The Potential Use of Low-Cost Air Pollution Sensors in Variety of Indoor and Outdoor Applications
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: closed (26 August 2021) | Viewed by 17244
Special Issue Editor
Special Issue Information
Dear Colleagues,
The evolution of low-cost sensors (LCSs) has made the Spatio-temporal mapping of the indoor and outdoor air pollution possible but the diversity of them for various applications make their optimum selection challenging. In this special issue, we aim to discuss the use of LCSs for the control of both indoor and outdoor environments. We encourage authors to explore the key steps by focusing on sensor selection, deployment strategies, data assimilation and processing, and development of predictive models in different settings. This also includes studies based on citizen science approach, where the public is involved in the monitoring and assessment of their living/working environments. This special issue aims to address this need by highlighting high-quality research into the development of affordable but trustable LCSs networks for long-term deployment. Thereby laboratory and field measurements and modelling research to meet the above objectives, such as below items are welcomed:
- Development and evaluation of next-generation LCSs for indoor/outdoor applications
- New and innovative methods/techniques for calibration of LCSs
- Optimum deployment strategies of networked-LCSs
- Development of methods/techniques which make LCSs reliable for long-term applications
- Advanced data assimilation, data processing, and innovative modelling apprach for monitoring and pridicting air pollution in networked structurs
- Exposure and health impact assessment using stationary and mobile-based LCSs
- Co-designing and -development of LCS-based systems with suppport of citizen scientists
- Other related studies that satisfy the special issue aims and objectives.
Dr. Hamid Omidvarborna
Guest Editor
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Keywords
- low-cost air pollution sensors
- smart cities/buildings
- sensor network
- deployment strategies
- data assimilation and analysis
- predictive modelling
- citizen science
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