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实时监测轴流风机风送式果园喷雾机飘移农药的颗粒

Real-time particle monitoring of pesticide drift from an axial fan airblast orchard sprayer.

机构信息

Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.

出版信息

J Expo Sci Environ Epidemiol. 2019 Apr;29(3):397-405. doi: 10.1038/s41370-018-0090-5. Epub 2018 Nov 13.

Abstract

In Washington State, a majority of reported pesticide-related illnesses and application-related complaints involve drift. We employed real-time particle monitors (Dylos) during a series of experimental spray events investigating drift. Sections of an orchard block were randomly sprayed by an axial fan airblast sprayer, while monitors sampled particulate matter above and below the canopy at various downwind locations. We found elevated particle mass concentrations (PMC) at all distances (16-74 m). The 75th percentile PMC while spraying was significantly greater than the control periods by 107 (95% CI 94-121) μg/m, after adjusting for sampler height and wind speed. The 75th percentile PMC below the canopy was significantly greater than above the canopy by 9.4 (95% CI 5.2-12) μg/m, after adjusting for spraying and wind speed. In a restricted analysis of the spray events, the 75th percentile PMC significantly decreased by 2.6 (95% CI -3.2 to -1.7) μg/m for every additional meter away from the edge of the spray quadrant, after adjusting for canopy height and wind speed. Our results were consistent with a larger study that performed passive sampling during the same spray events, suggesting that real-time monitoring can be used as a screening tool for pesticide drift. Compared with traditional methods of drift sampling, real-time monitoring is overall an easily employed, affordable sampling technique, and it can provide minute-by-minute measurements that can be coupled with meteorological measurements to better understand how changes in wind speed and direction affect drift.

摘要

在华盛顿州,大多数报告的与农药有关的疾病和与应用有关的投诉都涉及飘移。在一系列研究飘移的实验喷雾事件中,我们使用了实时粒子监测器(Dylos)。果园的一部分区域被轴向风扇喷雾器随机喷洒,而监测器在树冠上方和下方的各个下风位置采集颗粒物。我们发现,在所有距离(16-74 米)处,颗粒物质量浓度(PMC)都升高了。调整采样器高度和风速后,喷雾时的第 75 个百分位数 PMC 比对照期显著高出 107(95%置信区间 94-121)μg/m。调整了喷雾和风速后,树冠下的第 75 个百分位数 PMC 比树冠上的显著高出 9.4(95%置信区间 5.2-12)μg/m。在对喷雾事件的限制分析中,调整树冠高度和风速后,距离喷雾象限边缘每增加一米,第 75 个百分位数 PMC 显著降低 2.6(95%置信区间-3.2 至-1.7)μg/m。我们的结果与在同一喷雾事件中进行被动采样的更大规模研究一致,表明实时监测可作为农药飘移的筛选工具。与传统的飘移采样方法相比,实时监测总体上是一种易于采用且经济实惠的采样技术,它可以提供每分钟的测量值,并与气象测量值相结合,以更好地了解风速和风向的变化如何影响飘移。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88da/6469994/a9b0ede755d9/nihms-1510934-f0001.jpg

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