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Sustainable Low–Cost Air Pollution Monitors and Air Quality

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Air, Climate Change and Sustainability".

Deadline for manuscript submissions: 15 November 2024 | Viewed by 135

Special Issue Editor

Special Issue Information

Dear Colleagues,

Sustainable development is the core value of human society in creating a better future for living. The UN set the 17 Sustainable Development Goals (SDGs) for its country members to practice and collaborate on globally. Among others, air quality improvement has been the major climate action in facilitating an equilibrium between industrial development and human health. To augment the coverage of air quality monitoring regions, low-cost and low-power sensors have been deployed at a large scale to offer a substantial analysis of air quality. The huge number of participating organizations and citizens further promote the research with citizen science to improve air quality. For the past decade, artificial intelligence (AI) has made great progress in diverse fields. The applications of AI, especially deep learning, seep into every piece of air quality to reach a sustainable future. We anticipate a great opportunity to explore promising computational approaches for low-cost sensors and air quality analysis.

The purpose of the Special Issue is to call attention to the marriage between “computational approaches” and “low-cost sensors and air quality” and to boost the synergy between the two streams. The publication of our Special Issue will position itself at the sustainability frontier for promoting low-cost sensors and air quality.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Low–cost air pollution monitors;
  • Air quality forecast;
  • Air quality spatiotemporal analysis;
  • Sustainability and air quality IoT;
  • Sustainability and human health;
  • Big data mining for air quality;
  • Machine learning and artificial intelligence for air quality analysis;
  • Heuristic and metaheuristic for air quality analysis;
  • Operation and maintenance for air quality IoT.

I look forward to receiving your contributions.

Prof. Dr. Pengyeng Yin
Guest Editor

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Sustainability is an international peer-reviewed open access semimonthly 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

  • low-cost air monitoring sensors
  • air quality
  • IoT
  • artificial intelligence
  • computational approaches
  • spatiotemporal analysis
  • air quality forecast

Published Papers

This special issue is now open for submission.
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