| 项目编号: | NE/P007988/1
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| 项目名称: | Real-time predictions of pesticide run-off risk which: multi-scale visualisations of water quality risks and costs |
| 作者: | Alexis Comber
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| 承担单位: | University of Leeds
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| 批准年: | 2016
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| 开始日期: | 2017-01-01
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| 结束日期: | 2018-31-07
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| 资助金额: | GBP202027
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| 资助来源: | UK-NERC
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| 项目类别: | Research Grant
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| 国家: | UK
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| 语种: | 英语
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| 特色学科分类: | Agri-environmental science 
; (60%)
; Terrest. & freshwater environ. 
; (20%)
; Tools, technologies & methods 
; (20%)
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| 英文摘要: | 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 |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/100329
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| Appears in Collections: | 科学计划与规划
气候变化与战略
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作者单位: | University of Leeds
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| Recommended Citation: | |
Alexis Comber. Real-time predictions of pesticide run-off risk which: multi-scale visualisations of water quality risks and costs. 2016-01-01.
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