Landscape-level assessment of spray drift – A virtual experiment using the Droplet and Atmospheric Dispersion drift (DAD-drift) model

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2025-04-02 DOI:10.1016/j.envsoft.2025.106455
Mike Devin Fuchs , Sebastian Gebler , Andreas Lorke
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Abstract

Spray drift significantly contributes to the off-target movement of pesticides. While factors influencing spray drift at the field scale, such as environmental conditions, equipment, and buffer zones, are well understood, deposition at landscape scale, is influenced by additional factors including landscape characteristics and the proximity of non-target areas. The DAD-drift model accounts for the physical basis of spray drift, application location, wind direction, and deposition at the landscape scale. In a virtual experiment we compared DAD-drift with simplified spatial representations of application areas, commonly used in other modelling approaches, the results showed large differences in spray drift predictions. In a second virtual experiment, results from DAD-drift were analyzed using multiple linear regressions to identify spray drift drivers at the landscape scale. Results showed that the droplet size distribution, determined by nozzle type, closely followed by proximity to non-target area, are the two most influential factors determining deposition in non-target areas.

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喷雾漂移的景观级评估-使用液滴和大气弥散漂移(DAD-drift)模型的虚拟实验
喷洒漂移在很大程度上造成了农药的非目标移动。虽然影响田间喷洒漂移的因素(如环境条件、设备和缓冲区)已广为人知,但景观尺度上的沉积却受到其他因素的影响,包括景观特征和非目标区域的邻近性。DAD 漂移模型考虑了喷洒漂移的物理基础、施药位置、风向和景观尺度的沉积。在一次虚拟实验中,我们将 DAD 漂移与其他建模方法常用的施药区域简化空间表示法进行了比较,结果表明两者在喷洒漂移预测方面存在很大差异。在第二个虚拟实验中,我们使用多元线性回归分析了 DAD 漂移的结果,以确定景观尺度上的喷雾漂移驱动因素。结果表明,由喷嘴类型决定的液滴大小分布是决定非目标区域沉积的两个最有影响的因素,紧随其后的是与非目标区域的距离。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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