Polarization Lidar Detection of Agricultural Aerosol Emissions
Joint Authors
Gregorio, Eduard
Gené, Jordi
Sanz, Ricardo
Rocadenbosch, Francesc
Chueca, Patricia
Arnó, Jaume
Solanelles, Francesc
Rosell-Polo, Joan R.
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Agricultural aerosol emissions can significantly impact human and animal health as well as the environment.
Therefore, it is essential to adopt new sensing techniques for real-time monitoring these emissions in high temporal and spatial resolution.
In recent years, light detection and ranging (lidar) technology has been used for measuring the particulate matter emitted from agricultural operations.
However, conventional nonpolarized lidar systems cannot discriminate between different types of aerosols, which can lead to misinterpretation of the results.
To overcome this limitation, this study applies the polarization lidar technique to monitor agricultural aerosols.
A 355 nm polarization lidar system was used to measure the emissions generated during pesticide spraying operations.
The results showed that depolarization ratios due to field dust (0.220–0.268) and to road dust (0.385) are clearly higher than those caused by pesticide spray drift (0.028–0.043) or by diesel exhaust (0.099), which can be used to differentiate each type of aerosol.
These results support the development of new polarization lidar systems specifically designed to study the impact of agricultural activities on air quality.
American Psychological Association (APA)
Gregorio, Eduard& Gené, Jordi& Sanz, Ricardo& Rocadenbosch, Francesc& Chueca, Patricia& Arnó, Jaume…[et al.]. 2018. Polarization Lidar Detection of Agricultural Aerosol Emissions. Journal of Sensors،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1200824
Modern Language Association (MLA)
Gregorio, Eduard…[et al.]. Polarization Lidar Detection of Agricultural Aerosol Emissions. Journal of Sensors No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1200824
American Medical Association (AMA)
Gregorio, Eduard& Gené, Jordi& Sanz, Ricardo& Rocadenbosch, Francesc& Chueca, Patricia& Arnó, Jaume…[et al.]. Polarization Lidar Detection of Agricultural Aerosol Emissions. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1200824
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200824