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Assessment of the effects of Best Environmental Practices on reducing pesticide contamination in surface water, using multi-criteria modelling combined with a GIS

Probst, Anne; Uny, Daniel; Almeida Dias, Juscelino; Macary, Francis (2013), Assessment of the effects of Best Environmental Practices on reducing pesticide contamination in surface water, using multi-criteria modelling combined with a GIS, International Journal of Multicriteria Decision Making, 3, 2/3, p. 178-211. http://dx.doi.org/10.1504/IJMCDM.2013.053725

Type
Article accepté pour publication ou publié
External document link
http://hal.archives-ouvertes.fr/hal-00824275
Date
2013
Journal name
International Journal of Multicriteria Decision Making
Volume
3
Number
2/3
Publisher
Inderscience Publishers
Pages
178-211
Publication identifier
http://dx.doi.org/10.1504/IJMCDM.2013.053725
Metadata
Show full item record
Author(s)
Probst, Anne cc

Uny, Daniel

Almeida Dias, Juscelino

Macary, Francis
Abstract (EN)
For half a century, the significant development of intensive farming has led to a massive use of products such as pesticides. The excessive use of these substances has contaminated surface water and groundwater. Drinking water extraction points have also had to be abandoned. Some thirty years ago, in the southwest of France, a group of farmers decided to improve their farming methods, as well as developing new Best Environmental Practices, such as grass strips along streams and riparian forests. By combining the use of ELECTRE TRI-C multi-criteria model with a GIS, we were able to characterise the contribution of each farming area to the risk of surface water contamination with pesticides. We also assessed the effectiveness of different environmental practices. We found that the use of Best Environmental Practices led to a reduction in the risk of pesticides transfer. This methodology re-enforces decision support tools for water resource managers and agricultural and environmental stakeholders.
Subjects / Keywords
Aide à la décision; Système d'information; Analyse muliticritère; Pesticide

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