Publicou 12 edições por ano
ISSN Imprimir: 1044-5110
ISSN On-line: 1936-2684
IF:
1.2
5-Year IF:
1.8
Immediacy Index:
0.3
Eigenfactor:
0.00095
JCI:
0.28
SJR:
0.341
SNIP:
0.536
CiteScore™::
1.9
H-Index:
57
Indexed in
EXTRAPOLATION OF DROPLET CATCH MEASUREMENTS IN AEROSOL APPLICATION TREATMENTS
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RESUMO
This paper reports on the methodology to quantify remote measurements of airborne aerosols using a light detection and ranging (LIDAR) system. Calibration with both active and passive sampling techniques was examined in a field study to define the use of calibrated LIDAR to quantify spray distribution across both space and time. The LIDAR was used to scan vertical cross-sections of the spray plume downwind from a moving sprayer path. Active and passive field samplers were used to obtain the spray collection at 10 m from the sprayer path (at 500 m from LIDAR). A thermal fogger and two ultra-low-volume aerosol applicators were used to produce aerosol spray in both day and nighttime applications. The results showed linear relationships between LIDAR backscatter from the spray plume and spray tracer collection on samplers (R2 ≈ 0.77). A linear transfer function from the active samplers was applied to quantify spray plume flux across scanned cross-sections at various distances from the spray path. Plume-to-plume variability statistics were consistent with previous studies in turbulent atmospheres. Examples of LIDAR plume cross-section scans with extrapolated plume fluxing downwind are presented.
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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, Escolà Alexandre, Gràcia Felip, Planas Santiago, Moltó Enrique, LIDAR as an alternative to passive collectors to measure pesticide spray drift, Atmospheric Environment, 82, 2014. Crossref
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Gil Emilio, Llorens Jordi, Llop Jordi, Fàbregas Xavier, Gallart Montserrat, Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying, Sensors, 13, 1, 2013. Crossref
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Farooq Muhammad, Waits Christy, Suitability of Mixing Fluorescent Dye in Adulticides and its Impact on Droplet Characteristics and Pesticide Efficacy1, Journal of the American Mosquito Control Association, 31, 4, 2015. Crossref
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Gregorio Eduard, Torrent Xavier, Planas de Martí Santiago, Solanelles Francesc, Sanz Ricardo, Rocadenbosch Francesc, Masip Joan, Ribes-Dasi Manel, Rosell-Polo Joan, Measurement of Spray Drift with a Specifically Designed Lidar System, Sensors, 16, 4, 2016. Crossref
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Duga Ashenafi T., Delele Mulugeta A., Ruysen Kris, Dekeyser Donald, Nuyttens David, Bylemans Dany, Nicolai Bart M., Verboven Pieter, Development and validation of a 3D CFD model of drift and its application to air-assisted orchard sprayers, Biosystems Engineering, 154, 2017. Crossref
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Gregorio Eduard, Rocadenbosch Francesc, Sanz Ricardo, Rosell-Polo Joan, Eye-Safe Lidar System for Pesticide Spray Drift Measurement, Sensors, 15, 2, 2015. Crossref
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Gregorio Eduard, Gené Jordi, Sanz Ricardo, Rocadenbosch Francesc, Chueca Patricia, Arnó Jaume, Solanelles Francesc, Rosell-Polo Joan R., Polarization Lidar Detection of Agricultural Aerosol Emissions, Journal of Sensors, 2018, 2018. Crossref
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Gregorio Eduard, Torrent Xavier, Planas Santiago, Rosell-Polo Joan R., Assessment of spray drift potential reduction for hollow-cone nozzles: Part 2. LiDAR technique, Science of The Total Environment, 687, 2019. Crossref
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Garcia-Santos Glenda, Review: Use of tracers to assess pesticide drift exposure in soil and human, in Exposure and Risk Assessment of Pesticide Use in Agriculture, 2021. Crossref
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Dhar Sushmit, Khawaja Hassan Abbas, Recognizing potential of LiDAR for comprehensive measurement of sea spray flux for improving the prediction of marine icing in cold conditions - A review, Ocean Engineering, 223, 2021. Crossref
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Seol Jaehwi, Kim Jeongeun, Son Hyoung Il, Spray Drift Segmentation for Intelligent Spraying System Using 3D Point Cloud Deep Learning Framework, IEEE Access, 10, 2022. Crossref