Details of Award
NERC Reference : NE/P007988/1
Real-time predictions of pesticide run-off risk which: multi-scale visualisations of water quality risks and costs
Grant Award
- Principal Investigator:
- Professor A Comber, University of Leeds, Sch of Geography
- Co-Investigator:
- Professor T Hess, Cranfield University, School of Water, Energy and Environment
- Co-Investigator:
- Professor AL Collins, Rothamsted Research, Net Zero and Resilient Farming
- Co-Investigator:
- Professor R Tiffin, University of Reading, Sch of Agriculture Policy and Dev
- Co-Investigator:
- Professor AR Smith, Bangor University, Sch of Natural Sciences
- Grant held at:
- University of Leeds, Sch of Geography
- Science Area:
- Freshwater
- Terrestrial
- Overall Classification:
- Unknown
- ENRIs:
- Environmental Risks and Hazards
- Pollution and Waste
- Science Topics:
- Agricultural inputs
- Agricultural systems
- Crop protection
- Soil pollution
- Soil science
- Water Quality
- Groundwater pollution
- Geo-spatial methods
- Social Stats., Comp. & Methods
- Abstract:
- This Research Translation Project develops a proof of concept to tests the value of real-time predictions of agro-chemical run-off risk at two scales of decision making: field scale for on farm decisions about agro-chemical applications risk and catchment scale for water company groundwater abstraction decisions. Agro-chemicals (fertilisers, pesticides, herbicides, etc) are less effective if they are washed away soon after they are applied. They can also negatively affect ground water quality and the environment. The farmer may have to re-apply the agro-chemical and water companies may have treat groundwater to meet drinking water quality standards, and in some cases change water abstraction locations. For both farmers and water companies additional costs are incurred. This project develops proofs of concept for 2 web-mapping tools to model the risk associated with agro-chemical applications: a catchment-scale tool to support water company decision making and a field-scale tool to support farmer decision making. Both tools combine live, real-time data from the Met Office on rainfall type and probability with landscape models of underlying soil, landform, drainage, land use etc. in order to model agro-chemical runoff risk. User-groups will feedback their experiences about the operational use and functionality of the tools to provide information for the modelling and programming teams to adjust the background engine and front-end functionality. The project outputs will include the specification of for national decision tools, targeted at farmers and water companies, to quantify the risks associated with a full set of common agro-chemical applications designed be accessed using desktop PCs and smartphones. Key Words: Agro-chemical run-off, water quality, environmental risk Stakeholders: Defra, farmers, water companies, AHDB, SARIC members
- NERC Reference:
- NE/P007988/1
- Grant Stage:
- Completed
- Scheme:
- Innovation
- Grant Status:
- Closed
- Programme:
- Innovation - SARIC
This grant award has a total value of £202,027
FDAB - Financial Details (Award breakdown by headings)
| DI - Other Costs | Indirect - Indirect Costs | DA - Investigators | DA - Estate Costs | DI - Staff | DI - T&S | DA - Other Directly Allocated |
|---|---|---|---|---|---|---|
| £24,986 | £57,655 | £35,191 | £15,029 | £43,297 | £25,349 | £519 |
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