2020
DOI: 10.18174/524224
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Ditch parameterisation for the aquatic exposure assessment of plant protection products in the Netherlands by sideways and upward spraying in fruit orchards

Abstract: Pests and diseases in fruit-orchards and lane tree-nurseries are frequently treated with pesticides, that are applied by sideways or upward spraying. To assess the risk to aquatic organisms associated with the application of these pesticides, specific scenarios are required as part of a tiered assessment scheme. In these scenarios, next to spray drift, drainage is included as well as entry route of pesticide in the ditch. This report describes the hydrological parameterisation of the edge-of-field ditch model … Show more

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Cited by 3 publications
(14 citation statements)
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“…We refer to Ter Horst et al ( 2020) for further detail. Also the parameterisation of the soil-hydrological model (SWAP) underlying the PEARL model is described in Ter Horst et al (2020). The parameterisation of the evaluation ditch is discussed in Chapter 5.…”
Section: Parameterisation Of Drainage Emission Scenariomentioning
confidence: 99%
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“…We refer to Ter Horst et al ( 2020) for further detail. Also the parameterisation of the soil-hydrological model (SWAP) underlying the PEARL model is described in Ter Horst et al (2020). The parameterisation of the evaluation ditch is discussed in Chapter 5.…”
Section: Parameterisation Of Drainage Emission Scenariomentioning
confidence: 99%
“…Each of these strips contribute to drainpipes that discharge to the edge-of-field ditch. Given that the soil-hydrological model (SWAP model) is a one-dimensional model, Ter Horst et al (2020) concluded that the most realistic approach would be to simulate drainage discharge fluxes for the tree strip and the grass strip as separate systems and to merge the water and pesticide mass fluxes in a follow up step based on area weighting 10 (on a 1-h basis). Below the parameterisation of the pesticide fate model (PEARL) is discussed, that uses the hydrological output from the hydrological model.…”
Section: Figure 24mentioning
confidence: 99%
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