Research on the deposition law of the spray droplet group based on single droplet multiphase flow simulation

In recent years, there has been a frequent occurrence of large-scale pests and diseases, leading to a dramatic increase in the application of pesticides. This practice presents a significant challenge to both the environment and human health. Citrus and apple trees are the most extensively cultivate...

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Published in:	Journal of cleaner production Vol. 423; p. 138605
Main Authors:	Chen, Chongchong, Li, Shougen, Wu, Xiaoyi, Li, Jiale, Jia, Yalan, Kang, Feng, Wang, Yaxiong
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.10.2023
Subjects:	Agroforestry plant protection apples application volume China Citrus contact angle Deposition efficiency Droplet population droplet size droplets fruit trees fruits human health indirect contact Individual droplet leaf angle leaf area Leaf tilt angle leaves liquids Optimal parameters pesticide application pesticides China Agroforestry plant protection Optimal parameters Deposition efficiency Droplet population Leaf tilt angle Individual droplet
ISSN:	0959-6526, 1879-1786
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Abstract	In recent years, there has been a frequent occurrence of large-scale pests and diseases, leading to a dramatic increase in the application of pesticides. This practice presents a significant challenge to both the environment and human health. Citrus and apple trees are the most extensively cultivated fruit trees in China, resulting in a significant amount of pesticide usage annually. In an effort to enhance the utilization efficiency of pesticides and decrease the volume of pesticide application, this article employs citrus and apple branches as target subjects to simulate current application parameters. By comparing the deposition quantity of pesticide per unit leaf area under identical application amounts, we summarize the optimal application parameters for these two fruit tree species. Under the optimal application parameters, the application volume of the pesticide solution experienced a reduction of approximately 30% compared to the average application amount. Simultaneously, this article conducted a single droplet impact simulation, and the simulation results were in line with the deposition test principles of droplet groups. The liquid deposition rate is higher when the leaf inclination angle, droplet velocity, droplet size, and the indirect contact angle between the liquid and the leaf are smaller. This study provides guidance on parameter selection for pesticide application in citrus and apple cultivation, while also serving as a methodological reference for research in other areas of atomizer technology. [Display omitted]
AbstractList	In recent years, there has been a frequent occurrence of large-scale pests and diseases, leading to a dramatic increase in the application of pesticides. This practice presents a significant challenge to both the environment and human health. Citrus and apple trees are the most extensively cultivated fruit trees in China, resulting in a significant amount of pesticide usage annually. In an effort to enhance the utilization efficiency of pesticides and decrease the volume of pesticide application, this article employs citrus and apple branches as target subjects to simulate current application parameters. By comparing the deposition quantity of pesticide per unit leaf area under identical application amounts, we summarize the optimal application parameters for these two fruit tree species. Under the optimal application parameters, the application volume of the pesticide solution experienced a reduction of approximately 30% compared to the average application amount. Simultaneously, this article conducted a single droplet impact simulation, and the simulation results were in line with the deposition test principles of droplet groups. The liquid deposition rate is higher when the leaf inclination angle, droplet velocity, droplet size, and the indirect contact angle between the liquid and the leaf are smaller. This study provides guidance on parameter selection for pesticide application in citrus and apple cultivation, while also serving as a methodological reference for research in other areas of atomizer technology. In recent years, there has been a frequent occurrence of large-scale pests and diseases, leading to a dramatic increase in the application of pesticides. This practice presents a significant challenge to both the environment and human health. Citrus and apple trees are the most extensively cultivated fruit trees in China, resulting in a significant amount of pesticide usage annually. In an effort to enhance the utilization efficiency of pesticides and decrease the volume of pesticide application, this article employs citrus and apple branches as target subjects to simulate current application parameters. By comparing the deposition quantity of pesticide per unit leaf area under identical application amounts, we summarize the optimal application parameters for these two fruit tree species. Under the optimal application parameters, the application volume of the pesticide solution experienced a reduction of approximately 30% compared to the average application amount. Simultaneously, this article conducted a single droplet impact simulation, and the simulation results were in line with the deposition test principles of droplet groups. The liquid deposition rate is higher when the leaf inclination angle, droplet velocity, droplet size, and the indirect contact angle between the liquid and the leaf are smaller. This study provides guidance on parameter selection for pesticide application in citrus and apple cultivation, while also serving as a methodological reference for research in other areas of atomizer technology. [Display omitted]
ArticleNumber	138605
Author	Jia, Yalan Kang, Feng Wang, Yaxiong Wu, Xiaoyi Li, Jiale Li, Shougen Chen, Chongchong
Author_xml	– sequence: 1 givenname: Chongchong surname: Chen fullname: Chen, Chongchong organization: School of Technology, Beijing Forestry University, Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, 10083, China – sequence: 2 givenname: Shougen surname: Li fullname: Li, Shougen organization: Beijing Institute of Petrochemical Technology, Beijing, 10083, China – sequence: 3 givenname: Xiaoyi surname: Wu fullname: Wu, Xiaoyi organization: Beihang University, Beijing, 10083, China – sequence: 4 givenname: Jiale surname: Li fullname: Li, Jiale organization: School of Technology, Beijing Forestry University, Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, 10083, China – sequence: 5 givenname: Yalan surname: Jia fullname: Jia, Yalan organization: Army Aviation Institute, Beijing, 100083, China – sequence: 6 givenname: Feng surname: Kang fullname: Kang, Feng email: kangfeng98@bjfu.edu.cn organization: School of Technology, Beijing Forestry University, Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, 10083, China – sequence: 7 givenname: Yaxiong surname: Wang fullname: Wang, Yaxiong email: yaxiongwang87@bjfu.edu.cn organization: School of Technology, Beijing Forestry University, Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, 10083, China
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Keywords	Agroforestry plant protection Optimal parameters Deposition efficiency Droplet population Leaf tilt angle Individual droplet
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Snippet	In recent years, there has been a frequent occurrence of large-scale pests and diseases, leading to a dramatic increase in the application of pesticides. This...
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SubjectTerms	Agroforestry plant protection apples application volume China Citrus contact angle Deposition efficiency Droplet population droplet size droplets fruit trees fruits human health indirect contact Individual droplet leaf angle leaf area Leaf tilt angle leaves liquids Optimal parameters pesticide application pesticides
Title	Research on the deposition law of the spray droplet group based on single droplet multiphase flow simulation
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