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Science Classification: Grants and fellowships can have their funding split across several science classifications and financial years. The list below identifies how the funding is divided for this award.


Grant Reference: NE/S016244/1

Title: Engineering Transformation for the Integration of Sensor Networks: A Feasibility Study - 'ENTRAIN'

Total value: £251,614

ENRIsFYValue
Environmental Risks and Hazards2019£50,323
Natural Resource Management2019£176,129
Pollution and Waste2019£25,161
Science AreaFYValue
Atmospheric2019£50,323
Freshwater2019£100,645
Terrestrial2019£100,645
Science TopicFYValue
Artificial Intelligence2019£75,484
Catchment management2019£0
Decision Support (AI)2019£0
Dissolved organic carbon2019£0
Ecohydrology2019£0
Flood risk2019£0
Flow pathways2019£0
Forests2019£0
Fuzzy Logic (AI)2019£0
Groundwater2019£0
Hydrologic scaling2019£0
Hydrological Processes2019£50,323
Hydrological cycle2019£0
Hydropedology2019£0
Intelligent Systems (AI)2019£0
Lakes2019£0
Land - Atmosphere Interactions2019£25,161
Machine Learning (AI)2019£0
Neural Networks (AI)2019£0
Peatlands2019£0
Rainfall events2019£0
Runoff modelling2019£0
Sediment transport2019£0
Sensor networks2019£0
Snow and ice flows2019£0
Soil moisture2019£0
Survey & Monitoring2019£75,484
Uplands2019£0
Water Quality2019£25,161
Water quality2019£0
Water resources2019£0
Water storage2019£0

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