Influence of the atmospheric boundary layer stability on aerial spraying studied by computational fluid dynamics

文献类型： 外文期刊

第一作者： Tang, Qing

作者： Tang, Qing;Zhang, Ruirui;Chen, Liping;Deng, Wei;Xu, Min;Xu, Gang;Li, Longlong;Tang, Qing;Zhang, Ruirui;Chen, Liping;Deng, Wei;Xu, Min;Xu, Gang;Li, Longlong;Tang, Qing;Zhang, Ruirui;Chen, Liping;Deng, Wei;Xu, Min;Xu, Gang;Li, Longlong

作者机构：

关键词： Aerial application; Computational fluid dynamics; Droplet drift; Atmospheric stability; Wing tip vortex

期刊名称：BIOSYSTEMS ENGINEERING （ 影响因子：5.002； 五年影响因子：5.321 ）

ISSN： 1537-5110

年卷期： 2022 年 215 卷

页码：

收录情况： SCI

摘要： Atmospheric stability can significantly influence the spray drift in aerial applications; however, to date its effects remain unclear. In this study, a large spatiotemporal aerial application simulation model was constructed using different atmospheric boundary layer (ABL) stabilities. Three sets of ABL stability conditions were considered: unstable, stable, and neutral. Velocity, temperature, turbulence kinetic energy, and turbulence dissipation rate were set in detail as boundary conditions. The simulation results indicated that, using a simulation of the typical fixed-wing agricultural aircraft operating at typical altitudes and speeds, the upwind vortex decays more slowly than the downwind vortex, while the movement of the downwind vortex is also faster. The strength of the vortex was found to influence the droplet concentration. Droplets dispersed more quickly under unstable conditions probably because of the turbulent kinetic energy were greater. Droplets under stable conditions moved much rapidly downwind but drifted at lower altitudes than under unstable conditions. The diameter of most of the drift spray droplets was <100 mm. The simulation results indicated that off-target deposition in the stable case was greater than in the unstable case by nearly 300% around at downwind distances of 100 m, 180 m, 700 m, and ~200% at around 220 m and 550 m. Therefore, unstable atmospheric conditions, which are most likely to occur from 06:00 and 19:00 during a day appear to be a better choice for reducing drift losses. The simulation results are expected to help improve the comprehensive understanding of aerial application drift and to assist in choosing appropriate times and conditions to perform such operations.(c) 2022 IAgrE. Published by Elsevier Ltd. All rights reserved.

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