Agron. Sustain. Dev.
Volume 25, Number 4, October-December 2005
|Page(s)||465 - 472|
Biases in the spatial estimation of pesticide loss to groundwaterYves 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 firstname.lastname@example.org
© INRA, EDP Sciences 2005
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.