The Recent Assessment Techniques and Methods of the State of Air Quality and the Causes of its Pollution
A special issue of Environments (ISSN 2076-3298).
Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 8151
Special Issue Editors
Interests: meteorological aspects of air quality; air quality monitoring, modeling and forecasting; atmospheric boundary layer meteorology; remote sensing of the ABL
Interests: environmental pollution; heavy metal pollution; environment protection; air quality monitoring
Interests: meteorology; air pollution problems; optics; sound and electricity in the atmosphere; the physics of clouds and precipitation; the physics of the atmospheric boundary layer
Special Issue Information
The current COVID-19 pandemic has pushed problems of deteriorating air quality somewhat into the background. Nevertheless, a number of papers have already appeared in the literature studying the links between this disease and air quality. The topic of air quality assessment and the causes of air pollution will undoubtedly remain on the agenda. For such an assessment, it is necessary to measure both the concentrations of pollutants and meteorological variables affecting their transport and dispersion in the atmospheric boundary layer. Many methods and instruments, which until recently were in the phase of specialized laboratory research, have become commercially available for practical use in real conditions. Air quality monitoring networks are supplemented and thickened by low-cost air quality sensors. Drones, laser ceilometers and Doppler lidars, microwave radiometers, and other means of remote sensing have enabled measurement of the profile of meteorological quantities at high temporal and spatial resolution. Large volumes of acquired data allow their evaluation and interpretation by methods based on data mining. The content of this Special Issue will be contributions documenting the use of state-of-the-art methods and techniques for measuring and processing of data on pollutant concentrations and meteorological elements and their synergistic use to detect the causes of deteriorating air quality as well.
Dr. Josef Keder
Dr. Petra Bauerova
Prof. Dr. Jan Bednar
Guest Editors
Manuscript Submission Information
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Keywords
- air quality
- atmospheric boundary layer
- sensor synergy
- data mining
- low-cost sensors
- remote sensing methods
- lidar
- ceilometer
- drone
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