Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal AgroParisTech université Paris-Saclay

Welcome to ECOSYS

UMR ECOSYS - Ecologie fonctionnelle et écotoxicologie des agroécosystèmes

2014-2015 CEPAG

Projet CEPAG : Sytème de laboratoire
© INRA
Contamination of surface waters by pesticides: development and assessment of an evaluation tool to assess pesticide gaseous deposition (Carole Bedos, Benjamin Loubet)
Project duration:

Extended in 2014-2015 (initial: 2009-2012)

Contacts Ecosys :

Carole Bedos et Benjamin Loubet

Description:

Context

Risk assessment of the contamination of surface waters located closed to treated field with pesticides often focuses on the empirical assessment of the contamination by spray drift. Other pathways of transfer are thus often neglected, like gaseous deposition linked to the fraction of pesticide volatilized from the applied surface after the application. However, several studies have shown that gaseous deposition may lead to higher deposition than those linked to spray drift under some circumstances. Such evaluation has been proposed by the FOCUS Air group who also mentioned the lack of operational tools.

Our lab develops and uses experimental and modelling approaches to quantitatively analyse pesticide deposition. Methods and tools have been developed to predict pesticide volatilization (Volt’Air model) as well as atmospheric dispersion and gaseous deposition at the local scale (FIDES model). One output of the previous project carried out from 2010 to 2011 and founded by ONEMA was an operational tool to predict pesticide gaseous deposition on surface waters at the local scale, via deposition curves built from outputs from coupled emission-deposition models.

 Perspectives:

The new project (2014-2015) focuses on:

  • Extension to other types of emission (volatilization from crop surfaces) and buffer zones (edges, trees …); proposition of first recommendations on local configurations to protect surface waters located close to treated fields.
  • Compare with existing dataset.

Further developments could focus on:

  • Comparison with various conditions and configurations.
  • Analysis of the contribution to surface water contamination of gaseous deposition compared to other pathways of contamination (runoff, …).
 Description :

The main actions of the project are:

  • The extension to other types of emission (Volt’Air-Pesticides is replaced by the coupled model Volt’Air Veg developped by coupling Volt’Air-Pesticides and Surfatm and describing thus pesticide volatilization from bare soil as well as from crops) and also to other local spatial configurations including hedges / trees (FIDES is replaced by MODDAS which is able to describe atmospheric dispersion when spatial discontinuities exist); runs are carried out following the same approach as the one developed previously ;
  • new experimentations are carried out with an adapted lab system in order to assess the relevance of the parameterization describing pesticide gaseous exchanges between the air and the water as implemented in the model;
  • comparison with an existing dataset at the field scale;

See also

Publications (from the first project) :

Fait Marquant 2012 de l'UMR (Carole Bedos) : fichier PDF (Open Access)

Bedos C., Loubet B., Barriuso E., 2013. Gaseous deposition contributes to the contamination of surface waters by pesticides close to treated fields. A process-based model study. Environmental Science and Technology, in press. Published online. http://dx.doi.org/doi:10.1021/es402592n

Bedos C., Loubet B., Barriuso E., 2013. Contamination des eaux de surface par les pesticides : évaluation de la part des dépôts gazeux aériens. Innovations Agronomiques, 28, 3, 25-33. http://www6.inra.fr/ciag/Revue/Volume-28-Juin-2013 (Open Access)

poster Olivier Fanucci (2013)

ONEMA website:  www.onema.fr