LIDAR as an alternative to passive collectors to measure pesticide spray drift

Pesticide spray drift entails a series of risks and costs in terms of human, animal and environmental wellbeing. 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...

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Autores principales: Gregorio, Eduard, Rosell-Polo, Joan R., Sanz, Ricardo, Rocadenbosch, Francesc, Solanelles, Francesc, Garcerá, Cruz, Chueca, Patricia, Arnó, Jaume, del Moral, Ignacio, Masip, Joan, Camp, Ferran, Viana, Rafael, Escola, Alexandre, Gracia, Felip, Planas, Santiago, Moltó, Enrique
Formato: article
Lenguaje:Inglés
Publicado: 2017
Acceso en línea:http://hdl.handle.net/20.500.11939/5334
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author Gregorio, Eduard
Rosell-Polo, Joan R.
Sanz, Ricardo
Rocadenbosch, Francesc
Solanelles, Francesc
Garcerá, Cruz
Chueca, Patricia
Arnó, Jaume
del Moral, Ignacio
Masip, Joan
Camp, Ferran
Viana, Rafael
Escola, Alexandre
Gracia, Felip
Planas, Santiago
Moltó, Enrique
author_browse Arnó, Jaume
Camp, Ferran
Chueca, Patricia
Escola, Alexandre
Garcerá, Cruz
Gracia, Felip
Gregorio, Eduard
Masip, Joan
Moltó, Enrique
Planas, Santiago
Rocadenbosch, Francesc
Rosell-Polo, Joan R.
Sanz, Ricardo
Solanelles, Francesc
Viana, Rafael
del Moral, Ignacio
author_facet Gregorio, Eduard
Rosell-Polo, Joan R.
Sanz, Ricardo
Rocadenbosch, Francesc
Solanelles, Francesc
Garcerá, Cruz
Chueca, Patricia
Arnó, Jaume
del Moral, Ignacio
Masip, Joan
Camp, Ferran
Viana, Rafael
Escola, Alexandre
Gracia, Felip
Planas, Santiago
Moltó, Enrique
author_sort Gregorio, Eduard
collection ReDivia
description Pesticide spray drift entails a series of risks and costs in terms of human, animal and environmental wellbeing. 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 (R-2 approximate to 0.90) between the lidar signal and the tracer mass captured by the nylon strings. This coefficient decreased (R-2 = 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 (R-2 = 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. C) 2013 Elsevier Ltd. All rights reserved.
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spelling ReDivia53342025-04-25T14:42:06Z LIDAR as an alternative to passive collectors to measure pesticide spray drift Gregorio, Eduard Rosell-Polo, Joan R. Sanz, Ricardo Rocadenbosch, Francesc Solanelles, Francesc Garcerá, Cruz Chueca, Patricia Arnó, Jaume del Moral, Ignacio Masip, Joan Camp, Ferran Viana, Rafael Escola, Alexandre Gracia, Felip Planas, Santiago Moltó, Enrique Pesticide spray drift entails a series of risks and costs in terms of human, animal and environmental wellbeing. 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 (R-2 approximate to 0.90) between the lidar signal and the tracer mass captured by the nylon strings. This coefficient decreased (R-2 = 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 (R-2 = 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. C) 2013 Elsevier Ltd. All rights reserved. 2017-06-01T10:12:10Z 2017-06-01T10:12:10Z 2014 JAN article acceptedVersion Gregorio, Eduard, Rosell-Polo, J.R., Sanz, R., Rocadenbosch, Francesc, Solanelles, Francesc, Garcerá, C., Chueca, P., Arno, Jaume, del Moral, I., Masip, Joan, Camp, Ferran, Viana, Rafael, Escola, Alexandre, Gracia, Felip, Planas, Santiago, Moltó, E. (2014). LIDAR as an alternative to passive collectors to measure pesticide spray drift. Atmospheric Environment, 82, 83-93. 1352-2310 http://hdl.handle.net/20.500.11939/5334 10.1016/j.atmosenv.2013.09.028 en openAccess Impreso
spellingShingle Gregorio, Eduard
Rosell-Polo, Joan R.
Sanz, Ricardo
Rocadenbosch, Francesc
Solanelles, Francesc
Garcerá, Cruz
Chueca, Patricia
Arnó, Jaume
del Moral, Ignacio
Masip, Joan
Camp, Ferran
Viana, Rafael
Escola, Alexandre
Gracia, Felip
Planas, Santiago
Moltó, Enrique
LIDAR as an alternative to passive collectors to measure pesticide spray drift
title LIDAR as an alternative to passive collectors to measure pesticide spray drift
title_full LIDAR as an alternative to passive collectors to measure pesticide spray drift
title_fullStr LIDAR as an alternative to passive collectors to measure pesticide spray drift
title_full_unstemmed LIDAR as an alternative to passive collectors to measure pesticide spray drift
title_short LIDAR as an alternative to passive collectors to measure pesticide spray drift
title_sort lidar as an alternative to passive collectors to measure pesticide spray drift
url http://hdl.handle.net/20.500.11939/5334
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