globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2017.12.001
Scopus记录号: 2-s2.0-85037678993
论文题名:
CFD simulation of pesticide spray from air-assisted sprayers in an apple orchard: Tree deposition and off-target losses
作者: Hong S; -W; , Zhao L; , Zhu H
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 175
起始页码: 109
结束页码: 119
语种: 英语
英文关键词: Ground deposition ; Pesticide flow ; Porous modeling ; Spray drifts
Scopus关键词: Air ; Computational fluid dynamics ; Deposition ; Drops ; Farms ; Forestry ; Fruits ; Orchards ; Wind ; Air-assisted sprayer ; Computational fluid dynamics modeling ; Deposition modeling ; Lagrangian particles ; Pesticide droplets ; Porous model ; Spray concentrations ; Spray drift ; Pesticides ; pesticide ; canopy ; computational fluid dynamics ; concentration (composition) ; deposition ; displacement ; environmental fate ; equipment ; error analysis ; mass balance ; model validation ; orchard ; pesticide ; porous medium ; spray ; turbulent flow ; wind velocity ; air temperature ; apple ; Article ; canopy ; computational fluid dynamics ; controlled study ; density ; energy ; energy balance ; growth curve ; humidity ; leaf area ; measurement ; molecular weight ; orchard ; oscillation ; pesticide spraying ; priority journal ; simulation ; surface tension ; thermal conductivity ; vaporization ; velocity ; viscosity ; weather ; wind ; Malus x domestica
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: The ultimate goal of a pesticide spraying system is to provide adequate coverage on intended canopies with a minimum amount of spray materials and off-target waste. Better spray coverage requires an understanding of the fate and transport of spray droplets carried by turbulent airflows in orchards. In this study, an integrated computational fluid dynamics (CFD) model was developed to predict displacement of pesticide spray droplets discharged from an air-assisted sprayer, depositions onto tree canopies, and off-target deposition and airborne drift in an apple orchard. Pesticide droplets discharged from a moving sprayer were tracked using the Lagrangian particle transport model, and the deposition model was applied to droplets entering porous canopy zones. Measurements of the droplet deposition and drift in the same orchard were used to validate the model simulations. Good agreement was found between the measured and simulated spray concentrations inside tree canopies and off-target losses (ground deposition and airborne drifts) with the overall relative errors of 22.1% and 40.6%, respectively, under three growth stages. The CFD model was able to estimate the mass balance of pesticide droplets in the orchard, which was practically difficult to investigate by measurements in field conditions. As the foliage of trees became denser, spray deposition inside canopies increased from 8.5% to 65.8% and airborne drift and ground deposition decreased from 25.8% to 7.0% and 47.8% to 21.2%, respectively. Higher wind speed also increased the spray airborne drift downwind of the orchard. This study demonstrates that CFD model can be used to evaluate spray application performance and design and operate sprayers with increased spray efficiencies and reduced drift potentials. © 2017 Elsevier Ltd
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83102
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Department of Food, Agricultural and Biological Engineering, The Ohio State University, 59 Woody Hayes Drive, Columbus, OH, United States; USDA-ARS Application Technology Research Unit, 1680 Madison Avenue, Wooster, OH, United States

Recommended Citation:
Hong S,-W,, Zhao L,et al. CFD simulation of pesticide spray from air-assisted sprayers in an apple orchard: Tree deposition and off-target losses[J]. Atmospheric Environment,2018-01-01,175
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Hong S]'s Articles
[-W]'s Articles
[, Zhao L]'s Articles
百度学术
Similar articles in Baidu Scholar
[Hong S]'s Articles
[-W]'s Articles
[, Zhao L]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Hong S]‘s Articles
[-W]‘s Articles
[, Zhao L]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.