Computations on the Volatilisation of the Fungicide Fenpropimorph from Plants in a Wind Tunnel

Leistra, M.; Wolters, André

doi:10.1023/b:wate.0000038883.86688.83

Cited by 21 publications

(37 citation statements)

References 12 publications

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“…The maximum difference is about a factor 2, and the average value is d lam = 0.43 mm. This value is somewhat below the average value of d lam = 0.6 mm used in the simulation of the volatilisation of fenpropimorph from plants in the wind tunnel 2…”

Section: General Discussion and Conclusionmentioning

confidence: 68%

“…The complete set of equations and further details of the process descriptions were given by Leistra and Wolters 2. The computations were done on an hourly basis, which allows the variation in environmental conditions within a day to be taken into account.…”

Section: Model Descriptionmentioning

confidence: 99%

“…Measurements on volatilisation in the field are laborious and expensive, so tools are needed for making comparatively quick first estimates. A computation model for pesticide volatilisation from plants has been developed,2, 3 but only some of the input data for such models are required in the current registration procedures. Consequently, missing input data need to be estimated from a diversity of research data for the pesticides.…”

Section: Introductionmentioning

confidence: 99%

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Volatilisation and competing processes computed for a pesticide applied to plants in a wind tunnel system

Leistra¹,

Wolters²,

Berg³

2008

Pest Management Science

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Section: General Discussion and Conclusionmentioning

confidence: 68%

Section: Model Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Volatilisation and competing processes computed for a pesticide applied to plants in a wind tunnel system

Leistra¹,

Wolters²,

Berg³

2008

Pest Management Science

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“…This diffusion is driven by the difference between the concentration in the air at the leaf surface and the concentration in the air just outside the boundary layer (Leistra and Wolters, 2004;Leistra and van den Berg, 2007;Leistra et al, 2005). Leistra and Wolters (2004) suggested using two mass conservation balances to describe the volatilisation process from plants: one for a well exposed deposit (initial fast volatilisation) and one for a poorly exposed deposit (continued slow volatilisation). However, it is difficult to determine the rate coefficients for phototransformation and penetration into the plants for both deposit classes.…”

Section: Discussionmentioning

confidence: 99%

Volatilisation of pesticides after application in vegetable greenhouses

Ngoc

Berg

Houbraken

et al. 2015

Science of The Total Environment

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“…air velocity and turbulence) and surface properties (e.g. temperature and roughness) (Leistra and Wolters 2004; FOCUS 2008; Lichiheb et al 2014; Houbraken et al 2016). We used default values of 0.06 and 0.1 cm for the thickness of the boundary air layers on plant leaves and soil surfaces, respectively (van den Berg et al 2016); sensitivity of rate of pesticide volatilisation to the value of d (Fig.…”

Section: Methodsmentioning

confidence: 99%

How does exposure to pesticides vary in space and time for residents living near to treated orchards?

Wong

Garthwaite

Ramwell

et al. 2017

Environ Sci Pollut Res

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This study investigated changes over 25 years (1987–2012) in pesticide usage in orchards in England and Wales and associated changes to exposure and risk for resident pregnant women living 100 and 1000 m downwind of treated areas. A model was developed to estimate aggregated daily exposure to pesticides via inhaled vapour and indirect dermal contact with contaminated ground, whilst risk was expressed as a hazard quotient (HQ) based on estimated exposure and the no observed (adverse) effect level for reproductive and developmental effects. Results show the largest changes occurred between 1987 and 1996 with total pesticide usage reduced by ca. 25%, exposure per unit of pesticide applied slightly increased, and a reduction in risk per unit exposure by factors of 1.3 to 3. Thereafter, there were no consistent changes in use between 1996 and 2012, with an increase in number of applications to each crop balanced by a decrease in average application rate. Exposure per unit of pesticide applied decreased consistently over this period such that values in 2012 for this metric were 48–65% of those in 1987, and there were further smaller decreases in risk per unit exposure. All aggregated hazard quotients were two to three orders of magnitude smaller than one, despite the inherent simplifications of assuming co-occurrence of exposure to all pesticides and additivity of effects. Hazard quotients at 1000 m were 5 to 16 times smaller than those at 100 m. There were clear signals of the impact of regulatory intervention in improving the fate and hazard profiles of pesticides used in orchards in England and Wales over the period investigated.Electronic supplementary materialThe online version of this article (10.1007/s11356-017-0064-5) contains supplementary material, which is available to authorized users.

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Computations on the Volatilisation of the Fungicide Fenpropimorph from Plants in a Wind Tunnel

Cited by 21 publications

References 12 publications

Volatilisation and competing processes computed for a pesticide applied to plants in a wind tunnel system

Volatilisation and competing processes computed for a pesticide applied to plants in a wind tunnel system

Volatilisation of pesticides after application in vegetable greenhouses

How does exposure to pesticides vary in space and time for residents living near to treated orchards?

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