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Model construction and validation of airflow velocity attenuation through pear tree canopies

To investigate the airflow velocity attenuation inside pear tree canopies and the factors that influence its effect on air-assisted spraying, the relationship between the resistance of the canopies to airflow and airflow velocity inside the canopies was determined. At the same time, the theoretical...

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Autores principales: Zhang, Fubin, Sun, Hao, Qiu, Wei, Lv, Xiaolan, Chen, Yunfu, Zhao, Guozhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678923/
https://www.ncbi.nlm.nih.gov/pubmed/36426153
http://dx.doi.org/10.3389/fpls.2022.1026503
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author Zhang, Fubin
Sun, Hao
Qiu, Wei
Lv, Xiaolan
Chen, Yunfu
Zhao, Guozhu
author_facet Zhang, Fubin
Sun, Hao
Qiu, Wei
Lv, Xiaolan
Chen, Yunfu
Zhao, Guozhu
author_sort Zhang, Fubin
collection PubMed
description To investigate the airflow velocity attenuation inside pear tree canopies and the factors that influence its effect on air-assisted spraying, the relationship between the resistance of the canopies to airflow and airflow velocity inside the canopies was determined. At the same time, the theoretical model of airflow velocity attenuation in the canopy was constructed, in which the velocity attenuation factor k and the incoming velocity were the model input values, and the airflow velocity in the canopy was the model output value. Then, experimental verification of the theoretical model was completed. The determination test of airflow velocity inside canopies with three leaf area densities revealed that the error range between the established theoretical model and the experimental airflow velocity inside the pear tree canopy was 0.11–1.25 m/s, and the mean size of the model accuracy was 83.4% under various working conditions. The results revealed that the region from a depth of 0 m to 0.3 m inside the canopy was the rapid attenuation area of the airflow and that from 0.3 m to 0.9 m was the low attenuation area. Furthermore, they revealed that high-speed airflow could strongly disturb the outer branches and leaves, greatly changing the windward area of the canopy blades and thus affecting the accuracy of the model. By introducing a dynamic parameter of the canopy leaf windward area for model correction, the R(2) of the model was above 0.9. Finally, validation of the model was performed in an air-assisted spraying operation in an orchard. This study can provide a theoretical basis for the regulation of airflow parameters of air-assisted spraying of pear trees.
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spelling pubmed-96789232022-11-23 Model construction and validation of airflow velocity attenuation through pear tree canopies Zhang, Fubin Sun, Hao Qiu, Wei Lv, Xiaolan Chen, Yunfu Zhao, Guozhu Front Plant Sci Plant Science To investigate the airflow velocity attenuation inside pear tree canopies and the factors that influence its effect on air-assisted spraying, the relationship between the resistance of the canopies to airflow and airflow velocity inside the canopies was determined. At the same time, the theoretical model of airflow velocity attenuation in the canopy was constructed, in which the velocity attenuation factor k and the incoming velocity were the model input values, and the airflow velocity in the canopy was the model output value. Then, experimental verification of the theoretical model was completed. The determination test of airflow velocity inside canopies with three leaf area densities revealed that the error range between the established theoretical model and the experimental airflow velocity inside the pear tree canopy was 0.11–1.25 m/s, and the mean size of the model accuracy was 83.4% under various working conditions. The results revealed that the region from a depth of 0 m to 0.3 m inside the canopy was the rapid attenuation area of the airflow and that from 0.3 m to 0.9 m was the low attenuation area. Furthermore, they revealed that high-speed airflow could strongly disturb the outer branches and leaves, greatly changing the windward area of the canopy blades and thus affecting the accuracy of the model. By introducing a dynamic parameter of the canopy leaf windward area for model correction, the R(2) of the model was above 0.9. Finally, validation of the model was performed in an air-assisted spraying operation in an orchard. This study can provide a theoretical basis for the regulation of airflow parameters of air-assisted spraying of pear trees. Frontiers Media S.A. 2022-11-08 /pmc/articles/PMC9678923/ /pubmed/36426153 http://dx.doi.org/10.3389/fpls.2022.1026503 Text en Copyright © 2022 Zhang, Sun, Qiu, Lv, Chen and Zhao https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Zhang, Fubin
Sun, Hao
Qiu, Wei
Lv, Xiaolan
Chen, Yunfu
Zhao, Guozhu
Model construction and validation of airflow velocity attenuation through pear tree canopies
title Model construction and validation of airflow velocity attenuation through pear tree canopies
title_full Model construction and validation of airflow velocity attenuation through pear tree canopies
title_fullStr Model construction and validation of airflow velocity attenuation through pear tree canopies
title_full_unstemmed Model construction and validation of airflow velocity attenuation through pear tree canopies
title_short Model construction and validation of airflow velocity attenuation through pear tree canopies
title_sort model construction and validation of airflow velocity attenuation through pear tree canopies
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678923/
https://www.ncbi.nlm.nih.gov/pubmed/36426153
http://dx.doi.org/10.3389/fpls.2022.1026503
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