Objective
To produce comparative environmental data sets detailing the fate and behaviour of pesticides in soil and water systems, identify the most applicable models of pesticide fate and their data requirements at different scales and to develop an integrated modelling system for research and advisory purposes.
1. Evaluation of existing data, primarily from experiments completed during the past 4 to 5 years and having used modern analytical techniques. Both data from small scale columns, lysimeter and small plot field experiments, as well as from large plot field experiments and those involving crop rotation over several seasons will be analysed.
2. Evaluation of existing models will include the assessment of the input/output requirements, the stability and robustness of the models, and their sensivity to changes in input parameters. It will be completed by a direct comparison of the forecasting abilities of the different models against experimental data sets.
3. Experimental programme: A detailed assessment will be made of the types of result expected from the existing experiments the project is associated with. Minimum data requirements will be defined and suggestions will be made for improvement in data generation and collection.
4. Further development of research models. Currently available models wil be analyzed and broken down (logically and operationally) into smaller modules that carry out individual process simulations. This will permit modules from various sources and with different levels of complexicity to be compared in an improved, modular simulation program. Certain new or modified modules may be required to allow for processes such as plant uptake, adsorption/desorption hysteresis, and possible by-pass or preferential flow pathways.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- agricultural sciences agriculture, forestry, and fisheries agriculture
- natural sciences computer and information sciences software software applications simulation software
- natural sciences mathematics applied mathematics mathematical model
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
CV35 9EF Warwick
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.