Evaluation of vertical and horizontal distribution of particulate matter near an urban roadway using an unmanned aerial vehicle
Measurement of traffic emissions has gained a lot of interest in recent times due to its contribution to urban pollution. This paper reports the outcome from an unmanned aerial vehicle (UAV) based measurement of PM concentration near an urban roadway at Kolkata, India. A total of 54 flights were carried out for simultaneous measurements of PM₁, PM₂.₅ and PM₁₀ mass concentration and meteorological parameters in vertical as well as in horizontal direction. Results for the vertical flight up to 100 m showed that the PM₁, PM₂.₅ and PM₁₀ concentrations at higher altitudes are less (mean; 24.6, 39.9 and 103.8 μg m⁻³) compared to the respective ground level concentrations (mean; 26.3, 50.4 and 201.9 μg m⁻³). For all the three particle sizes, the majority of the cases of higher PM concentration at higher altitudes happened during the evening flight. Low mixing height and low wind speed are suggested to be the reasons for the poor dispersion of pollutants in the evening. While there was a 7–10% fall of fine particles (PM₁ and PM₂.₅) mass concentrations up to 90 m away from the road, no trend could be seen for PM₁₀. The random forest model to predict the UAV/Ground concentration ratio showed high accuracy (R² = 0.82–0.95) for all three particle sizes. This is an important finding from this study, which shows how UAV measurement data can be used to generate models that can predict the higher altitude concentrations from the ground based measurements.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00489697
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Supplemental Notes:
- © 2022 Elsevier B.V. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Dubey, Ravish
- Patra, Aditya Kumar
- Joshi, Jayadev
- Blankenberg, Daniel
- Allaudeen, Nazneen
- Publication Date: 2022-8-25
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; Photos; References; Tables;
- Pagination: 155600
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Serial:
- Science of the Total Environment
- Volume: 836
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0048-9697
- Serial URL: http://www.sciencedirect.com/science/journal/00489697
Subject/Index Terms
- TRT Terms: Air pollution; Concentration (Chemistry); Drones; Environmental monitoring; Particulates; Urban highways
- Geographic Terms: Kolkata (India)
- Subject Areas: Aviation; Environment; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01849495
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 24 2022 5:07PM