2002
DOI: 10.1002/ps.596
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Parameterisation, evaluation and comparison of pesticide leaching models to data from a Bologna field site, Italy

Abstract: Effective prediction of pesticide fate using mathematical models requires good process descriptions in the models and good choice of parameter values by the user. This paper examines the ability of seven pesticide leaching models (LEACHP, MACRO, PELMO, PESTLA, PLM, PRZM and VARLEACH) to describe an arable field environment where sunflowers are grown in the Po Valley, northern Italy. Two pesticides were considered, aclonifen and ethoprophos. The models were evaluated in terms of their ability to reproduce field… Show more

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Cited by 19 publications
(22 citation statements)
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“…Their work conclusion was that none of these models describe water percolation and pesticide leaching to a complete degree of satisfaction. Although, over the experimentation period ([10 months), the best results on water percolation and pesticide tracer came from PESTLA and SIMULAT, Garratt et al (2003) compared the capacity of seven pesticide models to predict the propagation of aclonifen and ethoprophos in an environment of arable soil. The tested models were VARLEACH, LEACHP, PESTLA, MACRO, PRZM, PELMO, and PLM.…”
Section: Constructed Wetland Modelingmentioning
confidence: 99%
See 1 more Smart Citation
“…Their work conclusion was that none of these models describe water percolation and pesticide leaching to a complete degree of satisfaction. Although, over the experimentation period ([10 months), the best results on water percolation and pesticide tracer came from PESTLA and SIMULAT, Garratt et al (2003) compared the capacity of seven pesticide models to predict the propagation of aclonifen and ethoprophos in an environment of arable soil. The tested models were VARLEACH, LEACHP, PESTLA, MACRO, PRZM, PELMO, and PLM.…”
Section: Constructed Wetland Modelingmentioning
confidence: 99%
“…Besides, a detailed description of the models was provided. The interested reader is referred either to review compiled databases such as CAMASE (Bergamaschi and Putti 1999), REM (Register of Ecological Models 2006), or to review papers such as (Vink et al 1997;Vanclooster et al 2000, (FOCUS 2000Jones and Russell 2001;Dubus et al 2002;Garratt et al 2003). Vink et al (1997) studied unsaturated transport of the nematicide aldicarb and the herbicide simazine in a cracked clay soil.…”
Section: Constructed Wetland Modelingmentioning
confidence: 99%
“…The models also consider sorption and retarded intra-aggregate diffusion as predominant processes. Herbicide transport in wet or saturated soils appears to be largely controlled by this hierarchical partitioning of porosity and/or permeability combined with the sorption/intra-aggregate diffusion behaviour of herbicides (e. g. Larsson and Jarvis, 1999;Gottesbüren et al, 2000;Garratt et al, 2003). Moreover, when the soil aggregates are nearly saturated, very slow herbicide diffusion in soil solutions of wet aggregates (e.g.…”
Section: Introductionmentioning
confidence: 98%
“…Besides, a detailed description of the models was provided. The interested reader is referred to review compiled databases as CAMASE (Bergamaschi et Putti, 1999), REM (REM, 2007), or to review papers such as Vink et al (1997), Vanclooster et al (2000), FOCUS (2000), Jones and Russel (2001), Dubus et al (2002) and Garratt et al (2003). Vink et al (1997) studied unsaturated transport of the nematicide aldicarb and the herbicide simazine in a cracked clay soil.…”
Section: Fate and Transport Using A 2d Mixed Hybrid Finite Element Apmentioning
confidence: 99%
“…Their conclusion was that none of these models describe water percolation and pesticide leaching with a complete degree of satisfaction, although, over all the experimentation period (>10 months), the best results on water percolation and pesticide tracer came from PESTLA and SIMULAT. Garratt et al (2003) compared the capacity of seven pesticide models to predict the propagation of aclonifen and ethoprophos in an environment of arable soil. The tested models were: VARLEACH, LEACHP, PESTLA, MACRO, PRZM, PELMO and PLM.…”
Section: Fate and Transport Using A 2d Mixed Hybrid Finite Element Apmentioning
confidence: 99%