Comparison of pesticide leaching models: results using the Weiherbach dataset

Citation
B. Gottesburen et al., Comparison of pesticide leaching models: results using the Weiherbach dataset, AGR WATER M, 44(1-3), 2000, pp. 153-181
Citations number
16
Categorie Soggetti
Agriculture/Agronomy
Journal title
AGRICULTURAL WATER MANAGEMENT
ISSN journal
03783774 → ACNP
Volume
44
Issue
1-3
Year of publication
2000
Pages
153 - 181
Database
ISI
SICI code
0378-3774(200005)44:1-3<153:COPLMR>2.0.ZU;2-Q
Abstract
The leaching of the herbicide isoproturon and the water tracer bromide in t he profile of a silty loam soil at the Weiherbach Catchment area in Germany was simulated by eight different persons using the models MACRO, SIMULAT, LEACHP, WAVE, GLEAMS and PELMO (only bromide). Experimental results from di fferent laboratory studies and from a field study were available to paramet erise the models. Model results concerning water contents, tracer and pesti cide profiles were provided for two different test periods in the field (wi nter and spring). The results for the behaviour of the herbicide and the tr acer in the field study in spring were not known beforehand to the model us ers. Therefore this is considered to be a blind test. After the model users had estimated the parameters and presented the modell ing results a consensus parameter set was provided by the data set co-ordin ator to reduce the subjective influence of individual users and to identify the effect of different model concepts. The most striking points of the modelling exercise were the diversity of pa rameters estimated by different modellers from the same basic data set and the problems of simulating the field behaviour using laboratory derived pes ticide parameters. An overwhelming influence of the individual users on the model results was remarkable for the Weiherbach data set. It was not possible to estimate, fr om the laboratory data, alone a parameter combination suitable for describi ng the field behaviour of isoproturon satisfactorily. The use of Literature data or calibration to the field results of the winter period did improve the simulation results significantly. (C) 2000 Elsevier Science B.V. All ri ghts reserved.