A European test of pesticide-leaching models:: methodology and major recommendations

被引:135
|
作者
Vanclooster, M
Boesten, JJTI
Trevisan, M
Brown, CD
Capri, E
Eklo, OM
Gottesbüren, B
Gouy, V
van der Linden, AMA
机构
[1] Catholic Univ Louvain, Dept Environm Sci & Land Use Planning, B-1348 Louvain, Belgium
[2] ALTERRA, NL-6700 AC Wageningen, Netherlands
[3] Univ Cattolica Sacro Cuore, Ist Chim Agraria & Ambientale, I-29100 Piacenza, Italy
[4] Plant Protect Ctr, Norwegian Crop Res Inst, Bedford MK45 4DT, England
[5] BASF AG, Agrarzentrum Limburgerhof, D-67114 Limburgerhof, Germany
[6] Irstea, Agr & Environm Engn Res, F-69336 Lyon, France
[7] RIVM, NL-3720 BA Bilthoven, Netherlands
关键词
pesticide-leaching modelling; model validation; risk assessment;
D O I
10.1016/S0378-3774(99)00081-5
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Testing of pesticide-leaching models is important in view of their increasing use in pesticide registration procedures in the European Union. This paper presents the methodology and major conclusions of a test of pesticide-leaching models. Twelve models simulating the vertical one-dimensional movement of water, solute, heat, and, in particular, pesticides, through the soil profile were used by 36 different modellers. The adopted modelling codes differ in terms of modelling concepts and modelling hypothesis. Modellers were affiliated to industry and to the scientific community as well. Four quality datasets were identified to perform the analysis. The dataset included field and lysimeter data, collected in the Netherlands, Germany, Italy and the UK. As well, non-structured as structured soils were available in the dataset. To elucidate the ability to model correctly water transport, solute transport, heat transport and pesticide transport in soils, a stepwise evaluation approach was followed. Splitting up the experimental dataset enabled us to quantify the calibration capability and the prediction capability of the models. The simulations were performed by different model users enabling us also to characterise output variability in terms of user dependent interpretation of the model input and parameters. Recommendations are formulated for improving the quality of modelling datasets, and the process description of water, solute, and heat transport in a pesticide-leaching model, plus the process description of pesticide fate. Application of the principles of good modelling practice (GMP) is briefly described. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
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页码:1 / 19
页数:19
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