Special Issue "Development of Low-Cost PM Sensors Deployed to Air Quality Measurements"
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: 28 April 2023 | Viewed by 893
Special Issue Editor
Interests: aerosol technology; air-quality monitoring; numerical simulation calculation
Special Issue Information
Dear Colleagues,
PM sensors, which possess advantages such as low cost and small size, can be used to provide information on the air quality in areas with limited regulatory monitoring stations. They are also expected to be applicable for hotspot identification, emission inventories of pollutants creation, and real-time exposure assessment, which help with the design of mitigation strategies. In order to improve the correctness of low-cost sensors datasets, the linear regression method, multivariate linear regression method, and deep-learning methods have been used to calibrate the values measured by low-cost sensors. However, measures for large-scale PM sensors network calibration and strategies for regional deployment are still in need of development.
This Special Issue aims to provide original and the state-of-the-art studies on the deployment of low-cost PM sensors for air-quality measurements. Studies on calibration methods for sensors networks, site selection protocols for sensors deployment, spatial–temporal characterization of PM concentrations, hotspot identification, exposure assessment, and source tracing based on sensor datasets are welcome. The applicability of sensor networks for environmental enforcement is also of interest.
Dr. Guan-Yu Lin
Guest Editor
Manuscript Submission Information
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Keywords
- low-cost PM sensors
- sensors network
- spatial-temporal characterization
- air quality monitoring
- sensors calibration model
- environmental enforcement
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Authors/emails: (Corresponding) Kyung-Hwan Kwak/[email protected]
