Issue
Agron. Sustain. Dev.
Volume 25, Number 4, October-December 2005
Page(s) 465 - 472
DOI http://dx.doi.org/10.1051/agro:2005046
Agron. Sustain. Dev. 25 (2005) 465-472
DOI: 10.1051/agro:2005046

Biases in the spatial estimation of pesticide loss to groundwater

Yves Coqueta, Dalila Hadjara, Jean-Marc Gilliota, Marie-Paule Charnaya, Julien Moeysa, Alexandre Dufoura and Nicolas Beaudoinb

a  UMR, INRA/INAPG, Environment and Arable Crops, BP 01, 78850 Thiverval-Grignon, France
b  UR, INRA Agronomy, rue Fernand Christ, 02007 Laon Cedex, France

(Accepted 12 May 2005)

Abstract - Prediction of pesticide fate in soils is highly sensitive to parameters describing sorption and degradation processes, namely the Koc partioning coefficient between the soil solution and organic carbon fraction and the half-life DT50 for degradation. This paper explores the impact of getting Koc and DT50 values either from databases or from site-specific measurements on the predicted fate of atrazine, isoproturon and metamitron on the catchment scale. Pesticide fate on the scale of the Bruyères-et-Montbérault catchment, France, was predicted using the SEAMS software that couples a one-dimensional local-scale model of pesticide fate to a geographic information system. The results show that the use of database average values for Koc and DT50 underestimates the average risk of pesticide leaching calculated from site-specific Koc and DT50 values, whereas maximised risk scenarios based on extreme Koc and DT50 values may be overestimated when using database values. Whenever available, site-specific data should be preferred to limit bias in pesticide leaching risk assessments on the catchment scale.


Key words: pesticide fate / herbicide / spatial variability / soil / environmental risk assessment

Corresponding author: Yves Coquet coquet@grignon.inra.fr

© INRA, EDP Sciences 2005

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