Difference between revisions of "Jobs:Job-00160"

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|State member=NO STATE
|State member=NO STATE
|MOI meeting country=France
|MOI meeting country=France
|JOB application_deadline=2020/06/30
|JOB application_deadline=2020-06-30
|JOB begin review process=No
|JOB begin review process=No
|JOB file description=PhD offer UMR LISAH Montpellier-2020.pdf
|JOB file description=PhD offer UMR LISAH Montpellier-2020.pdf
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* collaborate with other researchers and PhD students of his working team and develop national or international partnerships.
* collaborate with other researchers and PhD students of his working team and develop national or international partnerships.


For more information, see uploaded document: https://csdms.colorado.edu/mediawiki/images/PhD_offer_UMR_LISAH_Montpellier-2020.pdf
For more information, see uploaded document: https://csdms.colorado.edu/csdms_wiki/images/PhD_offer_UMR_LISAH_Montpellier-2020.pdf
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Latest revision as of 17:11, 14 October 2021

PhD opportunity in pesticide fate modeling at the catchment scale
University of Montpellier, , France
Apply before: 30 June 2020


The contamination of the air, soil and water resources by pesticides used in agriculture has been largely observed in many regions. To remedy this situation, pressure-impact diagnostic methods are needed both to identify risk situations and to evaluate new agronomic and landscaping strategies that limit the use and dispersion of pesticides. Accordingly, mechanistic modelling approaches have been developed for several years to simulate the impact of cropping systems and the implementation of buffer zones (grass strips, ditches, hedges) on pesticide dispersion and contamination of air, soil and water resources at different scales (plot, catchment, territory). These approaches complement indicator approaches by allowing a more in-depth analysis of the pressure-impact relationship (quantification of contamination levels and temporal dynamics, consideration of threshold effects and complex interactions between dispersion processes, explicit approach to the different impacts of cropping systems). They also allow an analysis of their accuracy by comparison with observations from reference situations. However, these advantages have their counterparts: complexity of modelling, strong data requirements, difficulty of parameterization and calculation time. As a result, the applications of these models for real case studies are still relatively few. This situation is quite general for pesticide transfer models on a landscape scale, and in particular for hydrological models. A general challenge is therefore to develop modelling approaches that can be parameterized with the limited data currently available in agricultural watersheds and that are computation time efficient. This is of importance for consultancy agencies carrying out pressure-impact relationship diagnostics and for agronomists seeking territorial agricultural management strategies that limit the impacts of pesticide applications.

To answer this general challenge, the PhD project aims (i) at assessing the performance of application of a mechanistic landscape model of pesticide transfer in catchments with limited data and (ii) at developing a simplified mathematical form of the mechanistic model by a meta-modelling approach.


Specific objectives
The PhD project aims to

  1. evaluate a hydrological model of pesticide transfer, MHYDAS-Pesticides, developed within the LISAH laboratory, under optimal conditions, using long-term data from a long term observatory (OMERE),
  2. to evaluate the potential use of MHYDAS-Pesticides in the context of reduced data, according to different modelling objectives, and
  3. to build and test a simplified numerical format of the MHYDAS-Pesticides model for different landscape and pedoclimatic configurations using metamodelling techniques.

Organization of the PhD thesis
The PhD project is expected to last 3 years. It will take advantage (i) of the database of the OMERE environmental research observatory, including the catchments of Roujan (Hérault) and Kamech (Cap Bon, Tunisia), and of (ii) of the OpenFLUID platform for modelling landscape flows, both managed by the LISAH, and (iii) of computing resources at the Meso@LR intensive computing mesocenter. The project is also part of a scientific and industrial partnership for the development of operational approaches to diagnose the pressure-impact relationship on the scale of watersheds through collaboration with the Envilys company (http://www.envilys.com). The responsabilities of the PhD student during this project will be to:

  • operate mechanistic modelling of hydrological pesticide and apply numerical methods for sensitivity analysis, model calibration and meta-modelling
  • disseminate results via peer-review publications and attendance of international conferences
  • collaborate with other researchers and PhD students of his working team and develop national or international partnerships.
For more information, see uploaded document: https://csdms.colorado.edu/csdms_wiki/images/PhD_offer_UMR_LISAH_Montpellier-2020.pdf

Of interest for:
  • Terrestrial Working Group
  • Hydrology Focus Research Group