, estimate exposure and associated health impacts. As the trend in air quality management continues toward increased use of portable instrumentation, including low-cost sensors, the research community is utilizing sophisticated techniques to analyze large volumes of data, as well as forecast air pollution at fine spatial and temporal scales. Recent advancements in statistical techniques, including data mining and deep learning are currently being utilized and can offer a more robust picture of air quality and support air quality management efforts. At the same time, traditional methods such as receptor models continue to be utilized – especially in regions that have only recently acquired the necessary speciation data. To bring together the research community, we invite researchers in a broad array of fields, including environmental engineering, environmental science and public health to submit original research work this special issue of Atmosphere devoted to statistical approaches to investigate air quality.

Dr. Sivaraman Balachandran
Prof. Piero Di Carlo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

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

  • Statistical models
  • Air quality
  • Source apportionment
  • Forecast models
  • Spatiotemporal models
  • Health
  • Exposure

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Atmosphere - ISSN 2073-4433