Polarization lidar detection of agricultural aerosol emissions

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dc.contributor.authorGregorio López, Eduard
dc.contributor.authorGené Mola, Jordi
dc.contributor.authorSanz Cortiella, Ricardo
dc.contributor.authorRocadenbosch Burillo, Francesc
dc.contributor.authorChueca Adell, Patricia
dc.contributor.authorArnó Satorra, Jaume
dc.contributor.authorSolanelles Batlle, Francesc
dc.contributor.authorRosell Polo, Joan Ramon
dc.date.accessioned2018-04-26T11:19:48Z
dc.date.available2018-04-26T11:19:48Z
dc.date.issued2018-04-18
dc.date.updated2018-04-26T11:19:48Z
dc.description.abstractAgricultural 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.
dc.description.sponsorshipThis research was partially funded by the Spanish Ministry of Economy and Competitiveness (projects AGL2007-66093-C04-03, AGL2010-22304-04-C03-03, and AGL2013-48297-C2-2-R) and EU FEDER. Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement de la Generalitat de Catalunya and the Spanish Ministry of Education are thanked for Mr. Jordi Gené’s predoctoral fellowships (2016FI_B 00669 and FPU15/03355). The authors would like to thank the Institut de Recerca i Tecnologia Agroalimentàries for allowing the use of their experimental fields. The authors also wish to thank F. Camp, A. Escolà, C. Garcerá, F. Gràcia, J. Masip, E. Moltó, I. del Moral, and R. Viana for their assistance in the field work. X. Torrent and S. Planas are also thanked for the nozzle characterization with the PDA. F. Marenco (Met Office, UK) and P. Chazette (LSCE-IPLS, France) are acknowledged for their fruitful comments about lidar calibration.
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1155/2018/1864106
dc.identifier.idgrec026984
dc.identifier.issn1687-725X
dc.identifier.urihttp://hdl.handle.net/10459.1/63148
dc.language.isoeng
dc.publisherHindawi Publishing Corporation
dc.relationinfo:eu-repo/grantAgreement/MEC//AGL2007-66093-C04-03/ES/REDUCCION DEL USO DE PRODUCTOS FITOSANITARIOS EN CULTIVOS ARBOREOS. OPTIMIZACION DE LA DOSIS DE APLICACION EN TRATAMIENTOS MECANIZADOS DE FRUTALES/
dc.relationinfo:eu-repo/grantAgreement/MICINN//AGL2010-22304-C04-03/ES/ESTRATEGIAS INTEGRALES PARA UNA UTILIZACION DE FITOSANITARIOS SEGURA Y EFICAZ. PULVERIZACION DE PRECISION Y MONITORIZACION DE LA DERIVA EN FRUTICULTURA/
dc.relationinfo:eu-repo/grantAgreement/MINECO//AGL2013-48297-C2-2-R/ES/HERRAMIENTAS DE BASE FOTONICA PARA LA GESTION AGRONOMICA Y EL USO DE PRODUCTOS FITOSANITARIOS SOSTENIBLE EN CULTIVOS ARBOREOS EN EL MARCO DE LA AGRICULTURA DE PRECISION/
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1155/2018/1864106
dc.relation.ispartofJournal of Sensors, 2018, vol. 2018, 9 p.
dc.rightscc-by (c) Gregorio et al., 2018
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSensores LIDAR
dc.subjectFitosanitarios
dc.subjectLaser Measurements
dc.titlePolarization lidar detection of agricultural aerosol emissions
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
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