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Analysis of Impact of Various Factors on Downwind Deposition Using a Simulation Method

机译:用模拟方法分析各种因素对顺风沉降的影响

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The drift of aerially applied crop protection and production materials is studied using a novel simulation-based design of experiments approach. Many factors that can potentially contribute to downwind deposition from aerial spray application are considered. This new approach can provide valuable information about the significant level of the impact from all factors and interactions among them that affect drift using simulation software such as AGDISP. The application efficiency, the total downwind drift, the cumulative downwind deposition between 30.48 m (100 ft) and 45.72 m (150 ft), and the deposition at 30.48 m (100 ft), 76.2 m (250 ft), and 152.4 m (500 ft) are established as the performance metrics. The most significant factors will be identified using statistical analysis based on simulation results, and suggestions for improvement will be made. Through preliminary study, the new simulation-based method has shown the potential for statistic analysis without conducting time-consuming field experiments. The new method can be used to search for the optimal spray conditions, which could be used to generate guidelines for applicators to achieve an optimal spray result. The effective use of simulation tool through the identification of significant factors can greatly simplify the field study.
机译:空中应用的作物保护和生产材料的漂移是使用基于仿真的新型实验设计方法进行研究的。考虑了许多可能导致空中喷洒造成顺风沉积的因素。这种新方法可以使用AGDISP等仿真软件,提供有关影响漂移的所有因素及其相互作用的重要程度的重要信息。施用效率,顺风总漂移,顺风累积沉积量在30.48 m(100 ft)和45.72 m(150 ft)之间以及在30.48 m(100 ft),76.2 m(250 ft)和152.4 m(建立500英尺)作为性能指标。将使用基于模拟结果的统计分析来确定最重要的因素,并提出改进建议。通过初步研究,新的基于仿真的方法显示了进行统计分析的潜力,而无需进行耗时的现场实验。该新方法可用于搜索最佳喷涂条件,可用于为喷头生成指导以实现最佳喷涂效果。通过识别重要因素来有效使用仿真工具可以大大简化现场研究。

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