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通过开发 CFD-VOF-DPM 模型理解含颗粒农药液滴在水稻叶片上沉积的稀释效应。

Understanding dilution effects on particle-containing pesticide droplets deposition on rice leaf via developing CFD-VOF-DPM model.

机构信息

College of Engineering, Nanjing Agricultural University, Nanjing, China.

出版信息

Pest Manag Sci. 2024 Sep;80(9):4725-4735. doi: 10.1002/ps.8188. Epub 2024 May 28.

Abstract

BACKGROUND

Pesticide dilution is one of the essential aspects of plant protection. However, the effect of dilution on the deposition characteristics of pesticide droplets containing particulate additives on crop leaf surfaces remains unclear and warrants further research. Herein, a validated computational fluid dynamics (CFD)-volume of fluid (VOF)-discrete phase model (DPM) numerical model was developed to analyze the influence of particle content on the deposition behavior of droplets on the leaf surface comparatively, taking into account the particle content of different diluted thifluzamide solutions. Additionally, the study aimed to analyze further the kinetic behavior of pesticide droplets landing on rice leaves across different dilution conditions.

RESULTS

Pesticide droplets diluted 100-fold had a lower retraction rate during spreading than particle-free droplets, so the solution is more easily deposited in the leaves. Moreover, the low dilution (high concentration) increased the critical adhesion rate between droplets and rice leaves, inhibiting the bouncing of droplets on the leaf surface, thus promoting their effective deposition on the surface. In addition, low dilution (high concentration) is not conducive to spreading droplets when the impact velocity is high, and it also results in a large amount of pesticide use.

CONCLUSION

The actual application process can be through understanding the dilution factor of the configured pesticide solution, and reasonable adjustment of the nozzle pressure can effectively improve the utilization rate of pesticides and reduce the pollution brought by pesticides to the environment. These results provide an essential reference for studying pesticide droplet deposition characteristics, including rice plant protection and spraying technology. © 2024 Society of Chemical Industry.

摘要

背景

农药稀释是植物保护的重要环节之一。然而,含有颗粒添加剂的农药雾滴在稀释后其在作物叶片表面上的沉积特性仍不清楚,需要进一步研究。本文建立了一个经过验证的计算流体动力学(CFD)- 体积分数(VOF)-离散相模型(DPM)数值模型,以分析颗粒含量对雾滴在叶片表面沉积行为的影响,同时考虑了不同稀释噻呋酰胺溶液的颗粒含量。此外,本研究旨在进一步分析不同稀释条件下农药雾滴在水稻叶片上的动力学行为。

结果

稀释 100 倍的农药雾滴在扩展过程中的回缩率低于无颗粒雾滴,因此更容易沉积在叶片上。此外,低稀释(高浓度)增加了雾滴与水稻叶片之间的临界粘附速率,抑制了雾滴在叶片表面反弹,从而促进了它们在表面的有效沉积。此外,当撞击速度较高时,低稀释(高浓度)不利于扩展雾滴,并且还会导致大量农药的使用。

结论

实际应用过程可以通过了解配置农药溶液的稀释系数,并合理调整喷嘴压力,有效提高农药利用率,减少农药对环境的污染。这些结果为研究农药雾滴沉积特性提供了重要参考,包括水稻植保和喷雾技术。© 2024 化学工业协会。

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