Polarization Lidar Detection of Agricultural Aerosol Emissions
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...
| Autores principales: | , , , , , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Acceso en línea: | http://hdl.handle.net/20.500.11939/6214 |
| _version_ | 1855032387055910912 |
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| author | Gregorio, Eduard Gene, Jordi Sanz, Ricardo Rocadenbosch, Francesc Chueca, Patricia Arnó, Jaume Solanelles, Francesc Rosell-Polo, Joan R. |
| author_browse | Arnó, Jaume Chueca, Patricia Gene, Jordi Gregorio, Eduard Rocadenbosch, Francesc Rosell-Polo, Joan R. Sanz, Ricardo Solanelles, Francesc |
| author_facet | Gregorio, Eduard Gene, Jordi Sanz, Ricardo Rocadenbosch, Francesc Chueca, Patricia Arnó, Jaume Solanelles, Francesc Rosell-Polo, Joan R. |
| author_sort | Gregorio, Eduard |
| collection | ReDivia |
| description | 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 355nm 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. |
| format | article |
| id | ReDivia6214 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | ReDivia62142025-04-25T14:46:31Z Polarization Lidar Detection of Agricultural Aerosol Emissions Gregorio, Eduard Gene, Jordi Sanz, Ricardo Rocadenbosch, Francesc Chueca, Patricia Arnó, Jaume Solanelles, Francesc Rosell-Polo, Joan R. 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 355nm 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. 2019-05-15T10:37:42Z 2019-05-15T10:37:42Z 2018 article publishedVersion Gregorio, E.; Gene, J.; Sanz, R.; Rocadenbosch, F.; Chueca, P.; Arno, J.; Solanelles, F.; Rosell-Polo, J. R. (2018). Polarization lidar detection of agricultural aerosol emissions. Journal of Sensors, , 1864106. http://hdl.handle.net/20.500.11939/6214 10.1155/2018/1864106 en Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ electronico |
| spellingShingle | Gregorio, Eduard Gene, Jordi Sanz, Ricardo Rocadenbosch, Francesc Chueca, Patricia Arnó, Jaume Solanelles, Francesc Rosell-Polo, Joan R. Polarization Lidar Detection of Agricultural Aerosol Emissions |
| title | Polarization Lidar Detection of Agricultural Aerosol Emissions |
| title_full | Polarization Lidar Detection of Agricultural Aerosol Emissions |
| title_fullStr | Polarization Lidar Detection of Agricultural Aerosol Emissions |
| title_full_unstemmed | Polarization Lidar Detection of Agricultural Aerosol Emissions |
| title_short | Polarization Lidar Detection of Agricultural Aerosol Emissions |
| title_sort | polarization lidar detection of agricultural aerosol emissions |
| url | http://hdl.handle.net/20.500.11939/6214 |
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