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PMID: 19731259 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Recent advances in computational fluid dynamics relevant to the modelling of pesticide flow on leaf surfaces.

Pest management science ·Vol. 66 ·No. 1 ·2010-01-00 ·页码 2-9

Glass CR, Walters KF, Gaskell PH, Lee YC, Thompson HM, Emerson DR, Gu XJ

Abstract

Increasing societal and governmental concern about the worldwide use of chemical pesticides is now providing strong drivers towards maximising the efficiency of pesticide utilisation and the development of alternative control techniques. There is growing recognition that the ultimate goal of achieving efficient and sustainable pesticide usage will require greater understanding of the fluid mechanical mechanisms governing the delivery to, and spreading of, pesticide droplets on target surfaces such as leaves. This has led to increasing use of computational fluid dynamics (CFD) as an important component of efficient process design with regard to pesticide delivery to the leaf surface. This perspective highlights recent advances in CFD methods for droplet spreading and film flows, which have the potential to provide accurate, predictive models for pesticide flow on leaf surfaces, and which can take account of each of the key influences of surface topography and chemistry, initial spray deposition conditions, evaporation and multiple droplet spreading interactions. The mathematical framework of these CFD methods is described briefly, and a series of new flow simulation results relevant to pesticide flows over foliage is provided. The potential benefits of employing CFD for practical process design are also discussed briefly.

MeSH 主题词
Models, Chemical Pesticides/chemistry Plant Leaves
化学物质
Pesticides
作者与单位
共 7 位作者,点击展开单位 / ORCID
Glass C Richard
Food and Environment Research Agency, Sand Hutton, York, UK. [email protected]
Walters Keith F A
Gaskell Philip H
Lee Yeaw C
Thompson Harvey M
Emerson David R
Gu Xiao-Jun
Article Info
Journal
Pest management science
Abbr.
Pest Manag Sci
ISSN
1526-4998
Corresponding email
Published
2010-01-00
页码
2-9
Language
English
Country/Region
England
NLM ID
100898744
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