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dc.contributor.authorGregorio López, Eduard
dc.contributor.authorRosell Polo, Joan Ramon
dc.contributor.authorSanz Cortiella, Ricardo
dc.contributor.authorRocadenbosch Burillo, Francesc
dc.contributor.authorSolanelles Batlle, Francesc
dc.contributor.authorGarcerá, Cruz
dc.contributor.authorChueca, Patricia
dc.contributor.authorArnó Satorra, Jaume
dc.contributor.authorMoral Martínez, Ignacio del
dc.contributor.authorMasip Vilalta, Joan
dc.contributor.authorCamp, Ferran
dc.contributor.authorViana, R.G.
dc.contributor.authorEscolà i Agustí, Alexandre
dc.contributor.authorGràcia, Felip
dc.contributor.authorPlanas de Martí, Santiago
dc.contributor.authorMoltó, Enrique
dc.date.accessioned2016-01-18T12:39:39Z
dc.date.available2016-01-31T03:31:11Z
dc.date.issued2014
dc.identifier.issn1352-2310
dc.identifier.urihttp://hdl.handle.net/10459.1/49339
dc.description.abstractPesticide spray drift entails a series of risks and costs in terms of human, animal and environmental well-being. A proper understanding of this phenomenon is essential to minimise these risks. However, most conventional methods used in drift measurement are based on point collectors which are unable to obtain information concerning the temporal or spatial evolution of the pesticide cloud. Such methods are also costly, labour-intensive, and require a considerable amount of time. The aim of this paper is to propose a method to measure the spray drift based on lidar (LIght Detection And Ranging) and to prove that it can be an alternative to passive collectors. An analytical model is proposed to relate the measurements obtained through passive collectors and those obtained with lidar systems considering several spray application and meteorological parameters. The model was tested through an experimental campaign involving multiple ground spray tests. A lidar system and two types of passive collectors (nylon strings and water-sensitive paper) were used simultaneously to measure the drift. The results showed for each test a high coefficient of determination (R2 ≈ 0.90) between the lidar signal and the tracer mass captured by the nylon strings. This coefficient decreased (R2 = 0.77) when all tests were considered together. Lidar measurements were also used to study the evolution of the pesticide cloud with high range (1.5 m) and temporal resolution (1 s) and to estimate its velocity. Furthermore, a very satisfactory adjustment (R2 = 0.89) was observed between the tracer mass collected by the nylon lines and the coverage on water-sensitive paper sheets. These results are in accordance with the proposed analytical model and allow the conclusion that the application and meteorological parameters can be considered spatially invariant for a given test but are not invariant for different tests.ca_ES
dc.description.sponsorshipThis research was partially funded by the Spanish Ministry of Science and Innovation (projects AGL2007-66093-C04 and AGL2010-22304-C04) and EU FEDER.ca_ES
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relationMIECI/PN2004-2007/AGL2007-66093-C04ca_ES
dc.relationMICINN/PN2008-2011/AGL2010-22304-C04ca_ES
dc.relation.isformatofVersió postprint del document publicat a https://doi.org/10.1016/j.atmosenv.2013.09.028ca_ES
dc.relation.ispartofAtmospheric Environment, 2014, vol. 82, p. 83-93ca_ES
dc.rights(c) Elsevier, 2014ca_ES
dc.subjectLight detection and rangingca_ES
dc.subjectRemote sensingca_ES
dc.subjectSprayerca_ES
dc.subjectDropletca_ES
dc.subject.otherPesticidesca_ES
dc.subject.otherTeledeteccióca_ES
dc.subject.otherSensorsca_ES
dc.titleLIDAR as an alternative to passive collectors to measure pesticide spray driftca_ES
dc.typearticleca_ES
dc.identifier.idgrec022646
dc.type.versionacceptedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.atmosenv.2013.09.028


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